Master of Science (Business Analytics)
Program Vision:
To be a leading master's program in Business Analytics, producing experts who use data-driven insights to make innovative decisions and take meaningful action in a complex global business environment.
The MS Business Analytics program aims to equip graduates with advanced analytics tools, statistical methods, and machine learning techniques to solve complex business problems. Emphasizing ethical, data-driven decision-making, sustainability, and a culturally informed approach, the program inspires innovation, entrepreneurial action, and sustainable business improvement, preparing business analysts who drive digital transformation and create meaningful value for society.
Career Opportunities:Graduates of Master of Science (Business Analytics) program can find a number of pathways to choose from, such as business analytics consultants, operations analysts, people analysts, financial analysts, market or consumer analysts, business intelligence analysts, analytics consultants, and product or strategy analysts. The program prepares graduates with a computer science background to transition into strategic management roles by gaining business knowledge, while enabling those with a business background to move into data-driven leadership positions by developing technical analytics skills.
Award of Degree:For the award of Master of Science (Business Analytics) degree, a student must have:
- Passed courses totaling at least 43 credit hours.
- Obtained a CGPA of at least 2.50.
For Business graduate
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 1 |
||
| 1 | CS4089 Programming for Business Applications | 3+0 |
| 2 | BA5005 Applied Calculus for Business | 3+0 |
| 3 | CS5059 Database Systems | 3+0 |
| 4 | BA5006 Advanced Data Analysis | 3+0 |
| Total | 12 + 0 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 2 |
||
| 1 | MG5011 Advanced Research Methods | 3+0 |
| 2 | MG5047 Decision Science for Business | 3+0 |
| 3 | BA5004 Machine Learning Models for Business Analytics | 3+1 |
| Total | 9 + 1 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 3 |
||
| 1 | MG5055 Ethics in Business Analytics | 3+0 |
| 2 | MG5050 Econometrics | 3+0 |
| 3 | BA5xxx MG/AF/BA/CS Elective-I | 3+0 |
| 4 | BA5xxx/BA5094 MG/AF/BA/CS Elective-II/MS Dissertation-I | 3+0 |
| Total | 12 + 0 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 4 |
||
| 1 | BA5002 Data Driven Decision Making and Optimization | 3+0 |
| 2 | BA5xxx Elective – III | 3+0 |
| 3 | BA5090/BA5095 MS Project/MS Dissertation-II | 3+0 |
| Total | 9 + 0 | |
For Non-Business graduate
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 1 |
||
| 1 | AF4010 Accounting and Finance for Managers* | 3+0 |
| 2 | MG4010 Marketing | 3+0 |
| 3 | MG4006 Management & Organizational Behaviour* | 3+0 |
| 4 | BA5006 Advanced Data Analysis | 3+0 |
| Total | 12 + 0 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 2 |
||
| 1 | MG5011 Advanced Research Methods | 3+0 |
| 2 | MG5047 Decision Science for Business | 3+0 |
| 3 | BA5004 Machine Learning Models for Business Analytics | 3+1 |
| Total | 9 + 1 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 3 |
||
| 1 | MG5055 Ethics in Business Analytics | 3+0 |
| 2 | MG5050 Econometrics | 3+0 |
| 3 | BA5xxx MG/AF/BA/CS Elective-I | 3+0 |
| 4 | BA5xxx/BA5094 MG/AF/BA/CS Elective-II/MS Dissertation-I | 3+0 |
| Total | 12 + 0 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 4 |
||
| 1 | BA5002 Data Driven Decision Making and Optimization | 3+0 |
| 2 | BA5xxx Elective – III | 3+0 |
| 3 | BA5090/BA5095 MS Project/MS Dissertation-II | 3+0 |
| Total | 9 + 0 | |
*May be exempted for graduates with an undergraduate degree in the areas specified in the eligibility criteria.
Note 1: Total: 43
Note 2: Registration in “MS Dissertation-I” is allowed provided the student has:
- Earned at least 18 CH
- Passed the “Advanced Research Methods” course AND
- CGPA is equal to or more than 2.50