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Bachelor degree in any discipline with at least 55% marks from recognised University / Institution with Mathematics / Statistics / Quantitative Techniques as one of the subjects at 10+2 or Graduation Level.
Graduates of recognised professional programs like CA / ICWA / CS etc. are also eligible to apply.
This cutting-edge MBA program blends advanced business principles with analytical expertise, providing a strategic framework for navigating the dynamic landscape of data-driven decision-making. Delve into statistical modeling, data mining, and predictive analytics, gaining a profound understanding of how to leverage data to drive organisational success. Equip yourself with the skills to interpret complex data sets, optimise business processes, and make informed decisions in today's highly competitive business environment.
| Subjects | Credits |
|---|---|
|
Statistical Analysis for Business Decisions |
4 |
|
Business Analytics |
4 |
|
Decision Science |
4 |
|
Spreadsheet Modeling and Analysis |
4 |
|
Introduction to Business Analytics |
4 |
|
TOTAL |
20 |
| Subjects | Credits |
|---|---|
|
Multivariate Data Analysis |
4 |
|
Business Research Methods |
4 |
|
Quantitative Aptitude and Data Interpretation |
4 |
|
Advance Python Programming |
4 |
|
Data Mining |
4 |
|
TOTAL |
20 |
| Subjects | Credits |
|---|---|
|
Predictive & Descriptive Analytics |
4 |
|
Data Analysis for Business Decisions |
4 |
|
Advance R Programming |
4 |
|
Data warehousing and visualization |
4 |
|
Big Data Analytics and tools |
4 |
|
TOTAL |
20 |
| Subjects | Credits |
|---|---|
|
Planning Analytics |
4 |
|
Sectoral Analytics |
4 |
|
Business Forecasting & Time series |
4 |
|
Predictive Modeling |
4 |
|
Machine Learning |
4 |
|
TOTAL |
20 |
| S.N | Course Name |
|---|---|
| 1 | Marketing Analytics / Advertising and Brand Management |
| S.N | Course Name |
|---|---|
| 1 | Human Resource Analytics and Organisation Change & Development |
| S.N | Course Name |
|---|---|
| 1 | Export Import Documentation and International Economics |
| S.N | Course Name |
|---|---|
| 1 | Entrepreneurial Strategies-I and Social Entrepreneurship |
| S.N | Course Name |
|---|---|
| 1 | Spreadsheet Modeling and Analysis |
| 2 | Introduction to Business Analytics |
| 3 | Advance Python Programming |
| 4 | Data Mining |
| 5 | Advance R Programming |
| 6 | Data warehousing and visualization |
| 7 | Big Data Analytics and tools |
| 8 | Business Forecasting & Time series |
| 9 | Predictive Modelling |
| 10 | Machine Learning |
| 11 | Database Management using SQL |
| MBA Business Analytics | SEM 1 | SEM 2 | SEM 3 | SEM 4 |
| Course Fee (Discounted) | 45,000 | 45,000 | 45,000 | 45,000 |
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An MBA in Business Analytics is a postgraduate management program that blends traditional business administration skills with data analytics, statistical modeling, and decision-making tools. It equips students to analyse complex data, generate insights, and support strategic business decisions.
Most universities require applicants to hold a bachelor’s degree in any discipline from a recognized institution, with at least 50% aggregate marks. Some institutions may also require entrance exams (like CAT, MAT, GMAT, or university-specific tests) and/or relevant work experience.
The curriculum usually includes core management subjects along with analytics-focused courses such as:
Graduates can pursue roles like:
These roles are in demand across industries including IT, banking, consulting, healthcare, and e-commerce.
The scope is expanding rapidly due to the rising importance of data-driven decision making. Graduates often secure high-growth roles, with starting salaries in India typically ranging between ₹6–12 LPA depending on industry, experience, and institute. With expertise and experience, professionals can advance into leadership roles in analytics and strategy.