MODULE CATALOGUE - WiSo-Fakultät · MODULE CATALOGUE BUSINESS ADMINISTRATION: ... CC Compulsory course SPM Supplementary module CH ... OE Oral examniation TR

Please keep in mind the year of validity.

2017/18

FACULTY OF MANAGEMENT,

ECONOMICS AND SOCIAL

SCIENCES

UNIVERSITY OF COLOGNE

PROGRAMME MANAGEMENT UNIT

MODULE CATALOGUE

BUSINESS ADMINISTRATION: Finance

MASTER OF SCIENCE

IN ACCORDANCE WITH THE EXAMINATION REGULATIONS FOR THE SINGLE MAJOR MASTER PROGRAMME IN BUSINESS ADMINISTRATION

BUSINESS ADMINISTRATION: Finance - MASTER OF SCIENCE

ii

PUBLISHED BY: Programme Management Unit of the Faculty of Management, Economics and Social Sciences (“WiSo Faculty”)

EDITED BY:

AD Dr. Johannes Antweiler, Programme Director

Angelika Weiland M. Sc., Programme Manager

ADDRESS: Albertus-Magnus-Platz, 50923 Cologne

E-MAIL: [email protected]

INFORMATION CORRECT AS OF: 18 September 2017


iii

Contacts

WiSo Student Services Advisor(s):

Nicole Kienel, Dipl. Hdl.

Carina Piek, M.Sc.

WiSo Student Services

+49 (0)221/ 470 - 8818

[email protected]

Programme Manager(s): Angelika Weiland

WiSo Programme Management Unit

Programme Director: AD Dr. Johannes Antweiler


iv

List of abbreviations

AM Advanced module PRES Presentation

AS Assignment SI Studium Integrale

C Course SM Specialisation module

CC Compulsory course SPM Supplementary module

CH Contact hours (= time spent in

class) SPW Semester period per week

CM Core Module SSt Self-study

EC Elective course TP Term paper

ECTS Credit point (ECTS) TPF Time required for preparation and

follow-up

OE Oral examniation TR Credit points transferred from an-

other university

PCR Practical component report WL Workload

PO Portfolio WT Written test

PR Project


v

Table of contents

CONTACTS ............................................................................................................... III

LIST OF ABBREVIATIONS ...................................................................................... IV

1 BUSINESS ADMINISTRATION ........................................................................... 1

1.1 Content and objectives of the programme ............................................................... 1

1.2 Requirements .......................................................................................................... 2

1.3 Programme structure ............................................................................................... 3

1.4 Study Abroad Option ................................................................................................ 3

1.5 Sample study plan ................................................................................................... 6

2 SUPPORT FOR STUDENTS ............................................................................... 8

2.1 Calculation of the overall mark ................................................................................. 8

2.2 Rules for failed attempts .......................................................................................... 8

2.3 Subject-specific advice and examination advice ...................................................... 9

2.4 Other sources of information and advice .................................................................. 9

3 CURRICULUM AND MODULE DESCRIPTIONS .............................................. 11

3.1 Core and advanced section ....................................................................................11

3.2 Supplementary section ............................................................................................11

3.3 Specialisation section .............................................................................................13

3.4 Master’s thesis ........................................................................................................14

3.5 Module descriptions ...............................................................................................15

3.5.1 Core and Advanced Section .................................................................................15

3.5.2 Specialisation Section ..........................................................................................29

3.5.3 Supplementary Section ........................................................................................63

3.5.4 Master thesis...................................................................................................... 185


1

1 Business Administration

The job opportunities for graduates from the M.Sc. Business Administration programme com-

bine tasks requiring specialist expertise and responsibility for HR and budget matters in busi-

nesses. The specialist expertise is acquired through the chosen major. The management com-

ponents are covered through content concerning management roles and the requirements they

pose with regard to analytical thinking in dynamic contexts, method-driven, target-oriented be-

haviour, reliability and stress resistance in planning and reporting phases and confident inter-

cultural communication in line with the situation at hand, including English-speaking environ-

ments. The communication skills required include those needed for situations in which em-

ployees and clients need to be involved, informed or given feedback. The specifics of each

major are described in the following sections.

1.1 Content and objectives of the programme

The competences gained by graduates correspond to Level 7 of the German Qualification

Framework (Deutsche Qualifikationsrahmen) or master’s level in the German Qualifications

Framework for German Higher Education Qualifications (Deutsche Qualifikationsrahmen für

Hochschulabschlüsse). The specific intended learning outcomes are as follows: graduates

have detailed specialist knowledge in their specified specialisations and are able to apply that

knowledge in different contexts at various levels of aggregation, including cases in which so-

lutions are sought to business administration problems affecting various areas. They are able

to identify special features and differences in terminology and content and assign them to the

different concepts and doctrines of the field in question whilst also hypothetically accepting

different standpoints and viewing the problem from different perspectives. Graduates contrib-

ute their own standpoints to debate and thus help develop joint standpoints within a group or

organisation. They actively support the principles of academic discourse, call for arguments to

be backed up by methodical and systematic evidence and assess the quality of those argu-

ments. Graduates understand businesses’ role and responsibility in society and can cope with

the challenges and changes in professional life in an ethically and morally appropriate manner.

They are able to keep abreast of research findings, question them and integrate them into their

professional context in an innovative way. They can vary solutions according to the situation

at hand, taking into account dynamic effects and side effects, which they reflect on and antici-

pate. Graduates are able to work on new solutions or research questions in a methodically

efficient way independently and in a team and to take responsibility for the results of their work

and, where necessary, special responsibility for the work of the group. They indicate their own

standpoint and that of the group when faced with alternative decisions and assess the alterna-

tives based on variable criteria, i.e. social, ethical and academic standards. They present the


2

results of their work in a way that is understandable for the target group, using relevant and

efficient media formats. They justify them to experts and clients, even where the information

available to them is incomplete or unreliable.

In the Finance major students learn about capital market instruments and internal corporate

financing methods. Graduates achieve an exceptionally deep fundament of theoretical

knowledge and typical patterns of behaviour in areas of capital markets, corporate, banking

and insurance financing. They are able to diagnose the meaning of enterprise value, compli-

ance and social responsibility. They know how t scale and evaluate risks. Banks and insurers

need to concentrate more on risk measurement and man-agement in the face of tighter regu-

lation. The programme focuses on (corporate) finance, banking and insurance. Jobs can be

found in Banks, insurance companies and providers of capital investment services. Employ-

ment opportunities can also be found in the financial side of consultancies and audit firms.

1.2 Requirements

To be accepted for the Master in Business Administration programme with the Finance major,

applicants must have successfully completed a bachelor programme, on which they earned at

least 180 ECTS credits, or an equivalent programme. In accordance with the Regulations con-

cerning determination of aptitude for the Business Administration programme for the major in

Finance, a programme is deemed successfully completed if the overall mark was at least 2,7

or international equivalent.

The Bachelor programme must also comply with the following subject-related criteria:

at least 78 ECTS credits in the field of Business Administration and Economics and

- of which at least 48 ECTS in the field of Business Administration and

- of which at least 18 ECTS in the field of Economics and

at least 15 ECTS credits in the field of Statistics and/or Mathematics (methodological

expertise only, no user expertise).

Proof of English language skills to at least B2 in line with the Common European Framework

of Reference for Languages must also be supplied by the deadline for application. The gen-

erally established certificates (TOEFL, IELTS, etc.) are recognised.

If the number of applicants who meet the admission requirements is higher than the number

of places available on the programme, a selection process is conducted to rank the applicants.

The selection procedure is based on the result of the applicant’s bachelor degree or of a degree

recognised as being equivalent and the result of a voluntary aptitude test (TM-WISO or GMAT).


3

1.3 Programme structure

The Master in Business Administration programme comprises 120 ECTS credits, lasts four

terms as the standard period of study and consists of the following subject categories: the core

section (18 ECTS credits) consists of basic method modules, chosen by the student. The spe-

cialisation section (48 ECTS credits) consists of modules for the respective major and the

seminar. In the supplementary section (24 ECTS credits), students can choose from among a

wide range of possibilities in the fields of business administration, economics and social sci-

ences. The last section is the master’s thesis, carrying 30 ECTS credits.

1.4 Study Abroad Option

The WiSo Faculty offers a broad range of study abroad options within an excellent network of

prestigious partner universities worldwide. The so-called Study Abroad Programme (STAP)

includes ERASMUS exchanges and provides an opportunity for a single-term stay at one of

the WiSo Faculty's partner universities.

Successful STAP applicants benefit from direct contact and organisational support at the part-

ner university and are exempt from paying tuition fees there. The range of universities available

depends on the master course on which the student is enrolled – the possible options are listed

in the WiSo EXchange (WEX) International Outgoings Portal (access through the stu-

dent's UoC account only), along with detailed information on each university.

Every year, in addition to the STAP programme, the WiSo Faculty organises an exclusive

short-term study option WiSo@NYC which takes place in New York City.

https://wex-outgoings-wiso.uni-koeln.de/login/auth


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In addition to these options offered by the Faculty, master students can also apply for a non-

WiSo exchange, offered by Dezernat 9 – Internationales (Central International Office of the

University of Cologne) within the ‘fakultätsübergreifende Partnerschaften’ framework. Further

possibilities are going abroad as a freemover (i.e. as a student who organises his or her stay

abroad individually) or participating in short courses or summer schools offered under separate

terms and conditions.

For all study abroad options, the International Relations Center (ZIB WiSo) serves as

point of information and advice.

The Faculty’s Study Abroad Programme (STAP):

Master students should plan and submit their application for a term abroad at the beginning of

their master course. The STAP main selection round takes place once a year with application

deadline 1 December and allows for an application either for fall term or spring term of the

following academic year. Detailed information on the selection criteria and the best preparation

for a STAP application can be found online in the STAP Master Application Manual. (As

an exception, if a certain number of slots are still available for spring term, a secondary STAP

selection round will be offered in May, with a limited choice of exchange opportunities):

http://www.international.wiso.uni-koeln.de/international-profile/contact/

http://www.international.wiso.uni-koeln.de/outgoing-students/term-abroad/stap-master/


5

Credit transfer options from studies abroad:

The WiSo Faculty has put a lot of emphasis on internationalisation in the design of its master

courses, offering broad credit transfer options for all kinds of study abroad options. Each mas-

ter course includes at least one "Studies Abroad" module, with a broad range of courses suit-

able for credit transfer. In addition, a single course-to-course credit transfer can be considered.

For more information on credit transfer rules and regulations, please go to WiSo Credit

Transfer Center > Information > Studies Abroad. For any questions regarding credit transfer,

students can contact the ZIB WiSo or the WiSo Credit Transfer Center.

https://www.anrechnungwiso.uni-koeln.de/default/start?lang=en





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1.5 Sample study plan

M.Sc. PROGRAMME IN BUSINESS ADMINSTRATION,

MAJOR in Finance

Term EC/CC

Module Section ECTS

1 EC Core Module I Core section 6

1 CC Specialisation Module Financial

Theory Specialisation section 12


Institutions Management Specialisation section 12

30

2 EC Core Module II Core section 6

2 EC Specialisation Module I Specialisation section 6

2 EC Specialisation Module II Specialisation section 6

2 EC Supplementary Module I Supplementary section 12

30

3 CC Core Module Management Skills Core section 6

3 EC Specialisation Module III Specialisation section 6

3 EC Supplementary Module II Supplementary section 6

3 EC Supplementary Module III Supplementary section 6

3 CC Specialisation Module Seminar Specialisation section 6

30

4 CC Master’s thesis Business Administration Master’s thesis 30

30


7

M.Sc. PROGRAMME IN BUSINESS ADMINSTRATION,

MAJOR in Finance (Studies Abroad included)

Term EC/CC

Module Section ECTS

1 EC Core Module I Core section 6


Theory Specialisation section 12


Institutions Management Specialisation section 12

30

2 EC Core Module II Core section 6

2 CC Core Module Management Skills Core section 6

2 EC Specialisation Module I Specialisation section 6

2 EC Specialisation Module II Specialisation section 6

2 CC Specialisation Module Seminar Specialisation section 6

Studies Abroad 30

3 EC Specialisation Module III Specialisation section 6

3 EC Supplementary Module Studies Abroad I Supplementary section 12

3 EC Supplementary Module Studies Abroad II Supplementary section 12

30

4 CC Master’s thesis Business Administration Master’s thesis 30

30


8

2 Support for students

2.1 Calculation of the overall mark

The marks for core and advanced, supplementary and specialisation categories are calculated

as the weighted arithmetic mean of the marks for the respective modules, based on the

weighting system described in the annexes. In the case of end-of-module examinations con-

sisting of several components, the mark for the module is calculated as specified in the annex.

The overall mark for the degree is calculated as the weighted arithmetic mean of the marks for

the subject categories and the mark for the master’s thesis. On the Business Administration

programme, the weighting for the contributions to the overall mark is as follows:

a) Mark for core and advanced section: 12 of 114 ECTS credits

b) Mark for specialisation section: 48 of 114 ECTS credits

c) Mark for supplementary section: 24 of 114 ECTS credits

d) Mark for master’s thesis: 30 of 114 ECTS credits

2.2 Rules for failed attempts

Students may retake module examinations that they have failed. The number of attempts is

limited to three per module. Modules offered by faculties other than the Faculty of Manage-

ment, Economics and Social Sciences (“WiSo Faculty”) may be subject to different rules.

In addition, a further two resit attempts can be granted to students at any point of the pro-

gramme. If they wish to take additional resits, they must apply to do so in writing to the WiSo

Examination Office within three months of their examination result being announced. If a stu-

dent’s application is approved, the additional examination attempt must take place within

twelve months. Students who have accumulated at least 90 credit points shall be granted a

further additional attempt. If a student fails an examination in the two additional attempts and

the extra attempt for students with 90 points or more, they are deemed to have failed the

programme at the final attempt. However, students may only apply for additional attempts be-

yond the initial three attempts if none of the first three examination attempts were failed due to

cheating or to an offence. We recommend all students who fail the initial three attempts to seek

advice from WiSo Student Services before embarking upon an additional attempt.

Where a module examination consists of several components, the candidate must obtain a

“bestanden” (pass) mark, or at least an “ausreichend (4,0)“ (sufficient) mark, in all of the ex-

amination components. All components marked “mangelhaft (5,0)” or “nicht bestanden” (fail)

must be retaken.


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It is not possible to resit module examinations that have already been passed.

A failed master’s thesis can be retaken once, with a new topic. Students must register for their

second attempt within six months of the result of their first attempt being announced.

2.3 Subject-specific advice and examination advice

The WiSo Faculty has established a Double Master's Programme in Business Administra-

tion in cooperation with several partner universities. Students admitted to the double degree

track are spending one year at a partner university and receive the master’s degrees of both

universities after successful completion. The International Relations Center (ZIB WiSo)

serves as point of information and advice concerning the application process and the study

plan.

WiSo Student Services (WiSo-Studienberatungszentrum) provides general advice on stud-

ies, including the possibilities available and the requirements, for all programmes offered by

the WiSo Faculty. It offers subject-specific recommendations concerning students’ study plan

for their first term on the respective programme plus information on the structures of the various

programmes. WiSo Student Services is also the first place to turn to for students with other

questions and problems related to their studies. It can be contacted by phone, in person and,

of course, e-mail. Please notice the opening hours and contact data on the website.

Subject-specific advice is provided during the designated times by the University’s faculty

members and associated teaching staff (“akademische Mitarbeiterinnen und Mitarbeiter”) in-

volved in the teaching on the programme. The designated times are announced by means of

notices in the institutes and on the departments’/institutes’ websites.

Legally binding information concerning examinations and examination procedures is provided

by the WiSo Faculty Examination Offices. These offices also issue transcripts of records in

German and English, ranking certificates and letters of assignment to the appropriate term of

the programme. All the necessary information, contact details and opening hours can be found

on the website.

2.4 Other sources of information and advice

The campus management system used by the University of Cologne KLIPS 2.0 can also be

used as the WiSo Faculty’s online course catalogue and to (un)subscribe for lectures and ex-

amonations. Students who have questions concerning KLIPS should contact the KLIPS Sup-

port. Important dates and deadlines are published at the KLIPS information website.

International students who study at the WiSo Faculty for part of their programme can turn to

the International Relations Center (“Zentrum für Internationale Beziehungen” or “ZIB”)

for help with any questions they have. Cologne University students preparing to study abroad

https://www.wiso.uni-koeln.de/de/studium/master/double-masters-programmes/business-administration/

https://www.wiso.uni-koeln.de/de/studium/master/double-masters-programmes/business-administration/


https://www.wiso.uni-koeln.de/en/studies/service-and-guidance/wiso-student-service/

https://www.wiso.uni-koeln.de/en/faculty/managing-board/examination-office/front-page/

https://klips2.uni-koeln.de/co/webnav.ini

http://www.klipsteam.uni-koeln.de/hilfesupport.html?&L=1

http://www.klipsteam.uni-koeln.de/hilfesupport.html?&L=1

https://www.wiso.uni-koeln.de/en/studies/organizing-your-studies/information-about-klips-and-klips-20/

https://www.wiso.uni-koeln.de/de/international/


10

can also contact the ZIB for support. The Center also runs a variety of summer schools, short

programmes and Business English courses. The services, courses and people to contact can

all be found on the website.

The Faculty’s Credit Transfer Centre (Zentrum für die Anrechnung auswärtiger Leis-

tungen) is responsible for recognising credits accumulated in other institutions. This applies

both to credits students have gained at other higher education institutions in Germany or

abroad prior to studying at the WiSo Faculty, and to (advance) transfer of credits that students

plan to accumulate abroad or have already accumulated abroad as part of a WiSo Faculty

programme. This system does away with the need to make individual inquiries to depart-

ments/institutes and examination offices. Students can find out everything they need to know

about the transfer process on the website.

The WiSo Career Service offers advice and support, in cooperation with other partners, for

students from the WiSo Faculty looking for an internship or profession that is right for them. It

also helps them as they plan their career and apply for jobs. In addition, the WiSo Career

Service organises seminars, presentations and special events in cooperation with employers

and external and internal experts. All of the necessary information can be found on the website.

The WiSo IT Service runs regular courses dealing with standard software and field-specific

programs.

Students who are having difficulties with their studies or their personal lives can seek help from

the Psychosocial Counselling Service run by the Kölner Studentenwerk. In addition to coun-

selling, it also provides advice on writing and learning skills plus support for pregnant students

and students who have children.

A further service is Nightline Köln, the listening and information helpline run by students for

students at all of Cologne’s institutions of higher education.


http://www.wiso-career.uni-koeln.de/en/

https://www.wiso.uni-koeln.de/de/service/wiso-it-services/

http://www.kstw.de/

http://www.nightline-koeln.de/


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3 Curriculum and module descriptions

3.1 Core and advanced section

In accordance with section 29(1), No. 1 of the Examination Regulations, the examination candidate must obtain 18 ECTS credits in the core and advanced section.

Group

Module ECTS CC

/ EC

Required ECTS

Basic methods Fi-nance

Core Module Management Skills 6 CC 6 18

Core Module Econometrics 12 EC 12

Core Module Microeconomics II 6 EC

Specialisation Module Advanced Statistics (Stochastic Processes) 6 EC

Specialisation Module Advanced Statistics (Statistical Inference) 6 EC

Core Module Experimental Methods 6 EC

Core Module Applied Econometrics 6 EC

3.2 Supplementary section

In accordance with section 29(1), No. 3 of the Examination Regulations, the examination candidate must obtain 24 ECTS credits in a sub-group of the supplementary section.

Group

Module ECTS CC/

EC Required ECTS

Accounting and Tax-ation

Specialisation Module Corporate Taxation 12 EC 24

Specialisation Module Operative and Strategic Controlling 12 EC

Specialisation Module International Accounting and Corporate Valuation

12 EC

Specialisation Module Selected Issues in Business Taxation I 6 EC

Specialisation Module Selected Issues in Business Taxation II 6 EC

Specialisation Module Value-Based Controlling 6 EC

Specialisation Module Selected Issues in Accounting and Auditing I 6 EC

Business Research Specialisation Module Research in Finance 1 (Research Track) 6 EC 24

Specialisation Module Research in Finance 2 (Research Track) 6 EC

Specialisation Module Research on Organizations and Innovation (Research Track) 6 EC

Specialisation Module Research in Personnel Economics: Incentives and Behav-iour (Research Track)

6 EC

Specialisation Module Research in Supply Chain Management (Research Track) 6 EC

Specialisation Module Research in Marketing (Research Track) 6 EC

Core Module Econometrics (Research Track) 12 EC

Core Module Microeconomics I (Research Track) 6 EC

Core Module Microeconomics II (Research Track) 6 EC

Core Module Macroeconomics I (Research Track) 6 EC

Core Module Macroeconomics II (Research Track) 6 EC

Core Module Mathematics / Methods (Research Track) 12 EC

Design & Behavior Core Module Microeconomics I 6 EC 24


Specialisation Module Economic Engineering 6 EC

Specialisation Module Auction Theory 6 EC

Specialisation Module Contract Theory 6 EC

Specialisation Module Behavioral Economics 6 EC

Core Module Experimental Methods 6 EC

Specialisation Module Matching and Market Design: Theory and Practice 6 EC


12

Finance Specialisation Module Finance 1 6 CC 24

Specialisation Module Finance 2 6 EC






Specialisation Module Selected Issues in Finance IV 6 EC

Specialisation Module Value-Based Management in Insurance 6 EC

Markets & Institu-tions

Core Module Microeconomics I 6 EC 24


Specialisation Module Competition Policy 6 EC

Specialisation Module Specific Markets A 6 EC

Specialisation Module Specific Markets B 6 EC

Specialisation Module Common Topics: Markets and Institutions/ Public Economics 6 EC

Specialisation Module Matching and Market Design: Theory and Practice 6 EC

Macroeconom-ics, Money and Financial Mar-kets

Core Module Macroeconomics I 6 EC 24

Core Module Macroeconomics II 6 EC

Specialisation Module Foundations in Macroeconomics, Money and Financial Mar-kets A

6 EC

Specialisation Module Foundations in Macroeconomics, Money and Financial Mar-kets B

6 EC

Specialisation Module Foundations in Macroeconomics, Money and Financial Mar-kets C

6 EC

Specialisation Module Topics in Macroeconomics, Money and Financial Markets 6 EC

Growth, La-bor and Ine-quality in the Global Econ-omy

Core Module Macroeconomics I 6 EC 24

Core Module Macroeconomics II 6 EC

Specialisation Module Foundations in Growth, Labor and Inequality in the Global Economy A

6 EC

Specialisation Module Foundations in Growth, Labor and Inequality in the Global Economy B

6 EC

Specialisation Module Foundations in Growth, Labor and Inequality in the Global Economy C

6 EC

Specialisation Module Topics in Growth, Labor and Inequality in the Global Economy 6 EC

Specialisation Module Common Topics: Markets and Institutions/ Public Economics 6 EC

Statistics & Econo-metrics

Core Module Econometrics 12 EC 24

Specialisation Module Time Series Analysis 6 EC

Specialisation Module Microeconometrics 6 EC

Specialisation Module Bayesian Econometrics 6 EC

Specialisation Module Statistical Analysis of Financial Data 6 EC

Specialisation Module Advanced Statistics (Stochastic Processes) 6 EC

Specialisation Module Advanced Statistics (Statistical Inference) 6 EC

Specialisation Module Topics in Statistics A 6 EC

Specialisation Module Topics in Statistics B 6 EC

Specialisation Module Topics in Econometrics C 6 EC

Specialisation Module Topics in Econometrics D 6 EC

Specialisation Module Seminar Statistics and Econometrics 6 EC

Studies Abroad Studies Abroad I (Master) 12 CC 24

Studies Abroad II (Master) 12 CC


13

3.3 Specialisation section

In accordance with section 29(1), No. 2 of the Examination Regulations, the examination candidate must obtain 48 ECTS credits in the specialisation section.

Group

Module ECTS CC/

EC Required ECTS

Foundation Knowledge Specialisation Module Financial Theory 12 CC 24

Specialisation Module Financial Institutions Management 12 CC

Advanced/Elective

Module

Specialisation Module Finance 1 6 EC Max. 18








Specialisation Module Value-based Management in Insurance 6 EC

Specialisation Module Selected Issues in Finance I 12 EC

Specialisation Module Selected Issues in Finance II 6 EC

Specialisation Module Selected Issues in Finance IV 6 EC



Seminare Specialisation Module Advanced Seminar Finance I 6 EC Min.

6 Specialisation Module Advanced Seminar Finance II 6 EC


14

3.4 Master’s thesis

The master’s thesis, which carries 30 ECTS credits, is written towards the end of the pro-

gramme. It is intended to show that the student is capable of conducting academic work on

and reflecting on a specific problem related to the subject matter covered on the programme,

using the necessary methods and within a specified period. The topic of the master’s thesis on

the Business Administration programme must come from the specialisation section or from the

subject group taken by the candidate in the supplementary section. If the topic relates to the

supplementary section, the candidate must already have accumulated 18 ECTS credits in said

supplementary section.

Group master’s theses are also permitted provided a clear distinction between and assess-

ment of each candidate’s contribution is possible. Objective criteria that make a clear distinc-

tion possible, such as sections, page numbers or topics, are used to indicate which student

made which contribution. The total workload required of each group member must exceed the

requirements for individual masters’ theses to an appropriate extent. The difficulty and content

of a group thesis must meet the same requirements as for theses undertaken individually and

independently. The contribution made by each individual must meet the requirements for mas-

ters’ theses.

To register to do their master’s thesis, students must have accumulated a minimum of 60 ECTS

credits. They may take no longer than six months to write the thesis. Further, more detailed

information on master’s theses can be found in the Examination Regulations.


15

3.5 Module descriptions

3.5.1 Core and Advanced Section

Core Module Management Skills

Module Code 1011BMMS00

Workload 180

ECTS Credits 6

Modulspra-

che German and

English

Module

Availability Every Term

Duration 1 Term

1 Courses Management Skills

Contact

Hours 30

Self-Studies 150

Course Langugage English

2 Learning Objectives Students...

...analyse the social and methodical aspects of management tasks in companies for

specific situations.

...can distinguish between and analyse the various management task functions in the

areas of leadership, communication, presentation, planning, analysis and reflection.

...define the necessary analytical and organisational tasks within one area of manage-

ment.

...analyse the requirements for typical management skills from the perspective of one

area of management.

...compare suitable approaches and theories based on situational requirements.

...select suitable methods and practise managing the situation using those methods.

…reflect on and assess their own actions and those of others and identify development

poten-tial.

...identify any additional requirements and suggest ways of enhancing specific meth-

ods.

...engage in academic discourse.

3 Module Content • Models of leadership, communication, presentation, planning, analysis and reflection

• Rules and techniques for and phases of leadership, communication, presentation,

planning, analysis or reflection

• Requirements, influencing factors and make-or-break criteria concerning the social

and me-thodical aspects of management tasks

• Disriptive factors and difficulties in the performance of management tasks

• Typical management task situations

4 Teaching and Learning Methodsen Seminar

5 Module Entry Requirements No recommendations


16

6 Mode of End-of-Module Examination Combined examination: PRES, TP

7 Prerequisites for Awarding of Credit Points Passing the combined examination.

8 Other Programmes that use the Module Master of Science Business Administration - Accounting and Taxation: Core and Ad-

vanced Section Accounting and Taxation Master of Science Business Administration - Corporate Development: Core and Ad-

vanced Section Corporate Development Master of Science Business Administration - Finance: Core and Advanced Section Fi-

nance Master of Science Business Administration - Marketing: Core and Advanced Section

Marketing Master of Science Business Administration - Supply Chain Management: Core and Ad-

vanced Section Supply Chain Management Master of Science Business Administration - Media and Technology Management:

Core and Advanced Section Media and Technology Management

9 Module Manager Leitung WiSo-Career-Service

10 Miscellaneous A range of seminars are offered, each focusing on different aspects of management

skills.


17

Core module Microeconomics II

Module

Code 1289BMMi02

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module

Availability

Duration 1 Term

1 Courses Game Theory

Contact

Hours 60

Self-Studies 120



...acquire basic knowledge of game theory.

...understand where game theory can be applied in political and social science.

...identify the links between game theory and experimental economics.

3 Module Content • Non-cooperative game theory

• Games in normal form

• Games in extensive form, with perfect and imperfect information

• Finitely and infinitely repeated games

• Cooperative game theory

• Kern, Shapley value, negotiation solutions

• Evolutionary game theory

• Introduction

• Social choice theory and elections

• Condorcet’s paradox, Arrow’s theorem

4 Teaching and Learning Methodsen Exercises Lecture


6 Mode of End-of-Module Examination Written examination: WT (60)

7 Prerequisites for Awarding of Credit Points Passing the written test.

8 Other Programmes that use the Module Master of Science Economics: Core and Advanced Section Economics Master of Science Business Administration - Accounting and Taxation: Core and Ad-

vanced Section Accounting and Taxation Master of Science Business Administration - Corporate Development: Core and Ad-

vanced Section Corporate Development Master of Science Business Administration - Finance: Core and Advanced Section Fi-

nance Master of Science Business Administration - Marketing: Core and Advanced Section

Marketing Master of Science Business Administration - Media and Technology Management: Core

and Advanced Section Media and Technology Management


18

Master of Science Business Administration - Supply Chain Management: Core and Ad-

vanced Section Supply Chain Management Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science Sociology and Social Research: Supplementary Section Sociology

and Social Research Master Regionalwissenschaften China: VWL MA Reg China Master Regionalwissenschaften Lateinamerika: VWL MA Reg Lateinamerika Master Regionalwissenschaften Osteuropa: VWL MA Reg Osteuropa Master Geographie: VWL Master Geographie Master Wirtschaftsmathematik: VWL MA Mathe/Wirtschaftsmathe

9 Module Manager Univ.-Prof. Dr. Bettina Rockenbach

10 Miscellaneous


19

Core Module Econometrics

Module

Code 1314BMEc00

Workload 360

ECTS Credits 12

Module Lan-

guage English

Module

Availability Fall Term

Duration 1 Term

1 Courses Core Econometrics

Contact

Hours 90

Self-Studies 270



...have basic knowledge of econometric methods, enabling them to understand scien-

tific contribu-tions in the field of empirical economic research and to conduct empirical

studies on economic issues independently.

...create econometric models and choose between alternative model specifications.

...can estimate parameters of linear and generalised regression models, models for dis-

crete and limited dependent variables and time series models, using suitable inference

methods, and con-duct hypothesis tests.

...generate forecasts for economic variables.

3 Module Content • Linear regression model and OLS method

• Generalised linear regression model with heteroskedastic/autocorrelated errors and

(F)GLS method

• Endogeneity and instrumental variables

• Maximum likelihood method • Generalised moment method

• Models for discrete and limited dependent variables

• Univariate and multivariate time series models • Panel models





8 Other Programmes that use the Module Master of Science Business Administration - Finance: Core and Advanced Section Fi-

nance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Core and Advanced Section Economics Master of Science Business Administration - Supply Chain Management: Core and Ad-

vanced Section Supply Chain Management Master Wirtschaftsmathematik: VWL MA Mathe/Wirtschaftsmathe


20

Master Regionalwissenschaften China: VWL MA Reg China Master of Science Business Administration - Media and Technology Management: Core

and Advanced Section Media and Technology Management Master of Science Business Administration - Media and Technology Management: Sup-

plementary Section Media and Technology Management Master Geographie: VWL Master Geographie Master Regionalwissenschaften Osteuropa: VWL MA Reg Osteuropa Master of Science Business Administration - Corporate Development: Core and Ad-

vanced Section Corporate Development Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development MSC Mathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Science Sociology and Social Research: Supplementary Section Sociology

and Social Research Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science Business Administration - Accounting and Taxation: Core and Ad-

vanced Section Accounting and Taxation Master of Science Business Administration - Accounting and Taxation: Supplementary

Section Accounting and Taxation Master Regionalwissenschaften Lateinamerika: VWL MA Reg Lateinamerika Master of Science Business Administration - Marketing: Supplementary Section Market-

ing Master of Science Business Administration - Marketing: Core and Advanced Section

Marketing

9 Module Manager Univ.-Prof. Dr. Roman Liesenfeld

10 Miscellaneous


21

Specialisation module Advanced Statistics (Stochastic Processes)

Module Code 1314SMAS03

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module

Availability Spring Term

Duration 1 Term

1 Courses Stochastic Models

Contact

Hours 60

Self-Studies 120



...acquire advanced knowledge of probability theory and stochastic modelling, which

form the basis upon which statistical inference methods are applied in empirical eco-

nomic research.

...learn how to calculate and interpret probabilities and how to model economic phe-

nomena with the aid of random variables and stochastic processes.

3 Module Content • Probabilities and random variables

• Moments of random variables

• Parametric families of univariate und multivariate probability distributions

• Basic elements of asymptotics • Stochastic processes


5 Module Entry Requirements Recommended: Solid basic knowledge of probability theory gained in bachelor degree,

Core Module in Mathematics (BSc in Economics/Business Administration) and core and

advanced modules in Statistics (BSc in Economics/Business Administration).




nance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Specialisation Section Economics Master of Science Business Administration - Supply Chain Management: Core and Ad-

vanced Section Supply Chain Management Master of Science Business Administration - Media and Technology Management: Core


plementary Section Media and Technology Management Master of Science Business Administration - Corporate Development: Core and Ad-

vanced Section Corporate Development


22

Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science Business Administration - Accounting and Taxation: Core and Ad-


Section Accounting and Taxation Master of Science Business Administration - Marketing: Core and Advanced Section

Marketing Master of Science Business Administration - Marketing: Supplementary Section Market-

ing

9 Module Manager Univ.-Prof. Dr. Roman Liesenfeld Prof. Dr. Rainer Dyckerhoff

10 Miscellaneous


23

Specialisation module Advanced Statistics (Statistical Inference)


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Advanced Statistics (Statistical

Inference)

Contact

Hours 60

Self-Studies 120



...acquire advanced knowledge of parameter estimation and testing of statistical hypoth-

eses.

...learn the fundamentals of statistical data collection methods.

...learn the theoretical fundamentals of point and interval estimation and of hypothesis

testing.

...learn how to perform special parametric and non-parametric estimations and tests.

...learn how to perform statistical inference analysis of stochastic models.

3 Module Content • Sampling

• Theory of point and interval estimation and estimation methods

• Theory of hypothesis testing and test procedures

• Estimation and testing for stochastic processes


5 Module Entry Requirements Recommended: Core Module Advanced Statistics (Stochastic Processes), solid basic

knowledge of probability theory gained in bachelor degree, Core Module in Mathemat-

ics (BSc in Economics/Business Administration) and core and advanced modules in

Statistics (BSc in Eco-nomics/Business Administration).








24

Master of Science Business Administration - Media and Technology Management: Sup-







ing


10 Miscellaneous


25

Core Module Experimental Methods

Module Code 1289BMEM00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Experimental Methods

Contact

Hours 60

Self-Studies 120



...are introduced to different experimental economic research methods and applica-

tions.

...discuss the advantages and disadvantages of specific experiment design elements.

...assess different methods for evaluating data from economic experiments.

3 Module Content The course discusses the methodology of experimental economics, covering ques-

tionsf experimental design, experimental implementation and evaluation of economic

experiments.






nance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Business Administration - Supply Chain Management: Core and Ad-

vanced Section Supply Chain Management Master of Science Business Administration - Supply Chain Management: Supplemen-

tary Section Supply Chain Management Master of Science Business Administration - Media and Technology Management:

Core and Advanced Section Media and Technology Management Master of Science Business Administration - Media and Technology Management: Sup-



Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Science Sociology and Social Research: Supplementary Section Sociology


26


vanced Section Accounting and Taxation Master of Science Business Administration - Marketing: Core and Advanced Section

Marketing


10 Miscellaneous Recommended reading: Friedman and Sunder, Experimental Methods: A Primer for

Economists, Cambridge University Press (1994)


27

Core Module Applied Econometrics

Module

Code 1287ApEc00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module

Availability Every Second

Term - Fall

Term

Duration 1 Term

1 Courses Applied Econometrics (2nd

Term)

Contact

Hours 60

Self-Studies 120



...acquire basic knowledge of econometric methods, enabling them to understand aca-

demic contributions in the field of empirical economic research and to conduct empirical


...learn how to create econometric models and choose between alternative model speci-

fications.

...learn how to estimate parameters of linear and generalised regression models, mod-

els for dis-crete and limited dependent variables and time series models, using suitable

inference methods, and how to conduct hypothesis tests.

...learn how to generate forecasts for economic variables.

3 Module Content • Linear regression model

• Endogeneity and instrumental variables

• Maximum likelihood method

• Generalised moment method

• Models for discrete and limited dependent variables

• Univariate and multivariate time series models

• Panel models






nance Master of Science Business Administration - Supply Chain Management: Core and Ad-

vanced Section Supply Chain Management


28

Master of Science Business Administration - Media and Technology Management: Core

and Advanced Section Media and Technology Management Master of Science Business Administration - Corporate Development: Core and Ad-

vanced Section Corporate Development Master of Science Business Administration - Accounting and Taxation: Core and Ad-


Marketing

9 Module Manager Konveniat Volkswirtschaftslehre N.N.

10 Miscellaneous This module consists of at least one course which takes place either until the middle of

the semester (1. term) or from the middle of the semester (2. term). You can find this in-

formation in the field “Courses” of the module descriptions. In general midterm of the fall

semester ends in December and of the summer semester in May. The appropriate ex-

aminations are offered in the middle of the semester often.


29

3.5.2 Specialisation Section

Specialisation Module Financial Theory

Module

Code 1259SFiTh0

Workload 360

ECTS Credits 12

Module Lan-

guage English

Module


Term - Fall

Term

Duration 1 Term

1 Courses a) Capital Market Theory (1.

Term) b) Corporate Finance Theory

(1. Term)

Contact

Hours a) 60 b) 60

Self-Studies a) 120 b) 120

Course Langugage a) English b) English


…obtain a profound knowledge of capital market theory.

…analyse investment decisions.

…understand asset pricing models.

…determine the value of securities and derivatives.

…use different methods of valuing companies and individual assets.

…analyse annual accounts in order to extract value relevant information, for example

capital structure decisions.

…recognize different theories explaining M&A‐ activities and explain them with empiri-

cal findings.

…analyse manager interests in mergers and acquisitions.

3 Module Content • Capital markets and consumption

• Investment decisions given certainity and uncertainity

• Portfolio theory

• Asset pricing models

• Analysis and valuation of forwards, futures, and options

• Equity valuation models (in particular Discounted Cash Flow methods, models of re-

sidual income, Multiples approach)

• Impact of financial policies

• M&A‐ activities and defensive strategies

• Aspects of balancing of accounts and financial realisation of mergers and acquisitions




30


7 Prerequisites for Awarding of Credit Points Passing the written test. Both courses must be attended; the examination refers to top-

ics of both courses.

8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance Master of Science Economics: Supplementary Section Economics Master of Science Business Administration - Supply Chain Management: Supplemen-

tary Section Supply Chain Management Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: BWL MA Reg China Master Geographie: BWL Master Geographie Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development MSC Mathematik: WiWi MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Education Wirtschaftspädagogik/Lehramt an Berufskollegs: Supplementary

Section Wirtschaftspädagogik Master of Science Business Administration - Accounting and Taxation: Supplementary

Section Accounting and Taxation Master of Science International Management: Supplementary Section International

Management Master of Science Business Administration - Marketing: Supplementary Section Market-

ing Master of Science International Management: Core and Advanced Section International

Management

9 Module Manager Univ.-Prof. Dr. Dieter Hess Univ.-Prof. Dr. Alexander Kempf Dr. Alexander Pütz







31

Specialisation Module Financial Institutions Management

Module

Code 1259SFIMa0

Workload 360

ECTS Credits 12

Module Lan-

guage English

Module


Duration 1 Term

1 Courses a) Insurance Economics b) Risk Management (2. Term)

Contact

Hours a) 60 b) 60




...analyse various risk measures in terms of effective risk/return management.

...apply risk measures to decision-making problems in bank operations.

...assess regulatory standards intended to limit risk.

...are familiar with the methods for measuring market and default risks.

...assess instruments for controlling market and default risks.

...analyse insurance supply and demand.

...explain information symmetry and asymmetry.

...assess the institutional parameters for insurance markets.

...calculate premiums and reserves in life and indemnity insurance.

3 Module Content Risk Management

• Risk control on perfect and imperfect financial markets

• Risk and risk measures

• Management of liquidity risk

• Management of interest rate risk • Management of default risk

Insurance Economics

• Insurance demand theory

• Production theory in insurance

• Market balance in regard to information symmetry and asymmetry

• Basics of sector-specific tariff calculation and reserve creation

• Claim settlement • Introduction to solvency standards







32


tary Section Supply Chain Management Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master of Science Gesundheitsökonomie: Supplementary Section Gesund-

heitsökonomie Master Regionalwissenschaften China: BWL MA Reg China Master Geographie: BWL Master Geographie Master of Science Business Administration - Corporate Development: Supplementary





ing

9 Module Manager Univ.-Prof. Dr. Thomas Hartmann-Wendels Univ.-Prof. Dr. Heinrich R. Schradin







33

Specialisation module Finance 1

Module

Code 1259SMFi01

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term - Fall

Term

Duration 1 Term

1 Courses Application of Capital Market

Theory (2. Term)

Contact

Hours 60

Self-Studies 120



...put together and implement optimum securities portfolios.

...analyse investment performance and its causes.

...control risks using derivatives.

...create new financial instruments.

...work on practical exercises and case studies to discuss the knowledge and methods

learned in class.

3 Module Content • Portfolio theory and practical application thereof

• Performance measurement and attribution

• Trading strategies using derivatives

• Risk management

• Financial engineering





8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance Master of Science Economics: Supplementary Section Economics Master of Science International Management: Supplementary Section International


ing Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development Master of Science Business Administration - Accounting and Taxation: Supplementary


34

Section Accounting and Taxation Master of Science Business Administration - Supply Chain Management: Supplemen-

tary Section Supply Chain Management

9 Module Manager Univ.-Prof. Dr. Alexander Kempf Dr. Alexander Pütz







35

Specialisation Module Finance 2

Module

Code 1259SMFi09

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term - Spring

Term

Duration 1 Term

1 Courses Fixed Income Management (1.

Term)

Contact

Hours 60

Self-Studies 120



...learn about the institutional framework related to asset management.

...analyse various investment styles and their prospects of success.

...value stock, bonds and combined stock/bond portfolios.

...calculate the risks involved in stocks and bonds.

...weigh the anticipated return against the risk taken in order to ensure professional risk

man-agement.

...compare portfolio management strategies.


learned in class.

3 Module Content • Types of bond and risk factors

• Yield curves

• Bond valuation and management

• Interest rate derivatives


5 Module Entry Requirements None



8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance Master of Science Business Administration - Supply Chain Management: Supplemen-



36





ing








37


Module

Code 1259SMFi03

Workload 180

ECTS Credits 6

Module Lan-

guage German

Module


Duration 1 Term

1 Courses Investment Banking

Contact

Hours 60

Self-Studies 120

Course Langugage German


...identify the different types of investment bank, their business activities and their mar-

kets.

...analyse the impact of regulatory changes on investment banks’ structures and activi-

ties and the markets they serve.

...define investment banks’ issuance activities.

...analyse the suitability of different financing instruments for debt and equity markets

from the perspective of the issuers and potential investors.

...apply different pricing methods to determine an issue yield in line with the market.

...explore the different forms of asset-backed transaction.

...analyse ways of using ABS to control credit portfolios and optimise regulatory equity.

3 Module Content Investment banks

• Types

• Theoretical explanations

• Business activities

• Markets

• Historical development

• Issuing securities Mergers & acquisitions

• Asset-backed transactions

• Basic structure and types

• Securitisation procedure

• Legal and regulatory requirements

• Traditional versus synthetic securitization

• Applications and limitations

• Credit portfolio control using ABS





38


8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance

9 Module Manager Dr. Wolfgang Spörk Univ.-Prof. Dr. Thomas Hartmann-Wendels

10 Miscellaneous


39


Module

Code 1259SMFi04

Workload 180

ECTS Credits 6

Module Lan-

guage German

Module


Duration 1 Term

1 Courses Praxisorientierte Banksteue-

rung (1. Term)

Contact

Hours 60

Self-Studies 120



…analyse profitability using various measuring strategies.

…understand different credit rating methods.

…are familiar with various rating and scoring models.

…determine loan terms that are commensurate with the risk involved.

…apply planning methods to liquidity management.

...determine prices for lending and deposit products.

...calculate the profit contributions from different sources of income.

...understand how banks are managed on the basis of the market interest rate method.

3 Module Content • Profitability analysis in banks

• Risk-based capital allocation

• Rating/scoring models

• IRBA and pool rating systems

• Credit pricing

• Funds transfer pricing models

• Maturity transformation risks

• Cash flow modelling

• Risk management reporting

• Business performance planning



6 Mode of End-of-Module Examination Combined examination: WT (60), TP


8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Business Administration - Corporate Development: Supplementary


40

Section Corporate Development Master of Science Business Administration - Marketing: Supplementary Section Market-

ing Master of Science Business Administration - Accounting and Taxation: Supplementary










41


Module

Code 1259SMFi10

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Duration 1 Term

1 Courses a) Reinsurance and alternative

Risk Transfer b) Konzernsteuerung und Ge-

genseitigkeit

Contact

Hours a) 30 b) 30


Course Langugage a) German b) German


...know levels of management in insurance companies.

...investigate value-based management of insurance companies.

...model payment flows in insurance companies.

...analyse insurance companies' risk situation.

...apply different models for calculating capital requirements.

...determine which areas of a business have which capital requirements.

...use methods for valuing personal insurance companies and property and casualty in-

surance companies.

...have a thorough knowledge of the fundamentals of asset liability management and

capital management.

...work within the legislative framework for insurance groups.

...assess the group structures found in the insurance industry.

...understand how different types of reinsurance work.

...analyse how risk management instruments are used to meet company objectives.

3 Module Content • Decision models applying to individual economic units

• Modelling of stochastic cash flows in insurance companies

• Corporate and risk management in insurance companies

• Capital stocks of insurance companies

• Development and trends of the insurance industry

• Evaluation of life insurances and non-life insurance Companies

• Organization of insurance holding structures

• Risk management instruments in insurance holdings

• Types of reinsurance

• Financial reinsurance

• Alternative risk transfer



42






tary Section Supply Chain Management Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master of Science Business Administration - Corporate Development: Supplementary



Section Accounting and Taxation Master of Science Business Administration - Marketing: Supplementary Section Market-

ing

9 Module Manager Univ.-Prof. Dr. Heinrich R. Schradin

10 Miscellaneous


43


Module

Code 1259SMFi06

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Empirical Finance

Contact

Hours 60

Self-Studies 120



...are familiar with strategies with which to collect, prepare and evaluate corporate data.

...distinguish between selected econometric methods based on this knowledge.

...interpret analysis strategies in order to evaluate the influence of specific factors on

corporate performance.

...independently produce regression analyses for selected applications (e.g. for testing

capital market models, estimating capital costs and valuing companies) in exercises

and case studies.

...discuss their findings in groups.

3 Module Content • Selected basic and advanced econometric methods, particularly OLS, FGLS, panel

and time series

• Test methods for assessing the quality of estimated and forecast results

• Use of regression models as part of analysis of theoretical models and estima-

tion/forecasting of parameters for issues of relevance in the real world


5 Module Entry Requirements Recommended: Basic knowledge of statistics



8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Business Administration - Supply Chain Management: Supplemen-


Section Corporate Development MSC Mathematik: WiWi MA Mathe/Wirtschaftsmathe


44

Master of Science Information Systems: Supplementary Section Information Systems Master of Education Wirtschaftspädagogik/Lehramt an Berufskollegs: Supplementary




ing

9 Module Manager Univ.-Prof. Dr. Dieter Hess

10 Miscellaneous


45


Module

Code 1259SMFi07

Workload 180

ECTS Credits 6

Module Lan-

guage German

Module


Duration 1 Term

1 Courses Rechnungslegung von Versi-

cherungsunternehmen nach

HGB und IFRS

Contact

Hours 30

Self-Studies 60



...analyse insurance companies’ annual financial statements based on different ac-

counting rules.

...value claims reserves, claims equalization reserves and actuarial reserves.

...explore the impact of different accounting rules on how balance sheet items are val-

ued.

...implement risk-based auditing strategies for insurance companies.

3 Module Content • Accounting systems

• Sources of law

• HGB, IAS/IFRS accounting methods

• Full fair value accounting





8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Supplementary Section Economics Master of Science Business Administration - Supply Chain Management: Supplemen-

tary Section Supply Chain Management Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: BWL MA Reg China Master of Science Business Administration - Media and Technology Management: Sup-

plementary Section Media and Technology Management Master Geographie: BWL Master Geographie Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development


46

MSC Mathematik: WiWi MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Education Wirtschaftspädagogik/Lehramt an Berufskollegs: Supplementary



ing


10 Miscellaneous


47


Module

Code 1259SMFi08

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Asset Management (2. Term)

Contact

Hours 60

Self-Studies 120


2 Learning Objectives The students...



...value stock, bonds and combined stock/bond portfolios.

...calculate the risks involved in stocks and bonds.


management.



learned in class.

3 Module Content • Investment process and fund design

• Trading strategies for funds • Risk factors










48



ing

9 Module Manager Dr. Alexander Pütz Univ.-Prof. Dr. Alexander Kempf







49

Specialisation Module Value-Based Management in Insurance

Module Code 1259SMVB00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term - Fall

Term

Duration 1 Term

1 Courses Value-Based Management in

Insurance - Theory and Prac-

tice

Contact

Hours 60

Self-Studies 120



…learn methods for managing and evaluating insurance companies.

…learn methods of value-based management in insurance companies.

…model cash flows of insurance companies.

…analyze the risk situation of insurance companies.

…assess different methods for calculating the capital requirements.

…assess different methods for risk capital allocation.

…learn fundamentals of asset liability management.

3 Module Content • Introduction in Insurance Management

• Insurance Risk and Production Technology

• Risk Modelling and Risk Measurement

• Risk Management and Shareholder Wealth

• Risk-based Capital Allocation

• Decision-making in a Value-Based Management Framework

• Trends and Challenges in the Insurance Industry




7 Prerequisites for Awarding of Credit Points Passing the written examination.




50

Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master of Science Business Administration - Corporate Development: Supplementary





ing

9 Module Manager Dr. Muhammed Altuntas Univ.-Prof. Dr. Heinrich R. Schradin

10 Miscellaneous


51

Specialisation module Selected Issues in Finance I

Module

Code 1259SMSF01

Workload 360

ECTS Credits 12

Module Lan-

guage German

Module


Term - Spring

Term

Duration 1 Term

1 Courses Management von Leasingge-

sellschaften (1. Term)

Contact

Hours 90

Self-Studies 270



...analyse the theoretical fundamentals of the leasing business.

...recognise the special features of leasing in terms of business administration.

...assess different refinancing possibilities for leasing companies.

...calculate net asset value in order to value leasing portfolios.

...discuss the special features of accounting for leasing contracts.

...apply financial controlling instruments to leasing companies’ return/risk control activi-

ties.

...apply the knowledge they have acquired in a business simulation game.

3 Module Content • Institutional economic analysis of leases

• Financing of leasing companies

• Special features of accounting for leasing contracts • Calculation of net asset value

• (Financial) controlling of leasing companies’ profit and risk situation

• Business simulation game






9 Module Manager Univ.-Prof. Dr. Thomas Hartmann-Wendels


52

10 Miscellaneous To determine whether the learning objectives for this module have been met, the stu-

dents are examined through a combination of a written test, in which they must demon-

strate that they have deepened their knowledge by assessing and applying knowledge,

and a term paper, which requires them to show they have broadened their knowledge

by explaining how various issues are interlinked.

This module consists of at least one course which takes place either until the middle of






53

Specialisation module Selected Issues in Finance II

Module

Code 1259SMSF02

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Duration 1 Term

1 Courses a) Management von Bauspar-

kassen b) Applied Corporate Finance

Theory (2. Term)

Contact

Hours a) 30 b) 30


Course Langugage a) German b) English


...design management strategies for building societies (“Bausparkassen” in Germany).

...explore the banking legislation upon which building savings management is based.

...recognise the principles upon which building savings cooperatives are managed.

...analyse the influence of liquidity, interest margin and risk management on managing

cooperatives.

3 Module Content • Management von Bausparkassen • Wesentliche Inhalte des Bausparkassengesetzes • Grundlagen des Kollektivmanagement und der Kollektivsteuerung • Risikofelder für Bausparkassen • Kollektive und kollektivbedingte Zinsspanne • Kollektive Liquiditätssteuerung, insb. das Management von Trägheitsreserven • die Auswirkungen der Baseler Verordnungen auf Bausparkassen

4 Teaching and Learning Methodsen Research project Exercises Lecture



7 Prerequisites for Awarding of Credit Points Passing the combined examination. Only one course must be attended; the examina-

tion refers to topics of only one course.


9 Module Manager Univ.-Prof. Dr. Thomas Hartmann-Wendels

10 Miscellaneous To determine whether the learning objectives for this module have been met, the stu-


54

dents are examined through a combination of a written test, in which they must demon-

strate that they have deepened their knowledge by assessing and applying knowledge,

and a term paper, which requires them to show they have broadened their knowledge

by explaining how various issues are interlinked. This module consists of at least one

course which takes place either until the middle of the semester (1. term) or from the

middle of the semester (2. term). You can find this information in the field “Courses” of

the module descriptions. In general midterm of the fall semester ends in December and

of the summer semester in May. The appropriate examinations are offered in the middle

of the semester often.


55

Specialisation module: Selected Issues in Finance IV

Module

Code 1259SMSF04

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module

Availability 1-semestrig

Duration 1 Term

1 Courses a) Empirical Corporate Finance

(1. Term) b) Empirical Applications in In-

vestments and Finance (2.

Term)

Contact

Hours a) 0 b) 0



2 Learning Objectives Empirical Corporate Finance:

The students…

...prepare company datasets to analyse specific corporate finance related questions

and analyse these datasets.

…become familiar with selected econometric methods typically applied in finance and

discuss conditions that are necessary in order to use these methods and to resolve pos-

sible issues.

…discuss their insights from these analyses within groups.

Empirical Applications in Investments and Finance:

...understand how statistical methods in finance (investments and asset pricing, corpo-

rate finance, market microstructure) are applied by practitioners and scholars and com-

prehend their economic and theoretical background

…acquire practical experience with data relating to capital markets and corporations

and retrieve the data and analyze it with software

… apply econometric methods in order to identify causal relations in economic data

…discuss empirical/econometric methods, including their advantages and disad-

vantages, and carefully interpret empirical results taking endogeneity concerns into ac-

count.

3 Module Content Empirical Corporate Finance:

• Selected econometric techniques, e.g., rolling regressions, panel estimators and time-

series models.

• Tests to examine the quality of estimations and forecasts.

• Applications of econometric methods to practical issues.


5 Module Entry Requirements Recommended for Empirical Corporate Finance: Basic knowledge of SAS (Specialisa-

tion Module Finance 6) ; Recommended for Empirical Applications in Investments and

Finance: Basic knowledge in capital market theory and econometrics


56


7 Prerequisites for Awarding of Credit Points Passing the written test for exactly one of the listed courses (student's free selection).

8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance Master of Science International Management: Core and Advanced Section International


ing Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development Master of Science Business Administration - Accounting and Taxation: Supplementary










57

Schwerpunktmodul Research in Finance 1 (Research Track)

Module Code 1259SMRF01

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Empirical Research in Finance

Contact

Hours 60

Self-Studies 120



...discuss current questions in empirical capital market research.

...replicate pivotal studies in this area, e.g. papers on business valuation.

...critically assess the results of past studies.

...independently develop further contributions to research.

...use key WRDS research databases, particularly IBES, CRSP and COMPUSTAT.

...analyse the quality of such databases.

... perform statistical/econometric evaluation.

3 Module Content • Pivotal works in empirical capital market research

• Data processing tools

• Application of statistical & econometric methods


5 Module Entry Requirements Recommended: Extensive knowledge of finance and statistics. It is recommended that

students have accumulated at least 42 ECTS credits in the core and advanced section

and/or specialisation section with a minimum average mark of 2,0.




tary Section Supply Chain Management Master of Science Business Administration - Media and Technology Management: Sup-

plementary Section Media and Technology Management Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Science Business Administration - Accounting and Taxation: Supplementary


58


ing


10 Miscellaneous


59

Specialisation Module Research in Finance 2 (Research Track)


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term - Spring

Term

Duration 1 Term

1 Courses Empirical Research in Asset

Management

Contact

Hours 30

Self-Studies 150



...develop their own research ideas, especially in the area of asset management.

...devise methods for conducting their own research projects.

...formulate their own papers.


3 Module Content • Current issues in capital market research, focusing on asset management.

• Critical assessment of pivotal studies in this area.

• Guidance on independent research.

4 Teaching and Learning Methodsen Research project Seminar

5 Module Entry Requirements Advanced knowledge in statistics and finance.Previously to enrolling, students are rec-

ommended to have completed 42 Credit Points in Core and/or Supplementary Modules

with an average grade of at least 2.0.







Section Accounting and Taxation


60

Master of Science Business Administration - Marketing: Supplementary Section Market-

ing


10 Miscellaneous


61

Specialisation Module Advanced Seminar Finance I

Module

Code 1259SMAF01

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Term - Fall

Term

Duration 1 Term

1 Courses Seminar Financial Institutions

Contact

Hours 30

Self-Studies 150

Course Langugage German and English


...conduct independent literature and web research and evaluate their findings.

...independently familiarise themselves with the chosen subject area.

...independently analyse a research question.

...write a term paper on the chosen subject.

...are proficient in academic work methods.

...give a 60-minute presentation on their own or as part of a group.

...are proficient in presentation techniques.

...discuss the other participants’ findings in joint presentations.

3 Module Content Varying subject matter concerning financial institutions


5 Module Entry Requirements Recommended: Core Module Financial Theory and Core Module Financial Institutions

Man-agement




9 Module Manager Univ.-Prof. Dr. Thomas Hartmann-Wendels Univ.-Prof. Dr. Heinrich R. Schradin

10 Miscellaneous


62

Specialisation Module Advanced Seminar Finance II

Module

Code 1259SMAF02

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Term - Spring

Term

Duration 1 Term

1 Courses Seminar Capital Markets & Cor-

porate Finance

Contact

Hours 30

Self-Studies 150



...independently define a chosen, comprehensive problem.

...to that end, independently evaluate literature and web sources and select suitable

ones.

...devise a solution to the problem as part of a written term paper.

...present their term paper in a 60-minute presentation by themselves or as part of a

group.

...discuss the other participants’ findings in joint presentations.

…engage in academic discourse.

3 Module Content Current theoretical and empirical questions concerning capital markets, asset manage-

ment and corporate finance.


5 Module Entry Requirements Recommended: Successful completion of the core courses in Finance




9 Module Manager Univ.-Prof. Dr. Dieter Hess Univ.-Prof. Dr. Alexander Kempf Dr. Alexander Pütz

10 Miscellaneous


63

3.5.3 Supplementary Section

Specialisation Module Corporate Taxation

Module

Code 1016SbeUn0

Workload 360

ECTS Credits 12

Module Lan-

guage German

Module


Duration 2 Terms

1 Courses a) Corporate Taxation I (WiSe) b) Corporate Taxation II (SoSe)

Contact

Hours a) 45 b) 45




...are familiar with problems and methods in business taxation.

...understand how taxes influence choice of legal structure.

...gain an insight into taxation of transnational business operations.

...understand how taxes influence national and transnational decisions for companies.

...apply the expertise they have acquired to specific case studies.

3 Module Content • Significance of taxation in terms of business administration

• Taxation of partnerships and corporations

• Choice of legal structure based on current national and transnational taxation practice

• Optimisation of legal structure; special legal structures

• Taxation of transnational business operations and international tax planning

• Problem of double taxation and dealing with measures designed to prevent tax arbi-

trage

• Tax planning for corporate restructuring and takeovers

• German Reorganisation Tax Act

• Exercises to deepen knowledge of subject matter covered in class


5 Module Entry Requirements Recommended: Basic knowledge of tax law.




8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Supplementary Section Economics


64

Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: BWL MA Reg China Master of Science Business Administration - Media and Technology Management: Sup-



Section Wirtschaftspädagogik Master of Science Business Administration - Accounting and Taxation: Specialisation

Section Accounting and Taxation Master of Science Business Administration - Accounting and Taxation: Supplementary


ing

9 Module Manager Univ.-Prof. Dr. Michael Overesch

10 Miscellaneous The module can be started in the spring term, as well. However, a start in the fall term is

advised.


65

Specialisation Module Operative and Strategic Controlling

Module Code 1016SOSCo0

Workload 360

ECTS Credits 12

Module Lan-

guage English

Module


Duration 1 Term

1 Courses a) Operative Controlling (1.

Term) b) Strategic Controlling (2.

Term)

Contact

Hours a) 60 b) 60




...identify the main controlling strategies.

...learn about different types of interdependency and assess analytical and heuristic

methods with which to coordinate said interdependencies.

...deepen their knowledge of different “conventional” cost accounting techniques (in-

cluding actual and standard costing, full-cost accounting and variable costing).

...learn methods for conducting cost variance analyses.

...understand the Peinreich-Lücke theorem and the relationship between investment ap-

praisal and cost accounting.

...use linear programming for production planning and dynamic programming for meas-

uring inter-temporal interdependencies.

...examine the benefit of additional information under uncertainty using the concept of

“infor-mation value”.

...analyse the principal-agency theory and use controlling instruments to help solve any

incentive problems that arise.

...learn the main controlling strategies for solving coordination problems.

...compare the pros and cons of proactive cost management and early cost budgeting.

...examine the more recent instruments of cost management (including lifecycle, target

and activi-ty-based costing).

...discuss the basics of benchmarking.

...conduct case studies using the skills they have acquired.

3 Module Content Operative controlling:

• Fundamentals of controlling

• Theory, strategies and methods to support controlling activities

• Controlling instruments

Strategic controlling:

• Introduction to strategic controlling

• Conventional cost management instruments

• More recent cost management instruments • Benchmarking



66

5 Module Entry Requirements Recommended: Basic knowledge of internal and external accounting, investment, fi-

nancing and decision theory.




8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Supplementary Section Economics Master of Science Business Administration - Supply Chain Management: Supplemen-

tary Section Supply Chain Management Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master of Science Gesundheitsökonomie: Supplementary Section Gesund-

heitsökonomie Master Regionalwissenschaften China: BWL MA Reg China Master of Science Business Administration - Media and Technology Management: Sup-







ing

9 Module Manager Univ.-Prof. Dr. Carsten Homburg

10 Miscellaneous Required reading will be announced at the beginning of the respective term. This mod-

ule consists of at least one course which takes place either until the middle of the se-

mester (1. term) or from the middle of the semester (2. term). You can find this infor-

mation in the field “Courses” of the module descriptions. In general midterm of the fall




67

Specialisation Module International Accounting and Corporate Valuation

Module

Code 1016SIRUb0

Workload 360

ECTS Credits 12

Module Lan-

guage German and

English

Module


Duration 2 Terms

1 Courses a) International Accounting b) Corporate Valuation

Contact

Hours a) 60 b) 60




...gain confidence in balance sheet preparation using international accounting standards

[IFRS].

...acquire expertise on how to interpret standards in line with the system being used.

...apply to real-life cases what they have learned about accounting rules.

...apply business valuation approaches when preparing IFRS balance sheets.

...acquire expertise on how to differentiate between different reasons for and purposes

and doctri-nal concepts of business valuation.

...apply the basic rules of investment valuation theory to business valuation problems.

...produce cash flow forecasts.

...acquire expertise on how to use the different variants of the DCF method and other

modern valuation methods based on the aims being pursued.

3 Module Content International accounting:

• Doctrinal and conceptual principles of IFRS

• IASB framework

• Rules for recognising assets and liabilities

• measurement rules

• Special problems in IFRS separate and consolidated financial statements

Business valuation:

• Reasons, purposes, history of doctrines

• Equivalence principles

• Forecasting rules and instruments

• Risk/benefit approach to business valuation

• Capital market oriented valuation methods





68



8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Supplementary Section Economics Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: BWL MA Reg China Master of Science Business Administration - Media and Technology Management: Sup-






ing

9 Module Manager Univ.-Prof. Dr. Christoph Kuhner

10 Miscellaneous An exam is offered in every semester.


69

Specilisation Module Selected Issues in Business Taxation I

Module Code 1016SMSB01

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses a) Tax Accounting b) Financial Service and Real

Estate Taxation (1. Term) c) Taxation of Family Business

Contact

Hours a) 30 b) 30 c) 30

Self-Studies a) 60 b) 60 c) 60

Course Langugage a) English b) English c) German


...acquire methodological competence in the area of tax law.

...acquire subject expertise to deepen their understanding of tax law.

...learn how to solve new cases using the subject expertise and methodological compe-

tence they have acquired.

3 Module Content

4 Teaching and Learning Methodsen Lecture

5 Module Entry Requirements Recommended: Basic knowledge of business taxation


7 Prerequisites for Awarding of Credit Points Passing the written test. Two courses must be attendet; the examination refers to topics

of two courses.

8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Business Administration - Media and Technology Management: Sup-


Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Education Wirtschaftspädagogik/Lehramt an Berufskollegs: Supplementary





ing


70








71

Specilisation Module Selected Issues in Business Taxation II

Module Code 1016SMSB02

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Duration 1 Term

1 Courses a) International Tax Planning

(1. Term) b) Taxation of Corporate

Groups

Contact

Hours a) 30 b) 30


Course Langugage a) English b) German


...gain methodological competence in tax law.

...acquire a deeper understanding of tax law.

...learn how to solve new cases using the knowledge they have acquired.

3 Module Content Selected Issues in Business Taxation


5 Module Entry Requirements Recommended: Basic knowledge of corporate taxation

6 Mode of End-of-Module Examination Combined examination: WT (30), OE (30)

7 Prerequisites for Awarding of Credit Points Passing the combined examination. Both courses must be attended; the examiniation

refers to topics of both courses.

8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Supplementary Section Economics Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: BWL MA Reg China Master of Science Business Administration - Media and Technology Management: Sup-







72


ing








73

Specialisation module Value-based Controlling

Module

Code 1016SVbCo0

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Value-based Controlling

Contact

Hours 60

Self-Studies 120



...identify the disadvantages of traditional financial indicators.

...assess capital market characteristics and their implications in terms of valuation.

...apply investment calculuses to business valuations.

...distinguish between valuation techniques, especially with regard to the underlying as-

sumptions.

...draw up estimates for forecasting cash flow and profit and determining cost of capital.

...examine published financial statement data and adapt to economic standards.

...determine business value based on multiplier, DCF and EVA methods.

3 Module Content • Basics of value-based controlling (including traditional financial indicators)

• Characteristics of capital markets

• Effect of capital structure on business value •Shareholder value approach

• Discounted cash flow (DCF) method

• Value-based indicators

• Implementation of a value-based strategy

• The Ohlson model


5 Module Entry Requirements Recommended: Basic knowledge of "Kosten- und Leistungsrechung", "Bilanz- und Er-

folgsrechnung", "Investition und Finanzierung", as well as " Entscheidungstheorie" from

the bachelor studies should be present.






74

Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master of Science Gesundheitsökonomie: Supplementary Section Gesund-

heitsökonomie Master Regionalwissenschaften China: BWL MA Reg China Master of Science Business Administration - Media and Technology Management: Sup-






Management Master of Science Business Administration - Marketing: Specialisation Section Market-

ing Master of Science Business Administration - Marketing: Supplementary Section Market-

ing

9 Module Manager Univ.-Prof. Dr. Carsten Homburg

10 Miscellaneous Required reading will be announced at the beginning of the respective term.


75

Specialisation Module Selected Issues in Accounting and Auditing Issues I

Module Code 1016SAFRW0

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module

Availability Every Sec-

ond Term -

Fall Term

Duration 1 Term

1 Courses a) Unternehmenspublizität und

Bilanzanalyse b) Konzernbilanzen (1. Term)

Contact

Hours a) 30 b) 30




...acquire expertise on how to assess the legal and strategic aspects of modern capital

market communication.

...acquire experise on how to assess the motives behind accounting policies and to an-

alyse the instruments used in accounting policies.

...assess from various perspectives the usefulness of accounting data as a decision-

making aid.

...acquire expertise on how to use business valuation methods when analysing annual

financial statements, based on the aims being pursued.

...gain confidence in group accounting using national and international standards.

...analyse real-life accounting problems.

3 Module Content • Regulation of capital market information

• Value relevance studies

• Company rating techniques

• KPI-based analysis

• Special problems in group accounting






8 Other Programmes that use the Module Master of Science Economics: Supplementary Section Economics Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: BWL MA Reg China Master of Science Business Administration - Media and Technology Management:


76

Supplementary Section Media and Technology Management Master Geographie: BWL Master Geographie Master of Science Business Administration - Corporate Development: Supplementary




Section Accounting and Taxation Master of Science Business Administration - Marketing: Supplementary Section Mar-

keting Master of Science Business Administration - Finance: Supplementary Section Finance

9 Module Manager Univ.-Prof. Dr. Christoph Kuhner

10 Miscellaneous


77

Schwerpunktmodul Research in Finance 1 (Research Track)


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Empirical Research in Finance

Contact

Hours 60

Self-Studies 120



...discuss current questions in empirical capital market research.

...replicate pivotal studies in this area, e.g. papers on business valuation.

...critically assess the results of past studies.

...independently develop further contributions to research.

...to that end acquire methods

…for making efficient use of key WRDS research databases, particularly IBES, CRSP

and COMPUSTAT.

...for analysing the quality of such databases.

...for performing statistical/econometric evaluation.

3 Module Content • Pivotal works in empirical capital market research

• Data processing tools

• Application of statistical & econometric methods


5 Module Entry Requirements Recommended: Extensive knowledge of finance and statistics. It is recommended that

students have accumulated at least 42 ECTS credits in the core and advanced section

and/or specialisation section with a minimum average mark of 2,0.








78

Master of Science Information Systems: Supplementary Section Information Systems Master of Science Business Administration - Accounting and Taxation: Supplementary


ing


10 Miscellaneous


79

Specialisation Module Research in Finance 2 (Research Track)


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term - Spring

Term

Duration 1 Term

1 Courses Empirical Research in Asset

Management

Contact

Hours 30

Self-Studies 150



...develop their own research ideas, especially in the area of asset management.

...devise methods for conducting their own research projects.

...formulate their own papers.


3 Module Content • Current issues in capital market research, focusing on asset management.

• Critical assessment of pivotal studies in this area.

• Guidance on independent research.

4 Teaching and Learning Methodsen Research project Seminar

5 Module Entry Requirements Advanced knowledge in statistics and finance.Previously to enrolling, students are rec-

ommended to have completed 42 Credit Points in Core and/or Supplementary Modules

with an average grade of at least 2.0.









80


ing


10 Miscellaneous


81

Specialisation Module Research on Organizations and Innovation (Research Track)

Module Code 1253SMRO00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module

Availability Every Fourth

Term

Duration 1 Term

1 Courses Empirical and theoretical re-

search on organization and in-

novation

Contact

Hours 30

Self-Studies 150



…discuss papers to understand, compare and critically evaluate theories and methodo-

logical approaches in management, organization, and innovation.develop research

ideas, with a focus on various topics in contemporary research in the above fields.are

prepared for conducting their own research projects.

3 Module Content • Current issues in management, organization and/or innovation research, with a focus

on pertinent theory and empirical research

• Critical assessment of central research papers

• Guidance to independent research


5 Module Entry Requirements recommended: Advanced knowledge in statistics and management, organization and

innovation. Prior to enrolling, students are recommended to have completed 18 credit

points in methodological foundations, 33 credit points in basic or advanced modules of

the major, including the seminar.



8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Business Administration - Supply Chain Management: Supplemen-





keting


82

9 Module Manager Univ.-Prof. Dr. Mark Ebers

10 Miscellaneous


83

Specialisation Module Research in Personnel Economics: Incentives and Behaviour (Research

Track)

Module Code 1253SMRP00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term - Spring

Term

Duration 1 Term

1 Courses The Economics of Incentives in

Organisations (1. Term)

Contact

Hours 60

Self-Studies 120


2 Learning Objectives The students…

...analyse formal economic models concerning the impact of incentives.

...discuss and compare current behavioural economics theories.

...perform economic model forecasts using game theory strategies.

...assess theoretical concepts based on empirical evidence.

...identify key statements in scientific articles and interpret the results independently.

3 Module Content • Principal/agent models

• Management pay

• Social preferences and reference points • Incentives in teams

• Incentives in multitasking

• Contests and promotions • Intrinsic motivation


5 Module Entry Requirements Recommended: Knowledge of game theory and applied econometrics It is recom-

mended that students have gained a minimum of 42 ECTS credits in the core and ad-

vanced section and/or the specialisation section, with a minimum average mark of 2.0.





plementary Section Media and Technology Management Master of Science Business Administration - Corporate Development: Specialisation



84





ing

9 Module Manager Univ.-Prof. Dr. Dirk Sliwka


the semester (1. term) or from the middle of the semester (2. term). You can find this

information in the field “Courses” of the module descriptions. In general midterm of the

fall semester ends in December and of the summer semester in May. The appropriate

examinations are offered in the middle of the semester often.


85

Specialisation Module Research in Supply Chain Management (Research Track)

Module Code 1271SMRS00

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Term

Duration 1 Term

1 Courses Research in Supply Chain Man-

agement

Contact

Hours 60

Self-Studies 120



...deepen their knowledge in the field of supply chain management

...evolve existing supply chain methods and models further

...apply new methods to different situations

3 Module Content • Complex decision-making models

• Limitations of existing models

• Enhancement and modification of models


5 Module Entry Requirements Recommended: At least 42 ECTS in the core and advanced/specialisation categories,

with a minimum average mark of 2,0.

6 Mode of End-of-Module Examination Written test: PO


8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Business Administration - Supply Chain Management: Specialisation

Section Supply Chain Management Master of Science Business Administration - Supply Chain Management: Supplemen-





ing


86

9 Module Manager Area Supply Chain Management

10 Miscellaneous


87

Specialisation Module Research in Marketing (Research Track)

Module Code 1266SMRM00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term - Spring

Term

Duration 1 Term

1 Courses Research in Marketing

Contact

Hours 30

Self-Studies 150


2 Learning Objectives Students...d

…iscuss papers to understand theories and methodological approaches in marketing

and consumer behavior.develop research ideas, with a focus on various topics in con-

temporary marketing research.are prepared for conducting their own research pro-

jects.learn to write papers on their own.

3 Module Content • Current issues in marketing research, with a focus on theory development and empir-

ical research.

• Critical assessment of central research papers.

• Guidance to independent research.


5 Module Entry Requirements It is recommended that students have accumulated at least 42 ECTS credits in the core

and advanced section and/or the specialisation section with a minimum average mark

of 2,0.

6 Mode of End-of-Module Examination Combined examination: PRES, PR




Supplementary Section Media and Technology Management Master of Science Business Administration - Corporate Development: Supplementary



keting


88

Master of Science Business Administration - Marketing: Specialisation Section Market-

ing

9 Module Manager Area Marketing

10 Miscellaneous


89

Core Module Econometrics (Research Track)

Module Code 1314BMER00

Workload 360

ECTS Credits 12

Module Lan-

guage English

Module


Term - Fall

Term

Duration 1 Term

1 Courses a) Advanced Econometrics

(Theory) b) Advanced Econometrics (Ap-

plications)

Contact

Hours a) 60 b) 60




…gain skills to implement estimation methods and testing procedureslearn to discuss

finite-sample and asymptotic properties of estimation and testing procedureslearn to

apply appropriate econometric models and inference strategies given the type of data

and the economic question to be analyzedlearn to conduct advanced empirical studies

in modern macro- or mircroeconometrics

3 Module Content Theory:

• The classical linear model

• Tests in the classical linear model

• Generalized linear model – Asymptotics

• Maximum Likelihood

• Instrumental variables / GMM

• Structural breaks

• Unit roots and cointegration

Applications:

• Evaluation of causal effects

• Fixed effects and difference-in-difference estimators

• Regression discontinuity designs

• Robust standard errors and clustering

• Structural estimation with experimental data



6 Mode of End-of-Module Examination Written test: TP Written examination: WT (90)


90

7 Prerequisites for Awarding of Credit Points Exams in both courses have to be passed.

8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Core and Advanced Section Economics Master of Science Business Administration - Supply Chain Management: Supplemen-

tary Section Supply Chain Management Master Wirtschaftsmathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Business Administration - Media and Technology Management: Sup-


Section Corporate Development MSC Mathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Science Business Administration - Accounting and Taxation: Supplementary


ing

9 Module Manager Univ.-Prof. Dr. Dominik Wied

10 Miscellaneous This course will provide an up-to-date presentation of econometric tools for the analysis

of cross-sectional data, time series data and panel data at a graduate level.


91

Core Module Microeconomics I (Research Track)

Module Code 1289BMMR00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Core Microeconomics (Re-

search Track)

Contact

Hours 60

Self-Studies 120



…understand modern microeconomic concepts.

…master key techniques of microeconomic analysis such as the analysis of individual

choice.

…use mathematical models to analyze price formation in markets.

…modify models to recognize limitations and to analyze the effects of political instru-

ments

3 Module Content • Theory of household behavior and demand

• Theory of firm behavior and supply • Market equilibrium


5 Module Entry Requirements Recommended: A solid foundation in microeconomics and mathematics.




tary Section Supply Chain Management Master Wirtschaftsmathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Business Administration - Media and Technology Management:




keting


92

9 Module Manager Univ.-Prof. Dr. Johannes Münster

10 Miscellaneous


93

Core Module Microeconomics II (Research Track)


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Advanced Microeconomics II

Contact

Hours 60

Self-Studies 120



...acquire methodological knowledge and work with the core methods of modern game

theory.

…get a profound understanding of the methods of and discuss recent developments in

game theory.

3 Module Content • Static games with complete information: Mixed strategies, Nash equilibrium

• Dynamic games with complete information: Subgame-perfect Nash equilibrium, sin-

gle-deviation principle, negotiations, forward induction

• Static games with incomplete information: Bayesian Nash equilibrium, auctions

• Dynamic games with incomplete information: Perfect Bayesian Nash equilibrium and

refinements, signaling games

• Recent developments in game theory










94


keting

9 Module Manager Univ.-Prof. Dr. Carlos Alós-Ferrer

10 Miscellaneous


95

Core Module Macroeconomics I (Research Track)


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Advanced Macroeconomics I

(Research Track)

Contact

Hours 60

Self-Studies 120



…analyse at an advanced methodological level the modern models of real dynamic

macroeconomics that have long-term prospects and apply the mathematical models

necessary to do so.

...learn how to accumulate methodological knowledge and work with methods used in

real dynamic macroeconomics.

...acquire the foundations required for research activities and further studies (doctor-

ate).

3 Module Content • Empirical facts • Basic methods (incl. intertemporal optimisation in continuous time

and linear approximation)

• The neoclassical growth model (Solow)

• The neoclassical models (Ramsey - Cass - Koopmans, Dia mond): incl. inter-

temporal market equilibrium; social optimum; state.

• Endogenous growth and human capital (incl. Uzawa - Lucas)

• Endogenous growth and research and development (incl. Romer, Aghion - Howitt,

Jones)









96



keting

9 Module Manager Univ.-Prof. Dr. Peter Funk

10 Miscellaneous


97

Core Module Macroeconomics II (Research Track)


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Macroeconomics II (Research

Track)

Contact

Hours 60

Self-Studies 120



...construct, solve and evaluate models that can be used to answer positive and norma-

tive macroeconomic questions, particularly with regard to fluctuations in the economy.

The methodical focus is designed to enable the students to acquire a comprehensive

understanding of current research and to conduct their own, high-standard research.

...learn methods for solving dynamic decision-making problems under uncertainty de-

fine and characterise market equilibriums under uncertainty and use empirical and nu-

merical methods for quantitative evaluations and forecasts. They apply these methodo-

logical skills, which are also in widespread use outside of macroeconomics, to ques-

tions of business cycle theory. They thereby consolidate their theoretical and empirical

knowledge of short-term and medium-term macroeco-nomic processes. They also find

out about the most important lines of research currently being undertaken in this field.

3 Module Content • Dynamic optimisation under uncertainty, recursive methods

• Calibration and introduction to structural estimation of model parameters

• Numerical solution, simulation and evaluation of structural models

• Vector autoregressions

• Real business cycle theory

• Consumption-based asset pricing

• Overview of the significance of frictions on labour and credit markets, price rigidities

• Introduction to the analysis of fiscal and monetary policy measures.


5 Module Entry Requirements Recommended: Core Module Mathematics, Core Module Microeconomics I, Core Mod-

ule Mac-roeconomics I, Core Module Econometrics



8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Core and Advanced Section Economics


98

Master of Science Business Administration - Supply Chain Management: Supplemen-





keting

9 Module Manager CMR Center for Macroeconomic Research

10 Miscellaneous


99

Core Module Mathematics / Methods (Research Track)


Workload 360

ECTS Credits 12

Module Lan-

guage English

Module


Duration 2 Terms

1 Courses a) Block I: Advanced Mathe-

matics for Economists (WiSe) b) Block II: Experimental Meth-

ods (Research Track/SoSe) c) Block II: Computational

Methods (Research

Track/SoSe)

Contact

Hours a) 60 b) 60 c) 60

Self-Studies a) 120 b) 120 c) 120

Course Langugage a) English b) English c) English


...can apply mathematical argumentation and proof techniques properly.

...are able to mathematically formulate and solve economic problems that occur during

research.

...can apply numerical methods and programs to solve and simulate quantitative struc-

tural eco-nomic models (Computational Methods)/are introduced to different methods

and applications of experimental economic research, apply and assess the methods

and interpret experimental data (Experimental Methods).

...can adapt the terminology of the field to the target audience.

3 Module Content Advanced Mathematics for Economists (fall term):

• Overview of elementary mathematical concepts

• Metric and normed spaces

• Linear algebra

• Differential calculus and applications

• Convex sets and concave functions

• Optimisation

Experimental Methods (spring term):

• experimental methods used in economic research

• experimental design

• performance of economic experiments

• evaluation of the data from economic experiments.

Computational Methods (spring term):

• Programming of numerical algorithms

• Numerical approximation

• Numerical solution of root and optimisation problems

• Application to canonical economic problems

• Parameterisation, solution and simulation of structural economic models


100



6 Mode of End-of-Module Examination Written examination: WT (60) Written examination: WT (90)

7 Prerequisites for Awarding of Credit Points 1.) Passing the written test for course a). 2.) Passing the written test for either course b)

or c). The examination components contribute equally to the end-of-module mark.






keting

9 Module Manager Univ.-Prof. Dr. Bettina Rockenbach Jun.-Prof. Dr. Martin Scheffel Univ.-Prof. Dr. Martin Barbie

10 Miscellaneous Literature Experimental Methods: Friedman and Sunder, Experimental Methods: A Pri-

mer for Economists, Cambridge University Press (1994)


101

Core Module Microeconomics I

Module

Code 1289BMMi01

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Microeconomics I: Demand,

Supply, Equilibria

Contact

Hours 60

Self-Studies 120



...are familiar with the fundamental definitions and concepts in microeconomics.

...identify how demand, supply and pricing work on perfect competition markets.

...solve microeconomic problems. ...analyse microeconomic models.

3 Module Content • Budget theory

• Company theory

• Competitive market theory

• General equilibrium theory

• Welfare economics






tary Section Supply Chain Management Master Wirtschaftsmathematik: VWL MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: VWL MA Reg China Master of Science Business Administration - Media and Technology Management: Sup-

plementary Section Media and Technology Management Master Geographie: VWL Master Geographie Master Regionalwissenschaften Osteuropa: VWL MA Reg Osteuropa Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development MSC Mathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft


102

Master of Science International Management: Supplementary Section International

Management Master Regionalwissenschaften Lateinamerika: VWL MA Reg Lateinamerika

9 Module Manager Univ.-Prof. Dr. Marc Oliver Bettzüge

10 Miscellaneous


103

Core Module Microeconomics II

Module

Code 1289BMMi02

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term - Spring

Term

Duration 1 Term


Contact

Hours 60

Self-Studies 120



…get a profound understanding of game theory.

…get familiar with the applications of game theory in political and social sciences.

…understand the connection between experimental and behavioral economics.








• Introduction to social choice theory and elections • Condorcet’s paradox, Arrow’s the-

orem





8 Other Programmes that use the Module


10 Miscellaneous


104

Specialisation Module Economic Engineering

Module Code 1289SMEE00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term

Duration 1 Term

1 Courses Economic Engineering

Contact

Hours 60

Self-Studies 120



...learn how to apply their theoretical and empirical skills to real markets.

...learn methods for identifying problems in markets and developing and discussing pos-

sible solutions.

...read current literature and present their own ideas and are thus introduced to new re-

search questions and encouraged to develop their own ideas for research.

3 Module Content • Evaluation of the roles of theory and laboratory/field experiments in the development

of mar-kets and incentive systems

• Analysis of relevant behavioural phenomena and institutional details of particular im-

portance for specific designs

• Discussion of practical applications of economic engineering in matching markets,

auctions and other markets



6 Mode of End-of-Module Examination Written test: TP


8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Specialisation Section Economics Master of Science Business Administration - Supply Chain Management: Supplemen-

tary Section Supply Chain Management Master of Science Business Administration - Media and Technology Management: Spe-

cialisation Section Media and Technology Management Master of Science Business Administration - Media and Technology Management: Sup-


Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems


105

Master of Science Sociology and Social Research: Supplementary Section Sociology

and Social Research Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft

9 Module Manager Univ.-Prof. Dr. Axel Ockenfels

10 Miscellaneous


106

Specialisation Module Auction Theory

Module

Code 1289SMAT00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Auction Theory

Contact

Hours 60

Self-Studies 120



…get a profound understanding of the economic theory of auction design.

3 Module Content • Private Value Auctions: Second-Price Auctions, First-Price Auctions, Reserve Prices,

Revenue Equivalence Theorem, Extensions

• Mechanism Design: Revelation Principle, Optimal Mechanisms, Efficient Mechanisms

• Auctions with Interdependent Values: Revenue Comparisons, Linkage Principle


5 Module Entry Requirements None


7 Prerequisites for Awarding of Credit Points






9 Module Manager Univ.-Prof. Achim Wambach, Ph.D.

10 Miscellaneous


107


108

Specialisation Module Contract Theory

Module

Code 1289SMVe00

Workload 180

ECTS Credits 6

Module Lan-

guage German

Module


Duration 1 Term

1 Courses Vertragstheorie

Contact

Hours 60

Self-Studies 120


2 Learning objectives

Students...

...recognise the concepts of information economics.

...describe and model situations with information asymmetries between several parties.

...analyse and discuss causal relationships in contract theory.

...apply methods for solving contract theory problems.

3 Module content

• Principal/agent models

• Mechanism design

• Hold-up problem

• Incomplete contracts





Passing the written test.






9 Module Manager Univ.-Prof. Dr. Patrick W. Schmitz


109

10 Miscellaneous


110

Specialisation Module Behavioral Economics

Module Code 1289SMBE00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Behavioral Economics

Contact

Hours 60

Self-Studies 120


2 Learning Objectives Students…

…understand behavioral models and formal argumentsapply concepts of microeco-

nimicscritically scrutinize.

3 Module Content Theories of boundedly rational behavior describe economic behavior that deviates from

the assumptions of homo economicus. These theories build upon robust insights gained

in empirical investigations, often economic experiments. The lecture introduces the the-

ories of boundedly rational behavior, discusses their origins and their applications.


5 Module Entry Requirements







and Social Research Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science International Management: Supplementary Section International

Management



111

10 Miscellaneous


112

Core Module Experimental Methods

Module Code 1289BMEM00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Experimental Methods

Contact

Hours 60

Self-Studies 120



...are introduced to different experimental economic research methods and applica-

tions.

...discuss the advantages and disadvantages of specific experiment design elements.

...assess different methods for evaluating data from economic experiments.

3 Module Content The course discusses the methodology of experimental economics, covering ques-

tionsf experimental design, experimental implementation and evaluation of economic

experiments.






nance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Business Administration - Supply Chain Management: Core and Ad-

vanced Section Supply Chain Management Master of Science Business Administration - Supply Chain Management: Supplemen-


Core and Advanced Section Media and Technology Management Master of Science Business Administration - Media and Technology Management: Sup-





113



Marketing


10 Miscellaneous Recommended reading: Friedman and Sunder, Experimental Methods: A Primer for

Economists, Cambridge University Press (1994)


114

Schwerpunktmodul Matching and Market Design: Theory and Practice

Module Code 1289SMMD00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Matching and Market Design:

Theory and Practice

Contact

Hours 60

Self-Studies 120



…learn about leading theoretical models of matching markets

...learn how a mixture of theory, experiments, and empirics can be used to analyze ex-

isting matching mechanisms and, if necessary, design better ones

3 Module Content • One - sided matching: House allocation and organ exchange

• Two - sided matching: Entry - level labor markets

• School choice and random assignment

• Matching with contracts: Distributional const raints and internet - ad auctions

• Large matching ma rkets

• Combinatorial assignment and course allocation








Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science Sociology and Social Research: Supplementary Section Sociology

and Social Research


115

9 Module Manager Univ.-Prof. Dr. Alexander Westkamp

10 Miscellaneous


116


Module

Code 1259SMFi04

Workload 180

ECTS Credits 6

Module Lan-

guage German

Module


Duration 1 Term

1 Courses Praxisorientierte Banksteue-

rung (1. Term)

Contact

Hours 60

Self-Studies 120



…can analyse profitability using various measuring strategies.

…understand different credit rating methods.

…are familiar with various rating and scoring models.

…can determine loan terms that are commensurate with the risk involved.

…can apply planning methods to liquidity management.

...can determine prices for lending and deposit products.

...can calculate the profit contributions from different sources of income.

...understand how banks are managed on the basis of the market interest rate method.

3 Module Content • Profitability analysis in banks

• Risk-based capital allocation

• Rating/scoring models

• IRBA and pool rating systems

• Credit pricing

• Funds transfer pricing models

• Maturity transformation risks

• Cash flow modelling

• Risk management reporting

• Business performance planning





8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Business Administration - Corporate Development: Supplementary


117

Section Corporate Development Master of Science Business Administration - Marketing: Supplementary Section Market-

ing Master of Science Business Administration - Accounting and Taxation: Supplementary










118


Module

Code 1259SMFi06

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Empirical Finance

Contact

Hours 60

Self-Studies 120



...are familiar with strategies with which to collect, prepare and evaluate corporate data.

...can distinguish between selected econometric methods based on this knowledge.

...interpret analysis strategies in order to evaluate the influence of specific factors on

corporate performance.

...independently produce regression analyses for selected applications (e.g. for testing

capital market models, estimating capital costs and valuing companies) in exercises

and case stud-ies.

...discuss their findings in groups.

3 Module Content • Selected basic and advanced econometric methods, particularly OLS, FGLS, panel

and time series

• Test methods for assessing the quality of estimated and forecast results

• Use of regression models as part of analysis of theoretical models and estima-

tion/forecasting of parameters for issues of relevance in the real world


5 Module Entry Requirements Recommended: Basic knowledge of statistics





Section Corporate Development MSC Mathematik: WiWi MA Mathe/Wirtschaftsmathe


119

Master of Science Information Systems: Supplementary Section Information Systems Master of Education Wirtschaftspädagogik/Lehramt an Berufskollegs: Supplementary




ing


10 Miscellaneous


120


Module

Code 1259SMFi07

Workload 180

ECTS Credits 6

Module Lan-

guage German

Module


Duration 1 Term

1 Courses Rechnungslegung von Versi-

cherungsunternehmen nach

HGB und IFRS

Contact

Hours 30

Self-Studies 60



...analyse insurance companies’ annual financial statements based on different ac-

counting rules.

...value claims reserves, claims equalization reserves and actuarial reserves.

...explore the impact of different accounting rules on how balance sheet items are val-

ued.

...implement risk-based auditing strategies for insurance companies.

3 Module Content • Accounting systems

• Sources of law

• HGB, IAS/IFRS accounting methods

• Full fair value accounting





8 Other Programmes that use the Module Master of Science Business Administration - Finance: Specialisation Section Finance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Supplementary Section Economics Master of Science Business Administration - Supply Chain Management: Supplemen-

tary Section Supply Chain Management Master Wirtschaftsmathematik: WiWi MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: BWL MA Reg China Master of Science Business Administration - Media and Technology Management: Sup-




121

MSC Mathematik: WiWi MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Education Wirtschaftspädagogik/Lehramt an Berufskollegs: Supplementary



ing


10 Miscellaneous


122

Schwerpunktmodul Finance 8

Module

Code 1259SMFi08

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Asset Management (2. Term)

Contact

Hours 60

Self-Studies 120





...value stock, bonds and combined stock/bond portfolios. ...calculate the risks involved

in stocks and bonds.


management.



learned in class.

3 Module Content • Investment process and fund design

• Trading strategies for funds

• Risk factors








Section Wirtschaftspädagogik


123

Master of Science Business Administration - Accounting and Taxation: Supplementary



ing

9 Module Manager Dr. Alexander Pütz Univ.-Prof. Dr. Alexander Kempf







124

Core Module Microeconomics I

Module

Code 1289BMMi01

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Microeconomics I: Demand,

Supply, Equilibria

Contact

Hours 60

Self-Studies 120



...are familiar with the fundamental definitions and concepts in microeconomics.

...identify how demand, supply and pricing work on perfect competition markets.

...solve microeconomic problems.

...analyse microeconomic models.

3 Module Content • Budget theory

• Company theory

• Competitive market theory

• General equilibrium theory

• Welfare economics






tary Section Supply Chain Management Master Wirtschaftsmathematik: VWL MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: VWL MA Reg China Master of Science Business Administration - Media and Technology Management: Sup-

plementary Section Media and Technology Management Master Geographie: VWL Master Geographie Master Regionalwissenschaften Osteuropa: VWL MA Reg Osteuropa Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development MSC Mathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems


125

Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science International Management: Supplementary Section International


9 Module Manager Univ.-Prof. Dr. Marc Oliver Bettzüge

10 Miscellaneous


126

Core Module Microeconomics II

Module

Code 1289BMMi02

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term - Spring

Term

Duration 1 Term


Contact

Hours 60

Self-Studies 120



…get a profound understanding of game theory.get familiar with the applications of

game theory in political and social sciences.

…understand the connection between experimental and behavioral economics.








• Introduction to social choice theory and elections

• Condorcet’s paradox, Arrow’s theorem





8 Other Programmes that use the Module


10 Miscellaneous


127

Specialisation module Competition Policy

Module Code 1289SMCP00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Competition Policy

Contact

Hours 60

Self-Studies 120



...recognise, based on models of competition theory, how competitive markets work.

...discuss the causes of market power and its effects in terms of welfare economics.

...assess, evaluate and debate cases that illustrate competition policy in practice and

use competition theory to analyse them.

3 Module Content • Institutional background: competition policy in Germany, the EU and the US

• Market power: theory and measurement

• Unilateral abuse of market power: horizontal and vertical restraints on competition

• Multilateral abuse of market power: cartels and implicit agreements






tary Section Supply Chain Management Master of Science Business Administration - Media and Technology Management: Spe-

cialisation Section Media and Technology Management Master of Science Business Administration - Media and Technology Management: Sup-


Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science International Management: Core and Advanced Section International

Management


128

9 Module Manager Univ.-Prof. Dr. Felix Höffler

10 Miscellaneous


129

Specialisation Module Specific Markets A

Module Code 1289SMSM01

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Media Economics (Markets &

Institutions)

Contact

Hours 60

Self-Studies 120



…study methods of economics used for analyzing specific markets, such as, for exam-

ple, health markets or media markets.acquire, by doing so, a range of tools assisting in

answering issues related to these markets.

3 Module Content • The relevant actors on these markets, their objectives and constraints

• The interaction between these actors

• Market equilibrium, efficiency and frictions






tary Section Supply Chain Management Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science International Management: Supplementary Section International

Management

9 Module Manager Univ.-Prof. Dr. Johannes Münster

10 Miscellaneous


130

Specialisation Module Specific Markets B

Module Code 1289SMSM02

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Informationsprobleme in Ge-

sundheitsmärkten (Master Eco-

nomics)

Contact

Hours 60

Self-Studies 120



…study methods of economics used for analyzing specific markets, such as, for exam-

ple, health markets or media markets.acquire, by doing so, a range of tools assisting in

answering issues related to these markets.

3 Module Content • The relevant actors on these markets, their objectives and constraints.

• The interaction between these actors.

• Market equilibrium, efficiency and frictions.







Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft

9 Module Manager Univ.-Prof. Achim Wambach, Ph.D.

10 Miscellaneous


131

Specialisation Module Common Topics: Markets and Institutions/ Public Economics

Module Code 1302SMMP00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term

Duration 1 Term

1 Courses Economics of Innovation

Contact

Hours 60

Self-Studies 120



Students...

...practise selecting and assessing advanced empirical approaches to identifying causal

relationships based on pivotal and current research contribution in innovation econom-

ics (e.g. ideas and knowledge production; product market competition, market entry

and innovation; technology adoption and diffusion; science and basic research, intellec-

tual property rights; research, innovation and growth policy).

…consolidate their knowledge of econometric methods

…use selected economic theory models

…investigate important data sources for innovation research

…evaluate state intervention in the innovation process.

3 Module content

• Empirical research in innovation economics

• Empirical modelling, econometric methods, economic theory and data sources

• Research/innovation/growth policy measures

• Institutional and regulatory frameworks


5 Module Entry Requirements Core Econometrics I or Core Econometrics (Fast Track), Core Microeconomics I or

Core Microeconomics (Fast Track)


7 Prerequisites for Awarding of Credit Points Passing the written test





132

9 Module Manager Univ.-Prof. Dr. Susanne Prantl

10 Miscellaneous


133

Schwerpunktmodul Matching and Market Design: Theory and Practice

Module Code 1289SMMD00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Matching and Market Design:

Theory and Practice

Contact

Hours 60

Self-Studies 120



…learn about leading theoretical models of matching markets

...learn how a mixture of theory, experiments, and empirics can be used to analyze ex-

isting matching mechanisms and, if necessary, design better ones

3 Module Content • One - sided matching: House allocation and organ exchange

• Two - sided matching: Entry - level labor markets

• School choice and random assignment

• Matching with contracts: Distributional const raints and internet - ad auctions

• Large matching ma rkets • Combinatorial assignment and course allocation








Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science Sociology and Social Research: Supplementary Section Sociology

and Social Research

9 Module Manager Univ.-Prof. Dr. Alexander Westkamp


134

10 Miscellaneous


135

Core Module Macroeconomics I

Module Code 1302BMMa01

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Macroeconomics I (Master)

Contact

Hours 60

Self-Studies 120



…know important stylized facts about long-term development central variables in dy-

namic macroeconomics and growth theory.

...gain an overview of and understand the key models of dynamic macroeconomics and

growth theory and analyse problems with the underlying essential theoretical concepts.

…are introduced to the connected fundamental empirical approaches (e.g. regression

analysis and growth accounting) and assess to which extent the theoretical models are

capable to explain empirical facts and special cases concerning growth.

...discuss basic growth policy options resulting from theoretical and empirical insights.

...analyse and understand how public debt comes about and discuss and assess fiscal

policy measures on the basis of dynamic approaches.

…apply practical tasks (assignments) connected to the forementioned theoretical and

empirical approaches.

3 Module Content • Stylised facts concerning growth, cross-country differences in income and long-term

income convergence

• Fundamental models of growth theory and dynamic macroeconomics: Solow-Model

and extensions (exogenous technological progress), Ramsey-Cass-Koopmans-Model

(Infinite-Horizon-Model with endogenous savings) and Diamond-Model (Overlapping-

Generations-Model with endogenous savings)

• Fundamental models of endogenous technological progress (R&D model, learning-

by-doing model, human capital model)

• Growth accounting and fundamental findings of empirical research on cross-country

income differences and the relevance of institutional frameworks

• Introduction to Investment Theory (Baselind model of demand for investment and To-

bin’s-q)

• Basic insights in public debt and fiscal policy from a dynamic perspective (debt

measures, ricardian equivalence, tax smoothing)





136


8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Core and Advanced Section Economics Master Wirtschaftsmathematik: VWL MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: VWL MA Reg China Master Geographie: VWL Master Geographie Master Regionalwissenschaften Osteuropa: VWL MA Reg Osteuropa Master of Science Business Administration - Corporate Development: Supplementary

Section Corporate Development MSC Mathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master Regionalwissenschaften Lateinamerika: VWL MA Reg Lateinamerika

9 Module Manager Dr. Andreas Schmidt

10 Miscellaneous


137

Core Module Macroeconomics II


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Macroeconomics II

Contact

Hours 60

Self-Studies 120



Students...

...learn about the main macroeconomic models for price rigidity, unemployment and in-flation.

...verify the models based on appropriate empirical data.

...derive recommendations for economic policy.

...assess the recommendations by scrutinising the prerequisites for them.

3 Module content

• Price rigidities: exogenous price rigidities, microfoundations of price rigidities

• Unemployment: efficiency wages, employment contracts, search unemployment

• Inflation and monetary policy: aims of monetary policy, optimum monetary policy, time

inconsistency






Section Corporate Development MSC Mathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science International Management: Supplementary Section International



138

9 Module Manager Univ.-Prof. Michael Krause , Ph.D.

10 Miscellaneous


139

Specialisation module Foundations in Macroeconomics, Money and Financial Markets A

Module Code 1302SMFM04

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Money and Financial Markets

Contact

Hours 60

Self-Studies 120



The students...

...learn about fundamental theoretical concepts in monetary policy and financial markets at a level that reflects practice.

...apply basic model analysis and policy assessment methods.

...understand key aspects of financial intermediation and how they are regulated as well

as how they are linked to macroeconomic issues.

3 Module content

Central banks and money supply

Monetary policy instruments

Money demand concepts

Monetary transmission

Financial intermediation and banks

Financial market imperfections

Regulation of financial markets and banks





8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Specialisation Section Economics Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science International Management: Supplementary Section International

Management

9 Module Manager Univ.-Prof. Dr. Andreas Schabert


140

10 Miscellaneous


141

Specialisation module Foundations in Macroeconomics, Money and Financial Markets B


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses International Macroeconomics

Contact

Hours 60

Self-Studies 120



Students...

...learn fundamental theoretical concepts in international macroeconomics at the applied level.

...apply fundamental methods used in empirical models and policy assessment.

...understand how exchange rates are determined, how economic shocks are transmit-ted, understand monetary policy in open economies and balance of payments difficulties.

...understand the structure of fundamental economic and empirical knowledge in the

field of "International Macroeconomics".

3 Module content

Institutional background knowledge

Monetary model of exchange rate determination

Lucas model

International real business cycles

Currency market efficiency

Mundell-Fleming model

New international macroeconomics

Balance of payments crises





8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Specialisation Section Economics Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft



142

10 Miscellaneous


143

Specialisation module Foundations in Macroeconomics, Money and Financial Markets C


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term

Duration 1 Term

1 Courses Public Debt

Contact

Hours 60

Self-Studies 120


2 Learning objectives Students... ...analyse elementary empirical facts concerning public debt. ...perform analytical assessments of the allocative effects of public debt. ...perform analytical assessments of the welfare effects of public debt. ...analyse the impact of public debt under altruism. ...analyse the similarities in the way in which public debt and pay-as-you go retirement

pensions work.

3 Module content Basic methods: OLG model Theory of public debt (closed and open economy) Ricardian equivalence Theory of provions for old age Optimal public debt under distortionary taxation

4 Teaching and learning methods

Lectures

Exercises

5 Module entry requirements

No recommendations

6 Mode of end-of-module examination

Written examination: WT (90)

7 Prerequisites for awarding of credit points




10 Miscellaneous


144

Specialisation module Topics in Macroeconomics, Money and Financial Markets

Module Code 1302SMTM01

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Term

Duration 1 Term

1 Courses Topics in Macroeconomics,

Money and Financial Markets

Contact

Hours 60

Self-Studies 120


2 Learning objectives Students... ...are familiar with the elementary empirical facts in the area of financial markets and monetary policy.

...understand the economic theory models relating to those topics.

...explain the empirical facts using those models.

...use the models to structure and answer current economic policy questions taking into

account the empirical facts.

3 Module content

• recent and advanced topics in the field of Macroeconomics, Money and Financial Mar-

kets


Lectures

Exercises


No recommendations







10 Miscellaneous


145

Core Module Macroeconomics I


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Macroeconomics I (Master)

Contact

Hours 60

Self-Studies 120



…know important stylized facts about long-term development central variables in dy-

namic macroeconomics and growth theory.

...gain an overview of and understand the key models of dynamic macroeconomics and

growth theory and analyse problems with the underlying essential theoretical concepts.

…are introduced to the connected fundamental empirical approaches (e.g. regression

analysis and growth accounting) and assess to which extent the theoretical models are

capable to explain empirical facts and special cases concerning growth.

...discuss basic growth policy options resulting from theoretical and empirical insights.

...analyse and understand how public debt comes about and discuss and assess fiscal

policy measures on the basis of dynamic approaches.

…apply practical tasks (assignments) connected to the forementioned theoretical and

empirical approaches.

3 Module Content • Stylised facts concerning growth, cross-country differences in income and long-term

income convergence

• Fundamental models of growth theory and dynamic macroeconomics: Solow-Model

and extensions (exogenous technological progress), Ramsey-Cass-Koopmans-Model

(Infinite-Horizon-Model with endogenous savings) and Diamond-Model (Overlapping-

Generations-Model with endogenous savings)

• Fundamental models of endogenous technological progress (R&D model, learning-

by-doing model, human capital model)

• Growth accounting and fundamental findings of empirical research on cross-country

income differences and the relevance of institutional frameworks • Introduction to In-

vestment Theory (Baselind model of demand for investment and Tobin’s-q)

• Basic insights in public debt and fiscal policy from a dynamic perspective (debt

measures, ricardian equivalence, tax smoothing)





146



Section Corporate Development MSC Mathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master Regionalwissenschaften Lateinamerika: VWL MA Reg Lateinamerika

9 Module Manager Dr. Andreas Schmidt

10 Miscellaneous


147

Core Module Macroeconomics II


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Macroeconomics II

Contact

Hours 60

Self-Studies 120



Students...

...learn about the main macroeconomic models for price rigidity, unemployment and in-flation.

...verify the models based on appropriate empirical data.

...derive recommendations for economic policy.

...assess the recommendations by scrutinising the prerequisites for them.

3 Module content

• Price rigidities: exogenous price rigidities, microfoundations of price rigidities

• Unemployment: efficiency wages, employment contracts, search unemployment

• Inflation and monetary policy: aims of monetary policy, optimum monetary policy, time

inconsistency


Lectures

Exercises


Recommended: Macroeconomics I



7 Prerequisites for awarding of ECTS credits



Section Corporate Development MSC Mathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science International Management: Supplementary Section International



148

9 Module Manager Univ.-Prof. Michael Krause , Ph.D.

10 Miscellaneous


149

Specialisation module Foundations in Growth, Labor and Inequality in the Global Economy A

Module Code 1302SMFG01

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Growth, Inequality and Struc-

tural Change

Contact

Hours 60

Self-Studies 120


2 Learning objectives Students... ...are familiar with the elementary empirical facts concerning the topics covered in the respective course. ...understand the economic theory models relating to those topics. ...explain the empirical facts using those models. ...use the models to structure and answer current economic policy questions taking into


3 Module content • Reminder: Neoclassical Growth

• The Rate and the Direction of Technical Change

• Automation, Work and Leisure.

• Sectorial Change (Deindustrialization, Services, Real Estate, Rise of the State)

• Technical Change and Persistent Inequality

• Labor and Capital:

• When does capital accumulation reduce labor’s share?

• When does technical change reduce labor’s share?

• Labor and Real Estate: How productivity growth generates abundance and poverty.

• Skilled Labor, Unskilled Labor and the Skill Premium.

• Globalization and Institutions

• Capital-Skill Complementarity

• Biased Technical Change

• The Affluent Society and its Economic Problems.

4 Teaching and learning methods Lectures Exercises


Recommended: Core module Macroeconomics I or Macroeconomics I (Research

Track)

6 Mode of end-of-module examination Written examination: WT (90)

7 Prerequisites for awarding of credit points Passing the written test.



150


10 Miscellaneous


151

Specialisation module Foundations in Growth, Labor and Inequality in the Global Economy B


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Macroeconomics of the Labor

Market

Contact

Hours 60

Self-Studies 120


2 Learning objectives Students... ...are familiar with the elementary empirical facts concerning the topics covered in the course. ...understand the economic theory models relating to those topics. ...explain the empirical facts using those models. ...use the models to structure and answer current economic policy questions taking into


3 Module content • Dynamic development of labour and employment •Labour market movements and inter-firm mobility • Wage inequalities and wage developments • Structural, frictional and cyclical unemployment • Wage negotiation models (individual and collective) • International factor mobility • Employment policy


5 Module entry requirements Recommended: Core module Macroeconomics II







10 Miscellaneous


152

Specialisation module Foundations in Growth, Labor and Inequality in the Global Economy C


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term

Duration 1 Term

1 Courses Political Economy

Contact

Hours 60

Self-Studies 120



...apply the approach of new political economy and learn to know the most important

theo-retical models of collective choice and social choice.

…formalize and analyze questions of redistribution and inequality within these models.

…discuss and evaluate the outcomes of different institutional setting with the tools of

col-lective choice.

3 Module Content The course will be composed of two parts.

The focus of the first part will be on introducing some of the most important theoretical

models of collective choice (basics of social choice, models of voting and electoral com-

petition, political agency, special interest politics, corruption, conflict).

In the second part of the course the models and tools developed in the first part will be

used to discuss questions surrounding the topics inequality and redistribution.







10 Miscellaneous Lectures will mostly be based on research articles. Students will be provided with prob-

lem sets, the solutions of which will be (briefly) discussed in class.


153


154

Specialisation module Topics in Growth, Labor and Inequality in the Global Economy

Module Code 1302SMTG00

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Term

Duration 1 Term

1 Courses a) Development Economics b) Growth, Energy, Climate

Contact

Hours a) 60 b) 60


Course Langugage a) German and Eng-

lish b) English

2 Learning objectives Students... …apply the approach of new political economy and learn to know the most important theoretical models of collective choice and social choice.

…formalize and analyze questions of redistribution and inequality within these models.

…discuss and evaluate the outcomes of different institutional setting with the tools of

collective choice.

3 Module content The course will be composed of two parts. The focus of the first part will be on introducing some of the most important theoretical models of collective choice (basics of social choice, models of voting and electoral com-petition, political agency, special interest politics, corruption, conflict).

In the second part of the course the models and tools developed in the first part will be

used to discuss questions surrounding the topics inequality and redistribution.


Lectures

Exercises


No recommendations







10 Miscellaneous


155

Specialisation Module Common Topics: Markets and Institutions/ Public Economics

Module Code 1302SMMP00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term

Duration 1 Term

1 Courses Economics of Innovation

Contact

Hours 60

Self-Studies 120



Students...

...practise selecting and assessing advanced empirical approaches to identifying causal

relationships based on pivotal and current research contribution in innovation econom-

ics (e.g. ideas and knowledge production; product market competition, market entry

and innovation; technology adoption and diffusion; science and basic research, intellec-

tual property rights; research, innovation and growth policy).

…consolidate their knowledge of econometric methods

…use selected economic theory models

…investigate important data sources for innovation research

…evaluate state intervention in the innovation process.

3 Module content

• Empirical research in innovation economics

• Empirical modelling, econometric methods, economic theory and data sources

• Research/innovation/growth policy measures

• Institutional and regulatory frameworks


Lectures

Exercises


Recommended: Core module Econometrics or core module Econometrics (Research

Track), core module Microeconomics I or core module Microeconomics I (Research

Track)









156

Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft

9 Module Manager Univ.-Prof. Dr. Susanne Prantl

10 Miscellaneous


157

Core Module Econometrics

Module

Code 1314BMEc00

Workload 360

ECTS Credits 12

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Core Econometrics

Contact

Hours 90

Self-Studies 270



...have basic knowledge of econometric methods, enabling them to understand scien-

tific contributions in the field of empirical economic research and to conduct empirical


...create econometric models and choose between alternative model specifications.

...can estimate parameters of linear and generalised regression models, models for dis-

crete and limited dependent variables and time series models, using suitable inference

methods, and con-duct hypothesis tests.

...generate forecasts for economic variables.

3 Module Content • Linear regression model and OLS method • Generalised linear regression model with

heteroskedastic/autocorrelated errors and (F)GLS method • Endogeneity and instru-

mental variables • Maximum likelihood method • Generalised moment method • Models

for discrete and limited dependent variables • Univariate and multivariate time series

models • Panel models






nance Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Core and Advanced Section Economics Master of Science Business Administration - Supply Chain Management: Core and Ad-

vanced Section Supply Chain Management Master Wirtschaftsmathematik: VWL MA Mathe/Wirtschaftsmathe Master Regionalwissenschaften China: VWL MA Reg China Master of Science Business Administration - Media and Technology Management: Core



158


plementary Section Media and Technology Management Master Geographie: VWL Master Geographie Master Regionalwissenschaften Osteuropa: VWL MA Reg Osteuropa Master of Science Business Administration - Corporate Development: Core and Ad-


Section Corporate Development MSC Mathematik: VWL MA Mathe/Wirtschaftsmathe Master of Science Information Systems: Supplementary Section Information Systems Master of Science Sociology and Social Research: Supplementary Section Sociology



Section Accounting and Taxation Master Regionalwissenschaften Lateinamerika: VWL MA Reg Lateinamerika Master of Science Business Administration - Marketing: Supplementary Section Market-

ing Master of Science Business Administration - Marketing: Core and Advanced Section

Marketing


10 Miscellaneous


159

Specialisation module Time Series Analysis

Module

Code 1314SMTS00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Time Series Analysis

Contact

Hours 60

Self-Studies 120


2 Learning objectives Students... ...acquire advanced knowledge of statistical econometric methods for analysing time se-ries data. ...learn how to specify ARIMA processes and to estimate, test and interpret ARIMA pa-rameters. ...learn how to test for non-stationarity. ...learn how to model time-varying volatility. ...learn how to analyse multivariate time series with vector autoregressive models. ...acquire the skills to be able to conduct empirical analyses of dynamic economic pro-

cesses independently.

3 Module content • Linear differential equations • Stationary processes • Estimation and forecasting of ARMA processes • Goodness of fit and model selection • Unit root tests • GARCH processes • Multivariate time series • Cointegration and Granger causality • The students apply the methods they have learned in computer-aided exercises using

econometric software to analyse time series data.

4 Teaching and learning methods Project Lectures Exercises


Recommended: Core module Econometrics and/or specialisation module: Advanced

Statistics I and II.





8 Other Programmes that use the Module Master of Science Business Administration - Finance: Supplementary Section Finance Master of Science Economics: Specialisation Section Economics Master of Science Business Administration - Media and Technology Management: Sup-




160

Master of Science Business Administration - Accounting and Taxation: Supplementary


ing

9 Module Manager Univ.-Prof. Dr. Roman Liesenfeld Univ.-Prof. Dr. Jörg Breitung

10 Miscellaneous


161

Specialisation module Microeconometrics

Module

Code 1314SMMi00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term

Duration 1 Term

1 Courses Microeconometrics

Contact

Hours 60

Self-Studies 120


2 Learning objectives Students... ...acquire advanced knowledge of microeconometric methods for discrete and limited

dependent variables required for empirical analysis of corporate, household or customer

behaviour based on individual data.

…conduct empirical studies on (micro)economic questions independently

…understand and critically assess current contributions to research in applied microe-

conometrics.

3 Module content • Parameter estimation and test methods in non-linear models • Binary choice models • Multinomial models • Models for limited dependent variables •Count data models • Linear and non-linear panel models • The students apply the methods they have learned in computer-aided exercises using

econometric software to analyse microeconometric data sets.



Recommended: Core module Econometrics and/or specialisation module Advanced






Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science Business Administration - Accounting and Taxation: Supplementary



162


ing


10 Miscellaneous


163

Specialisation module Bayesian Econometrics

Module Code 1314SMBE00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Term

Duration 1 Term

1 Courses Bayesian Econometrics

Contact

Hours 60

Self-Studies 120


2 Learning objectives Students... ...acquire knowledge of the main Bayesian inference concepts and methods for econo-metric models. ...learn how to implement Bayesian methods to analyse linear regression and time series models. ...learn how to implement modern Monte-Carlo integration methods (MCMC and im-portance sampling) to analyse a posteriori distributions. ...learn how to use Bayesian approaches to compare models and to forecast and test parameter restrictions. ...acquire the skills necessary to perform Bayesian analyses independently.

3 Module content • Principles of Bayesian econometrics • Bayesian estimators and numerical integration • Importance sampling and Markov-Chain-Monte-Carlo • Linear regression model with conjugate prior distributions • Linear regression model with non-conjugate prior distributions • Linear regression model with generalised covariance structure • Time series models • Models for discrete dependent variables • The students apply the methods they have learned in computer-aided exercises using

econometric software to analyse economic data sets.


5 Module entry requirements Recommended: Core module Econometrics and/or specialisation module Advanced



Oral examination: OE (30)


Passing the oral examination.



Section Corporate Development Master of Science Information Systems: Supplementary Section Information Systems


164

Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science Business Administration - Accounting and Taxation: Supplementary


ing


10 Miscellaneous


165

Specialisation module Statistical Analysis of Financial Data

Module

Code 1314SMSF00

Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Statistical Analysis of Financial

Data

Contact

Hours 60

Self-Studies 120


2 Learning objectives Students... ...are familiarised with the stylised facts relating to financial market data

…learn how to use financial market econometrics models

…gain experience in the empirical analysis of financial market time series

…conduct empirical studies independently

…understand and critically assess current academic contributions to empirical financial

market research

…learn statistical econometric methods with which to forecast and model univariate and

multivariate financial market time series.

3 Module content • Financial market time series and their properties • Linear time series models • Empirical analysis of the efficiency of securities markets and the predictability of returns on securities • Empirical analysis of the capital asset pricing model • Empirical analysis of intertemporal asset pricing models • Volatility models • Market microstructure and high-frequency data • The students apply the methods they have learned in computer-aided exercises using

econometric software to analyse financial market data











166


ing


10 Miscellaneous


167

Specialisation module Advanced Statistics (Stochastic Processes)


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Stochastic Models

Contact

Hours 60

Self-Studies 120



...acquire advanced knowledge of probability theory and stochastic modelling, which

form the basis upon which statistical inference methods are applied in empirical eco-

nomic research.

...learn how to calculate and interpret probabilities and how to model economic phe-

nomena with the aid of random variables and stochastic processes.

3 Module Content • Probabilities and random variables

• Moments of random variables

• Parametric families of univariate und multivariate probability distributions

• Basic elements of asymptotics • Stochastic processes


5 Module Entry Requirements Recommended: Solid basic knowledge of probability theory gained in bachelor degree,

Core Module in Mathematics (BSc in Economics/Business Administration) and core and

advanced modules in Statistics (BSc in Economics/Business Administration).








vanced Section Corporate Development


168






ing


10 Miscellaneous


169

Specialisation module Advanced Statistics (Statistical Inference)


Workload 180

ECTS Credits 6

Module Lan-

guage English

Module


Duration 1 Term

1 Courses Advanced Statistics (Statistical

Inference)

Contact

Hours 60

Self-Studies 120



...acquire advanced knowledge of parameter estimation and testing of statistical hypoth-

eses.

...learn the fundamentals of statistical data collection methods.

...learn the theoretical fundamentals of point and interval estimation and of hypothesis

testing.

...learn how to perform special parametric and non-parametric estimations and tests.

...learn how to perform statistical inference analysis of stochastic models.

3 Module Content • Sampling

• Theory of point and interval estimation and estimation methods

• Theory of hypothesis testing and test procedures

• Estimation and testing for stochastic processes


5 Module Entry Requirements Recommended: Core Module Advanced Statistics (Stochastic Processes), solid basic

knowledge of probability theory gained in bachelor degree, Core Module in Mathemat-

ics (BSc in Economics/Business Administration) and core and advanced modules in

Statistics (BSc in Eco-nomics/Business Administration).








170








ing


10 Miscellaneous


171

Specialisation module Topics in Statistics A

Module

Code 1314SMTS01

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Term

Duration 1 Term

1 Courses Topics in Statistics A

Contact

Hours 60

Self-Studies 120


2 Learning objectives Students... ...acquire advanced knowledge of special statistical methods and how they are applied

in empirical economic research.

3 Module content • Latest statistical methods • Applications in business administration, management studies and economics and so-

cial sciences












ing

9 Module Manager Univ.-Prof. Dr. Roman Liesenfeld N.N. Dr. Bastian Gribisch


172

10 Miscellaneous


173

Specialisation module Topics in Statistics B

Module

Code 1314SMTS02

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Term

Duration 1 Term

1 Courses Topics in Statistics B

Contact

Hours 60

Self-Studies 120





cial sciences


5 Module entry requirements Recommended: Core module Econometrics and/or Specialisation module Advanced










ing

9 Module Manager Univ.-Prof. Dr. Roman Liesenfeld Univ.-Prof. Dr. Jörg Breitung N.N. Dr. Bastian Gribisch


174

10 Miscellaneous


175

Specialisation module Topics in Econometrics C

Module

Code 1314SMTE03

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Term

Duration 1 Term

1 Courses Topics in Econometrics C

Contact

Hours 60

Self-Studies 120





cial sciences












ing

9 Module Manager Univ.-Prof. Dr. Roman Liesenfeld N.N. Dr. Bastian Gribisch


176

10 Miscellaneous


177

Specialisation module Topics in Econometrics D

Module

Code 1314SMTE04

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Term

Duration 1 Term

1 Courses Topics in Econometrics D

Contact

Hours 60

Self-Studies 120





cial sciences


5 Module entry requirements Recommended: Core module Econometrics and/or specialisation module Advanced










ing

9 Module Manager Univ.-Prof. Dr. Roman Liesenfeld Univ.-Prof. Dr. Jörg Breitung N.N. Dr. Bastian Gribisch


178

10 Miscellaneous


179

Specialisation module Seminar Statistics and Econometrics

Module Code 1314SMSS00

Workload 180

ECTS Credits 6

Module Lan-

guage German and

English

Module


Duration 1 Term

1 Courses Seminar in Statistics and Econ-

ometrics

Contact

Hours 30

Self-Studies 150


2 Learning objectives Students... ...analyse specialist literature on the subject. ...critically assess contemporary statistical and econometric methods. ...apply contemporary statistical and econometric methods independently in practice to analyse real data. ...write and present a paper in accordance with academic standards.

3 Module content • Time series analysis • Microeconometrics • Macreconometrics • Panel econometrics • Financial market econometrics and statistics • Bayesian econometrics and statistics • Non-parametric methods • Analysis of stochastic processes • Statistical inference


Seminar





Combined examination: PRES, TP


Passing the combined examination.





ing


180

9 Module Manager Univ.-Prof. Dr. Roman Liesenfeld Prof. Dr. Rainer Dyckerhoff Univ.-Prof. Dr. Jörg Breitung N.N.

10 Miscellaneous


181

Studies Abroad I (Master)

Module

Code 1014SAEr01

Workload 360

ECTS Credits 12

Module Lan-

guage

Module


Duration 1 Term

1 Courses

Contact

Hours

Self-Studies

Course Langugage


…describe approaches in Business Administration, Economics and Social Sciences

from an international perspective.

…explain international Business Administration, Economics and Social Sciences is-

sues.

…discuss and compare different theories and approaches of Business Administration,

Economics and Social Sciencesdevelop new intellectual perspectives on their own edu-

cation background

…be better equipped to cope effectively with the dynamic global dimensions of their fu-

ture professional life.

3 Module Content depending on course selection

4 Teaching and Learning Methodsen


6 Mode of End-of-Module Examination Anerkennung

7 Prerequisites for Awarding of Credit Points depending on course selection





and Social Research Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science Business Administration - Accounting and Taxation: Supplementary



182


ing

9 Module Manager

10 Miscellaneous Language: can be held in English or in any language offered at the host university.


183

Studies Abroad II (Master)

Module

Code 1014SAEr02

Workload 360

ECTS Credits 12

Module Lan-

guage

Module


Duration 1 Term

1 Courses

Contact

Hours

Self-Studies

Course Langugage


…describe approaches in Business Administration, Economics and Social Sciences

from an international perspective.

…explain international Business Administration, Economics and Social Sciences is-

sues.

…discuss and compare different theories and approaches of Business Administration,

Economics and Social Sciencesdevelop new intellectual perspectives on their own edu-

cation background

…be better equipped to cope effectively with the dynamic global dimensions of their fu-

ture professional life.

3 Module Content depending on course selection

4 Teaching and Learning Methodsen


6 Mode of End-of-Module Examination Anerkennung

7 Prerequisites for Awarding of Credit Points depending on course selection





and Social Research Master of Arts Politikwissenschaft: Supplementary Section Politikwissenschaft Master of Science Business Administration - Accounting and Taxation: Supplementary



184


ing

9 Module Manager

10 Miscellaneous Language: can be held in English or in any language offered at the host universityThis

module can be studied either at a foreign university. In this case, there is a standardised

course accreditation procedure. Information about course accreditation (deadlines and

procedures) is available from the Credit Transfer Center (WiSo-Anrechnungszentrum :

https://www.anrechnungwiso.uni‐ koeln.de/.)This module can also be studied as part of

a Summer School organised by the WiSo‐ Faculty. In this case, the previous exam reg-

istration has to be done according to the regulations of the WiSo-Faculty.


185

3.5.4 Master thesis

Master’s thesis in Business Administration

Module code 1015MaBA00

Workload 900

ECTS credits 30

Module Lan-

guage German and

English

Module

availability Every Term

Duration 1 Term

1 Courses

Contact

hours

Self-Studies

Course Language

2 Learning objectives Students... ...are familiar with current debate on international management theory and methods and

make use of it through their own independent research work. ...identify questions and issues that meet academic requirements. ...work on these questions independently, using the main primary and secondary litera-

ture. ...formulate theoretical and methodical (qualitative and/or quantitative) approaches to

academic research. ...draw up a research plan and implement it independently. ...organise and design an academic research process. ...independently collect relevant data and evaluate them in a methodically competent

manner. ...discuss theoretical and methodical problems in depth with teaching staff, other stu-

dents and persons with an interest in the field. ...critically assess research findings and derive conclusions from them that are relevant

to research and society.

3 Module content The topic of the master’s thesis on the Business Administration programme must come

from the specialisation section or from the subject group taken by the candidate in the

supplementary section. If the topic relates to the supplementary section, the candidate

must already have accumulated 18 ECTS credits in said supplementary section.


5 Module entry requirements 60 ECTS credits obtained



8 Other programmes that use the module Master of Science Business Administration - Accounting and Taxation: Masterarbeit

Master of Science Business Administration - Corporate Development: Masterarbeit


186

Master of Science Business Administration - Finance: Masterarbeit

Master of Science Business Administration - Marketing: Masterarbeit

Master of Science Business Administration - Media and Technology Management:Mas-

terarbeit

Master of Science Business Administration - Supply Chain Management: Masterarbeit

9 Module manager AD Dr. Johannes Antweiler

10 Miscellaneous The master’s thesis may be written in German or English.

MODULE CATALOGUE - WiSo-Fakultät · MODULE CATALOGUE BUSINESS ADMINISTRATION: ... CC Compulsory course SPM Supplementary module CH ... OE Oral examniation TR

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