ABOUT LIBA LIBA is engaged in education, research, consulting and training in the area of management and its related domains leading to Postgraduate Diploma in Management (PGDM) recognized by the All India Council for Technical Education (AICTE); part time AICTE approved programmes and many other medium and short term programmes in the area of management. LIBA has different Centres of Excellence with which it offers industry ready specialized management programmes for working executives and for exceptional fresh graduates who are aspiring for challenging careers. ABOUT TCS TCS, one of the large and leading information technology firm with global presence is engaged in the business of provision of various information technology services, business solutions, and consultancy and outsourcing services worldwide. ABOUT THE COLLABORATION TCS & LIBA under the academic interface program driven by TCS have jointly entered into a collaboration for developing business analysts who could be employable and future leaders in the domain and its selected functional areas of applications. TCS facilitates towards developing and designing and/or providing industry specific application oriented courses in the area of Business Analytics to be offered as Executive Postgraduate Diploma in Business Analytics in the weekend mode. This is being considered by TCS with an objective of creating highly skilled technical manpower resources. Executive Diploma in BUSINESS ANALYTICS The Programme leading to the Executive Diploma in Business Analytics is designed as a structured learning system in analytics domain focused to give a thorough understanding of the domain and application of its tools and techniques in selective functional areas. LIBA along with TCS as an industry partner to offer this programme. With its expertise, TCS will be able to add value to the students of LIBA, which is unique and first of its relationship with a management school. To quote Ranjan Bandyopadhyay, Vice-President, HR, TCS : “Analytics is emerging as a key growth area spanning industries. The need of the hour is talent that can work on delivering carefully-crafted analytics solutions, insights and recommendations to businesses. The courses that TCS will design as part of the collaboration with LIBA will bring contemporary, application-oriented inputs to the classroom.” We expect students with a background in IT, programming, and data mining who are working IT and ITES sector and also in other user industries like banking, insurance, financial services, healthcare, pharmaceuticals, consumer product groups, auto motive including components and parts manufacturing, retail and entertainment and so on would especially benefit from the course. Although it is intended essentially for the working professionals, the Programme can also help fresh graduates with better prospects in analytics based management decisions and with technology and user firms. However, students are expected to have strong interests and competency in mathematics, statistics and data tools. The Programme is designed with learning modules based on analytical approaches and software applications to achieve the objective of providing knowledge and skill essential for successful management professionals in business analytics. The programme would be based on ‘R’ as tool and language. COURSE PLAN No. Course Title Term Credits 1 Mathematics I 3 2 Fundamental of Statistics I 3 3 Database Technology I 3 4 Advanced Statistical Methods I I 3 5 Data Mining for Business Intelligence I 2 6 Introduction to package: ‘R’ II 3 7 Advanced Statistical Methods II II 3 8 Advanced Analytics using ‘R’ II 2 9 Machine Learning Concepts using ‘R’ II 3 10 Big Data & Hadoop II 3 11 Management Science and Optimization III 3 12 Business Data Visualization III 2 ELECTIVES 1 Sales & Marketing Analytics III 2 2 Digital Marketing – Web Analytics III 2 3 Credit Risk Analytics: III 2 Measurement Techniques and Applications 4 Retail Analytics III 2 Note : Students can choose two from above list of electives Pedagogy: Classes would be through class room sessions, lab work and a numerous applications and case discussions. There would be some virtual support that would be available. Wherever there is scope for providing supplementary learning in these subjects, the same would be supported by faculty. Students who fail to qualify in Mathematics and Statistics in Term I would be asked to redo the programme with the batch in the following year. Schedule: The programme would be taught during Saturday and Sunday at LIBA campus, Chennai. Typically in a week end students would have to spend about five hours on Saturdays and three hours on Sundays.