MBA (Business Analytics)
Course Duration
2 Years
Semester
4
About the Programme
Programme Educational Objectives & Programme Outcomes:
PEO2: Equip graduates with strong analytical, statistical, computational, and GenAI skills to collect, process, analyze, and visualize data for solving real-world business problems.
PEO3: Enable graduates to integrate business domain knowledge with advanced analytics tools and technologies to support strategic, operational, and tactical decision-making.
PEO4: Cultivate effective communication, storytelling, and leadership skills to translate analytical insights into actionable recommendations for diverse stakeholders.
PEO5: Instill ethical awareness, data privacy consciousness, and socially responsible practices in the use of data and analytics for sustainable business and societal outcomes.
Graduates of the program will be able to:
PO2: Use statistical, computational, programming, GenAI, and visualization tools for managerial decision-making.
PO3: Develop predictive and prescriptive analytics models.
PO4: Apply analytics across Marketing, Finance, HR, and Operations.
PO5: Demonstrate ethical and professional responsibility in analytics practice.
PO6: Communicate analytical insights effectively and translate them into business strategies.
PO7: Engage in lifelong learning and adapt to emerging analytics technologies.
Program Structure
(Semester-wise Learning Path)
Semester I – Management & Analytical Foundations
Focus: Core management concepts and quantitative base
Outcome: Development of managerial fundamentals and analytical thinking
Semester II – Core Analytics & Functional Understanding
Focus: Programming, databases, BI tools, and functional exposure
Outcome: Hands-on analytics skills and business process understanding
Semester III – Advanced Analytics & Domain Applications
Focus: Predictive analytics, machine learning, domain analytics, FinTech
Outcome: Application of analytics in real business contexts
Semester IV – Strategic Analytics & Industry Integration
Focus: Strategy, AI-driven decision-making, capstone project
Outcome: Industry-ready analytics professionals
Why MBA (Business Analytics) at PIMR? – USPS
✅Industry-Aligned Curriculum
- Python, R, SQL, Power BI, Tableau
- Machine Learning & Predictive Analytics
- Big Data & AI for Business Decision-Making
✅Management + Analytics Advantage
- Strong foundation in Marketing, Finance, HR & Operations
- Functional analytics: Marketing Analytics, Financial Analytics, HR Analytics
- FinTech
✅Experiential Learning
- Live Industry Projects
- Summer Internship & Capstone Project with analytics exposure
- Real-world datasets, case studies, and analytics labs
✅Career-Oriented Design
- Analytics roles across Consulting, BFSI, IT, FMCG, E-commerce
- Placement-focused skill development
- Career support & analytics workshops
✅Strong Institutional Legacy
- PIMR –First and only private institute in Madhya Pradesh to receive Deemed to be University status
- 30+ years of excellence in education.
- Experienced faculty with doctorate degrees, MoUs with industry
Career Opportunities
Graduates of the MBA (Business Analytics) programme are prepared for high-growth roles such as:
- Business Analyst
- Data Analyst
- Analytics Consultant
- Business Intelligence (BI) Analyst
- Associate Data Scientist (Entry Level)
- Marketing / Finance / HR Analyst
- FinTech Expert
- MIS & Data Warehousing Expert
- AI / ML Business Analyst
Eligibility criteria
Graduation in any discipline with a minimum 50% marks(45% in the case of SC, ST and OBC, excluding the creamy layer category of Madhya Pradesh) in aggregate from any UGC/AICTE-approved Indian university or from a foreign university recognized by the Association of Indian Universities (AIU) or an institute recognized by the concerned university as equivalent thereto. The bachelor’s degree must be a minimum of three years in duration after passing the Higher Secondary (10+2) examination of the (10+2) system or equivalent.
Admission Open
📍Transform Data into Decisions. Build the Future with MBA (Business Analytics) atPrestige Institute of Management & Research (PIMR), Indore
Apply Now
🌐 Website:www.pimrindore.ac.in
📧 Email: directoradmissions@pimrindore.ac.in
📞 Admissions Office: 7869999297, 8103129701, 7869955141, 7869955427,7869955422,7869955145
Admission Procedure
Kindly refer PIMR Indore Deemed to be University’s Admission Policy.