
The MBA in Business Analytics is a two-year programme designed to equip students with the skills required to leverage data, analytics, and artificial intelligence for effective decision-making in modern organisations. In today’s dynamic business environment, companies rely on both current and historical data to understand trends, optimise processes, and identify new business opportunities.
The programme focuses on developing expertise in data analysis, business intelligence, and analytics-driven strategy, enabling students to interpret complex datasets and generate actionable insights. It covers the application of analytics tools and techniques across business functions, helping organisations respond to changing customer needs and market conditions.
With a strong emphasis on the growing role of data in decision-making, the curriculum prepares students to analyse patterns, uncover insights, and support strategic planning at various organisational levels. Admission to the programme is based on a competitive examination, ensuring a high-quality learning cohort.
Graduates are prepared for roles in business analytics, data-driven consulting, and strategic decision-making, making them valuable contributors in data-centric industries.
• Course Level:
PG
• Stream:
Management
• Specialization:
General Management
• Eligibility
Bachelor’s degree with minimum 50% marks
Mathematics/Statistics at 10+2 level
Mathematics/Statistics at graduation level preferred
Final-year students eligible
• Entrance Exams Accepted
• Process
Online application submission
Shortlisting based on CAT score
Selection rounds: Group Discussion (GD), Writing Ability Test (WAT) / Extempore, Personal Interview (PI)
Final selection based on: CAT score, Academic profile, Work experience, Interview performance
• Application Deadline
Around December
# 15 ( As per NIRF )
# 59 ( As per NIRF 2025 (Management Category 2024) )
This program focuses on advanced quantitative methods for business decision-making. It emphasizes statistical modeling, data analysis, and optimization techniques. It prepares students for highly analytical roles.
Graduates can work as data analysts, quantitative analysts, or consultants. Opportunities exist across industries such as finance, consulting, and technology. It offers strong demand.
It focuses more on mathematical and statistical techniques rather than business applications alone. This provides deeper analytical capabilities. It is more technical in nature.
Students work on real-world datasets and analytical models. Case studies are widely used. This enhances practical understanding.
Basic coding knowledge is helpful but not mandatory. The program teaches necessary tools. Focus is on application.
Students develop strong quantitative and analytical skills. Problem-solving improves. It builds a data-driven mindset.
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