- Induction
- Core Courses
- Elective Courses
- Industry Project
Content of the Programme
Core & Elective courses
|
Term I (Core Courses) |
||
|---|---|---|
|
Sr. 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) |
||
|---|---|---|
|
Sr. 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) |
||
|---|---|---|
|
Sr. 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) |
||
|---|---|---|
|
Sr. 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) |
||
|---|---|---|
|
Sr. 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) |
||
|---|---|---|
|
Sr. 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) |
||
|---|---|---|
|
Sr. 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 |
||
|---|---|---|
|
Sr. 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).