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MBA Business Analytics is a master’s program that takes two years to complete and has an emphasis on data, quantitative methods, and business intelligence. The curriculum offered comprises areas such as statistical analysis, optimization, data mining, data visualization, and machine learning to equip the students with a variety of technical skills. Analytical perspectives on core business topics such as marketing, finance, operations, and strategy are also incorporated.
It takes 2 years to complete the full-time MBA Business Analytics program in case the candidate studies full time. However, there are also fast-track 1-year programmes and part-time programmes that may take 3-4 years to complete. Most MBA Business Analytics programs use GMAT and GRE as entrance examination tools in determining the student’s suitability for the program. Generally, a good score in GMAT or GRE coupled with good academic credentials is a must. The work experience is also taken into account but not necessarily required. The other requirements for admission can include essays, letters, and recommendations as well as interviews at certain stages. Higher marks in quantitative sections of entrance exams are appreciated because business analytics involves a lot of analytical work.
| Feature | Details |
|---|---|
| Full Form | Master of Business Administration in Business Analytics |
| Duration | Typically 2 years |
| Course Level | Postgraduate |
| Eligibility | Bachelor's degree in any discipline with a good academic record |
| Top Colleges | Indian Institutes of Management (IIMs), Indian School of Business (ISB), XLRI Jamshedpur, SP Jain Institute of Management and Research, Great Lakes Institute of Management |
| Entrance Exam | CAT, GMAT, XAT, CMAT, or other management entrance exams |
1. An applicant must have a Bachelor’s degree in any discipline with minimum 50% marks from a recognized university.
2. Most of the institutes accept CAT/MAT/XAT scores as valid or any other national level management entrance test.
3. Minimum 2 years post qualification work experience for candidates possessing engineering background.
4. Able to analyze data and solve problems related with Mathematics and Statistics and work effectively with computer software such as excel.
5. Clear communication and leadership skills for interpreting business environments.
6. Desire to engage with data to identify opportunities and make rational business decisions.
| Subject Area | Important Topics |
|---|---|
| Statistics and Probability | Descriptive statistics, probability theory, statistical inference, hypothesis testing, regression analysis |
| Data Mining and Analysis | Data preprocessing, data exploration, data mining techniques, clustering, classification, association rule mining |
| Machine Learning | Supervised learning, unsupervised learning, reinforcement learning, model evaluation, algorithm implementation |
| Business Intelligence | Data warehousing, OLAP, data visualization, dashboards, reporting |
| Predictive Analytics | Forecasting, time series analysis, risk modeling, decision trees, neural networks |
| Big Data Analytics | Hadoop, Spark, NoSQL databases, cloud computing, data engineering |
| Specialization | Job Roles | Average Salary (INR Lakhs per annum) |
|---|---|---|
| Data Analytics | Data Analyst, Business Analyst, Market Research Analyst | 6-12 |
| Data Science | Data Scientist, Machine Learning Engineer, Data Engineer | 8-15 |
| Business Intelligence | Business Intelligence Analyst, BI Developer | 6-10 |
| Predictive Analytics | Predictive Modeler, Statistician | 7-12 |
| Marketing Analytics | Marketing Analyst, Digital Marketing Analyst | 6-10 |
| Financial Analytics | Financial Analyst, Risk Analyst | 7-12 |
| Operations Analytics | Operations Analyst, Supply Chain Analyst | 6-10 |
