M.Sc. Business Analytics is a five-semester Work Integrated Learning Programme designed for working professionals, who are aspiring for rapid career progression in the high-growth areas of Business Analytics and Big Data, and wish to stand out in highly competitive workplaces by acquiring prestigious Masters-level qualification from a premier institution. The programme offers exposure to state-of-the-art data analysis/ visualization tools such as R, SAS, Python and Tableau. Practitioner-oriented insights from industry experts will help you develop solutions to real world problems using cutting edge analytical techniques.The programme is of five semesters, with online classes conducted mostly on weekends or after-business hours.Semesters 1-4 cover four courses each. The 5th semester covers Dissertation/ Project Work.The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme.The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme. The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work integrated activities
Curriculum
First semester
Marketing
Management Information Systems
Models and Applications in Operational Research
Introduction to Statistical Methods
Second Semester
Financial Management
Business Data Mining
Advanced Statistical Methods
Introduction to Data Science.
Third Semester
Supply Chain Management
Big Data Analytics
Predictive Analytics
Optimization Methods for Analytics.
Minimum eligibility to apply: Working professionals holding B.Sc./ M.Sc./ B.E./ MCA/ MBA or equivalent are eligible to apply. Applicants with other qualifications such as B.Com. etc. may apply provided they have done a basic mathematics/ statistics at both 10+2 and Undergraduate level. At least 60% aggregate marks and minimum one year of work experience in relevant domains. The programme is designed for:Analysts who wish to hone their technical skills in Statistics and ITStatisticians who want to pick up programming skills and domain knowledgeIT professionals who need to hone their quantitative knowledge and domain understanding