Programme Structure

  • Induction
  • Core Courses
  • Elective Courses
  • Industry Project

Content of the Programme 

Core & Elective courses

Term I (Core Courses)

Sl No

Course Name

Credits

1

Financial Reporting and Analysis

1

2

Marketing Management

1

3

Communication for Managers

1

4

Business Statistics

1

 

Total

4

 

Term II (Core Courses)

Sl No

Course Name

Credits

1

Management Accounting

1

2

Advanced Analytics - I

1

3

Behaviour in Organizations

1

4

Managerial Economics

1

 

Total

4

 

Term III (Core Courses)

Sl No

Course Name

Credits

1

Advance Analytics - II

1

2

Designing Work Organizations

1

3

Operations Management

1

4

Management Information Systems

1

 

Total

4

 

Term IV (Core Courses)

Sl No

Course Name

Credits

1

Financial Management

1

2

Strategic Management

1

3

Legal Aspects in Management

1

4

Macroeconomic Environment

1

 

Total

4

 

Term V (Core & Elective Courses)

Sl No

Course Name

Credits

1

Human Resources Management

1

2

Quantitative Decision Making

1

3

Elective I

1

4

Elective II

1

 

Total

4

 

Term VI (Elective Courses)

Sl No

Course Name

Credits

1

Elective III

1

2

Elective IV

1

3

Elective V

1

4

Elective VI

1

 

Total

4

 

Term VII (Elective Courses)

Sl No

Course Name

Credits

1

Elective VII

1

2

Elective VIII

1

3

Elective IX

1

4

Project Presentation and Final Submission (This will start from Term V and the final submission will take place in Term VII)

3

 

Total

6

 

Grand Total

30

 

Elective Courses List

Sl No

Course Name

Credits

1

E-Commerce

1

2

Blockchain

1

3

Internet of Things (IoT)

1

4

Business Intelligence & Data Mining

1

5

Business Forecasting & Analytics

1

6

Big Data Analytics

1

7

Artificial Intelligence & Applications

1

8

Digital Marketing Analytics & Optimization

1

9

Programming in Python and R

1

10

Financial Analytics

1

11

Supply Chain Analytics

1

12

People Analytics

1

13

Customer Analytics and Artificial Intelligence

1

14

Healthcare Analytics

1

15

Predictive Analytics for business

1

16

Data Analytics and Statistical Computing

1

17

Analytics for Strategy

1

18

Analytical Decision Modelling

1

19

Cloud Technology & Security

1

*More Electives may be added based on experts’ opinion.

1 credit = 30 hours

 

Classes Schedule

Classes shall be conducted in the following schedule on Fridays, Saturdays, and Sundays every week.

Day

Timings

Friday

6:30 PM to 9:45 PM

Saturday

3 PM to 9:45 PM

Sunday

10 AM to 1:15 PM

 In addition to the above-mentioned slots, the classes for elective courses may be scheduled on Saturday mornings (10 AM to 1:15 PM) and Sunday Evenings (3 PM to 6:15 PM).