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MBA in Business Intelligence

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About Program

MBA in Business Intelligence is offered by School of Management Studies and is a two years full time master's level program for the aspirants wishing to focus on Business Analytics and Data Science. The curriculum of the MBA program is a blend of conventional courses and modern business analytic tools. The knowledge acquired through this course can attain skills like pattern analysis and data modelling, while also learning to present findings in an understandable global context to the students. The MBA in Business Intelligence course is designed for the development of professionals in the world of business analytics.
With a rapid increase in the latest technology and rigorous requirements of digital data in today’s business world, the concept of “Big Data” has been introduced. To work with huge data, it becomes very important to cultivate the skills to play with data and for which it is necessary to have knowledge regarding Data Analytics, Business Analytics and Business Intelligence.
The perspective of this course is to teach the BI aspirants to solve business problems which occur due to huge sets of data. Those who want to dig deep into Data and Business Analytics will be benefited more from Business Intelligence master's program. Career opportunities include jobs as Data Analysts, Business Analysts, Financial Analysts, Database Analysts, Consultants, Managers, Statisticians, Database Administrators and IT Professionals.




2 Years (4 Semester)


Eligibility Criteria

Bachelor’s degree in any stream with at least 55% for General/OBC/EWS category candidates and 50% or equivalent for SC/ST and PwD category candidates.


Course Fee

Rs. 60,000/- Per Semester + Other University fees


Number of Seats

20 Seats


Course Outline

Semester – I
Paper – 1: Principles of management
Paper – 2: Corporate Communication & Organizational Behaviour
Paper – 3: Accounting for managers
Paper – 4: Managerial economics
Paper – 5: Introduction to Forensic Science and Law
Paper – 6: Introduction to Business Intelligence
Semester – II
Paper – 1: Management process
Paper – 2: Digital Forensics
Paper – 3: Business Analytics & statistics
Paper – 4: Data Management & Visualization
Paper – 5: Introduction to Python & R
Paper – 6: Quantitative Techniques and Research Methodology
Semester – III
Paper – 1: Risk Management
Paper – 2: Data Science & Machine Learning
Paper – 3: Big Data Analytics
Paper – 4: Data Mining
Paper – 5: Entrepreneurship
Paper – 6: Minor Project
Semester – IV
Internship / Project / Dissertation


New course from September, 2021.


Information Brochure