- 01141185717
Bachelor degree in any discipline with at least 55% marks from recognized University/ Institution with Mathematics/Statistics/Quantitative Techniques as one of the subjects at 10+2 or Graduation Level.
Graduates of recognized professional programmes 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 organizational success. Equip yourself with the skills to interpret complex data sets, optimize 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 | 50,000 | 50,000 | 50,000 | 50,000 |
Annual Fee | 1,00,000 | 1,00,000 |