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T he Department of Statistics is a world leader in the field, and its faculty includes major figures in statistics and probability, and their application to such disciplines as genetics, finance, medicine, climatology, computer vision, linguistics, and chemical kinetics. Course offerings in statistics and probability range from the highly mathematical to those that focus on data analysis and statistical computation— and even a class on the history of statistics. Statistics majors often take courses in the University’s four graduate divisions and six professional schools, including the University of Chicago Booth School of Business. Statistics For more information, visit collegeadmissions.uchicago.edu Statistics is an excellent field for students with strong mathematical skills and an interest in applying these skills to problems in the natural and social sciences. PHYSICAL SCIENCES SICAL SCIENCE COLLEGIATE DIVISION EGIATE DIVIS MAJORS Sample Courses History of Statistics This course covers the period from 1650 to 1950, with emphasis on developments in the theory of probability and how they came to be used in the sciences. Students use this analysis to develop a conceptual framework for scientific theories. Design and Analysis of Experiments This course introduces the application of linear models in experimental design, emphasizing such basic principles as blocking, randomization, and incomplete layouts. Students examine standard designs—fractional factorial, incomplete block, split unit designs—within this context. Introduction to Probability Models In this course, students study models for a variety of phenomena in the physical and biological sciences, with an emphasis on such stochastic processes as discrete time Markov chains, Poisson processes, continuous time Markov processes, and Brownian motion. Applied Regression Analysis This course introduces multiple regression models using real data from the natural and social sciences. Students focus on the method of least squares, including residuals, transformation of data, selection of regres- sion equations, dummy variables, tests of fit, and nonlinear models. Complex Statistical Problems The topics studied in this course vary from year to year. Recently, students have investigated the impact of missing data on statistical analyses, algorithms for iterative maximum likelihood estimation, and Bayes- ian computation. At the University of Chicago, the statistics major offers coverage of the principles and methods of statistics in combination with a solid training in mathematics and some expo- sure to computing. In addition, there is considerable elective free- dom, enabling interested students to examine those areas of knowledge in the biological, physical, and social sciences that are often subjected to detailed statistical analysis. is flexibility makes it feasible to complete the statistics major and an additional major simultaneously—many statistics majors also major in mathematics, economics, or other disciplines. An honors program in statistics is available, which includes writing an honors paper under the supervision of a faculty member, usually in some application of
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majors_statistics

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Daniel Goebel

Sample Courses PHYSICAL SCIENCESPHYSICALSCIENCES COLLEGIATE DIVISIONCOLLEGIATEDIVISION At the University of Chicago, the statistics major offers coverage of the principles and methods of statistics in combination with a solid training in mathematics and some expo- sure to computing. In addition, there is considerable elective free- dom, enabling interested students to examine those areas of knowledge in the biological, physical, and social sciences that are often
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Page 1: majors_statistics

The Department of Statistics is a world leader in the fi eld, and its faculty

includes major fi gures in statistics and probability, and their application to such disciplines as genetics, fi nance, medicine, climatology, computer vision, linguistics, and chemical kinetics. Course off erings in statistics and probability range from the highly mathematical to those that focus ondata analysis and statistical computation—and even a class on the history of statistics.

Statistics majors often take courses in the University’s four graduate divisions and six professional schools, including the University of Chicago Booth School of Business.

Statistics

For more information, visit collegeadmissions.uchicago.edu

Statistics is an excellent fi eld for students with strong mathematical skills and an interest in applying these skills to problems in the

natural and social sciences.

P H YS I C A L S C I E N C E SP H YS I C A L S C I E N C E S

CO L L E G I AT E D I V I S I O NCO L L E G I AT E D I V I S I O N

MAJORS

Sample CoursesHistory of Statistics

This course covers the period from 1650 to

1950, with emphasis on developments in the

theory of probability and how they came to

be used in the sciences. Students use this

analysis to develop a conceptual framework

for scientifi c theories.

Design and Analysis of Experiments

This course introduces the application of

linear models in experimental design,

emphasizing such basic principles as

blocking, randomization, and incomplete

layouts. Students examine standard

designs—fractional factorial, incomplete

block, split unit designs—within this context.

Introduction to Probability Models

In this course, students study models for

a variety of phenomena in the physical and

biological sciences, with an emphasis

on such stochastic processes as discrete

time Markov chains, Poisson processes,

continuous time Markov processes, and

Brownian motion.

Applied Regression Analysis

This course introduces multiple regression

models using real data from the natural

and social sciences. Students focus on the

method of least squares, including residuals,

transformation of data, selection of regres-

sion equations, dummy variables, tests of

fi t, and nonlinear models.

Complex Statistical Problems

The topics studied in this course vary

from year to year. Recently, students have

investigated the impact of missing data on

statistical analyses, algorithms for iterative

maximum likelihood estimation, and Bayes-

ian computation.

At the University of Chicago, the statistics major off ers coverage of the principles and methods of statistics in combination with a solid training in mathematics and some expo-

sure to computing. In addition, there is considerable elective free-dom, enabling interested students to examine those areas of knowledge in the biological, physical, and social sciences that are often

subjected to detailed statistical analysis. Th is fl exibility makes it feasible to complete the statistics major and an additional majorsimultaneously—many statistics majors also major in mathematics, economics, or other disciplines. An honors program in statistics is available, which includes writing an honors paper under the supervision of a faculty member, usually in some application of

Page 2: majors_statistics

CollegeAdmissions

1101 East 58th StreetChicago, Illinois 60637-5416T 773.702.8650F 773.702.4199

collegeadmissions.uchicago.edu

statistics to a scientific problem. Moreover, every undergraduate student has the opportunity to take graduate level courses in the University; undergraduates majoring in statistics may be particularly interested in taking classes in our statistics PhD program, or may even choose to pursue such a degree upon graduation.

Minor in Statistics

The focus of the statistics minor is on statistical methodology, whereas the statistics major has a substantial theoretical component. The minor is quite popular, and students enrolled in it have come from a broad range of majors in the natural and social sciences and humanities. The minor is of particular value to students planning to collect or analyze data as part of their work in their field of study, particularly within biology, psychology, and economics.

Joint BA/MS in Statistics

For exceptionally qualified undergraduates, the department offers a joint BA/MS program that enables students to complete a master of science in statistics along with a bachelor’s degree during their four years at the College. Participants in the joint BA/MS program must meet the same requirements as students in the MS program in statistics. Of the nine courses that are required for the MS, up to three may also meet the require-ments of an undergraduate program. Other requirements include a master’s paper and participation in the consulting program of the Department of Statistics.

Offerings for Non-Majors

A large percentage of undergraduates take at least one class in statistics. The department offers introductory classes at several levels for this purpose. However, many students who are not planning to pursue a major or minor

in statistics will want to take more than one class in the department. For example, it is common for students to follow up their introductory class in statistics with one in regression analysis, the most commonly used statistical methodology. Other students take a two-quarter introduction to statistical theory and methodology. This sequence is a prerequisite for many advanced courses and is highly appropriate for students considering graduate study in such quantitative disci-plines as economics, computer science, or electrical engineering.

Career Preparation

The statistics major prepares students for a multitude of fields in which analytic, quantitative, and technical skills are used. Several pre-professional programs through UChicago’s Career Advising and Planning Services (CAPS) help students augment their education with hands-on experience, guidance from expert advisors, and networking opportunities.

CAPS pre-professional “Chicago Careers in” programs:n The Artsn Businessn Health Professionsn Higher Educationn Journalismn Lawn Public and Social Servicen Science and Technology

Through some of the programs, students can take courses in the University’s six professional schools:n University of Chicago Booth School

of Businessn Divinity Schooln University of Chicago Harris School of

Public Policyn Law School

n Pritzker School of Medicinen School of Social Service Administration

The Chicago Careers in Business (CCIB) program is especially popular among statistics majors. The CCIB program includes profes-sional advising, courses at Chicago Booth, mentorship from fourth-year CCIB and Chicago Booth students, and weekly workshops led by industry professionals. Career and intern-ship fairs and on-campus recruiting connect students to potential employers.

ADM 12 002