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MBA in Business Analytics

The MBA in Business Analytics equips students to lead in a data-driven business environment. The curriculum spans predictive modelling, machine learning, cloud platforms, SQL-based data management, BI tools, consulting frameworks, and emerging technologies such as GenAI, NLP, MarTech, and blockchain. Students gain extensive hands-on experience through internships, capstone consulting projects, industry bootcamps, and real-world analytics scenarios.

Image by Michael Marsh

Program Outcomes

  • Ability to translate data into actionable business insights using analytics, visualisation, and ML tools.

  • Readiness to design and implement data-driven strategies across industries.

  • Proficiency in emerging technologies including GenAI, NLP, cloud platforms, and blockchain.

  • Industry-ready through internships and capstone consulting engagements.

Program Scope

  • Builds analytical, technical, and strategic skills across BI consulting, predictive modelling, cloud infrastructure, and data science methodologies.

  • Covers specialised analytics domains such as BFSI, supply chain, healthcare, cybersecurity, MarTech, and blockchain.

  • Hands-on exposure through real-world client-style consulting projects and industry-aligned training.

Program Eligibility

10+2 or equivalent; final eligibility to be confirmed. (As stated in the document.)
Entrance test optional if MHTCET / CUET / other national/state exam taken.

Course Structure

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