MBA Business Analytics
The School has launched a two year MBA in Business Analytics programme with an intake of 30 students from the academic year 2017-18. The program is spread over four semesters. The programme will be offered with the help of School of Economics, School of Computer and Information Sciences, School of Mathematics and Statistics, CR Rao Advanced Institute of Mathematics, Statistics and Computer Science and Industry. The course includes the basic foundation subjects of Management that include Management Concepts and Approaches, Finance, Marketing, Human Resource Management, Operations and Business Analytics subjects like Statistics for Business Analytics, Business Analytics for Decision Making, Machine Learning, Marketing and Retail Analytics, Big Data, Financial Analytics, Econometrics, HR Analytics, Manufacturing and Supply Chain Analytics etc. Lab sessions are also included in the course.
Highlights of the Programme
- Curriculum is spread over foundation and core courses related to Management, Information Technology and Analytics in the ﬁrst year and emphasis is placed on courses related to advanced Business Analytics in the second year.
- Course curriculum developed by seeking inputs from industry professionals and academicians
- Self-awareness and growth lab for personal effectiveness.
- 8-10 weeks of summer internship to understand the working environment of the analytics industry.
- Final project under the supervision of a Faculty guide along with an industry
Course Curriculum and Programme Delivery
The course curriculum was developed with active collaboration / involvement of industry professionals to provide the students with state of the art knowledge and practical orientation in the ﬁeld of business analytics and management. The pedagogy included case studies, presentations, role-plays, computer lab sessions etc. apart from the regular class room teaching.
Besides the regular class room teaching, the School also arranges Guest lectures on various management and analytics topics by industry as well as academic experts in the relevant areas.
Summer Internship and Project Work
The students are required to get practical exposure by undertaking eight weeks internship in an organization during the summer intervening between the second and third semesters. These internships are intended to familiarize the students with current developments in the area of Business Analytics along with the management practices, work environment and organizational culture. The students also undertake a long term research project during the final year. It is intended to their analytics skills enabling them to join organizations
The School practices a system of continuous evaluation and feedback. Students are required to be regular for classwork and meet the requirements of attendance as per University rules. Students are continuously evaluated through internal examinations, assignments, project works, presentations, case discussions which constitute the predominant method of evaluation.
School facilitates placements through a faculty placement coordinator. Placement activity is also strengthened by the University's Placement Guidance and Advisory Bureau (PGAB).
YEAR - 1
|Sr.no||Semester - 1||Semester - 2|
|1.||Principles of Management||Econometrics and Business Forecasting|
|2.||Organizational Behaviour & HRM||Financial Management|
|3.||Accounting for Managers||Marketing Research|
|4.||Fundamentals of Marketing Management||Operations Research|
|5.||Statistics for Business Analytics||Operations & Supply Chain Management|
|6.||Data Management||Data Warehousing and OLAP|
|7.||Essentials of Business Analytics||Data Mining & Machine learning|
|8.||Business Economics||Data Visualization|
YEAR - 2
|Sr.no||Semester - 3||Semester-4|
|1.||Strategic Management||Spread Sheet Modelling|
|2.||Business Communication||Legal & Ethical Aspects of Business Analytics|
|3.||Predictive Analytics||Risk Management|
|4.||Text, Social Media & Web Analytics||Elective 4 - IV|
|5.||Big Data & Hadoop||Elective 5 - V|
|6.||Course to be taken from other schools||Project Work|
|7.||Elective 1 - II|
|8.||Elective 2 - II|
|9.||Elective 3 - III|