IIT Mandi Invites Applications for MBA in Data Science and Artificial Intelligence for the 2026–28 Batch
IIT Mandi's School of Management (SOM) has officially opened applications for the 2026–28 batch of its flagship MBA in Data Science and Artificial Intelligence (DS&AI). This program is specifically designed to bridge the gap between traditional management and the rapidly evolving AI landscape.
Key Highlights & Career Outcomes
The program has quickly gained traction in the industry due to its technical rigor and strong placement performance.
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Exceptional Placements: The recent batch recorded an average CTC of ₹18 LPA, with the highest package reaching ₹49 LPA.
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Top Recruiters: Companies from BFSI, Consulting, Analytics, and Technology sectors, including firms like Amazon, Adobe, Walmart, and Goldman Sachs, have participated in previous drives.
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Curriculum: Features elective clusters such as Generative AI for Managers, AI-driven Financial Decision Making, and AI for Marketing.
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Tech-Ecosystem: Students gain access to IIT Mandi’s technology incubator, Catalyst, and state-of-the-art analytics labs.
Eligibility & Admission Categories
Candidates can apply through two distinct pathways. Note: All applicants must have studied Mathematics in Class 12.
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Category |
Requirement |
Eligibility Criteria |
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Category 1 (CAT) |
CAT 2025 Scores |
Bachelor's degree with 60% marks (55% for SC/ST/OBC-NCL). |
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Category 2 (Exempted) |
Non-CAT Pathway |
Graduates from CFTIs (e.g., IITs, NITs) or Top 100 NIRF institutes with a minimum 6.5 CGPA/65% marks. |
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Foreign/NRI Candidates: Eligible with a valid GMAT score.
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Selection Process: Shortlisted candidates will undergo a Personal Interview (PI), typically conducted in March.
Application Details
The application window is relatively short, closing in late January.
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Application Portal: som.iitmandi.ac.in
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Important Dates:
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Applications Open: December 24, 2025
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Application Deadline: January 27, 2026
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Application Fee:
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General/OBC(NCL)/EWS (Male): ₹2,400
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General/OBC(NCL)/EWS (Female): ₹1,200
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SC/ST/PwD: ₹1,200
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Why Choose This Program?
Unlike traditional MBAs, this program emphasizes a "practicum" approach where students work on live industry projects under the mentorship of AI experts. It aligns with the National Education Policy (NEP) 2020 by offering multidisciplinary learning that combines data engineering with strategic business leadership.
