Admissions Open: M.Sc. in Data Science & Management (MSDSM) – 2026 Batch

Praveen Prasad
2 Min Read

Indian Institute of Management Indore and Indian Institute of Technology Indore jointly invite applications for the 6th batch of the two-year Master of Science in Data Science and Management (MSDSM) programme. This programme is ideal for graduates and working professionals who wish to build strong expertise in data science along with managerial skills.

Data Science & Management Programme Highlights

  • Two-year degree programme
  • Blend of data science, analytics, and management
  • Online classes begin from 12 August 2026

Data Science & Management Eligibility Criteria

Qualifying Degree:
First-class degree in any of the following:
B.Tech / B.E. / B.S. / B.Pharm / B.Arch / B.Des / B.FTech / Four-year B.Sc. / M.Sc. / MCA / MBA
OR
Candidates must have completed at least two courses in Mathematics and one course in Computer Programming at the qualifying degree level.

Qualifying Examination:
Valid score in CAT / GATE / GMAT / GRE / JAM (within last 3 years),
OR appear for DMAT (Data Science and Management Aptitude Test).

DMAT Schedule

  • Phase 1: 29 March 2026
  • Phase 2: 07 June 2026
  • Mode: Online or Offline (offline only at IIT Indore campus)

Data Science & Management Important Dates

  • Last date to apply:
    • Phase 1: 19 March 2026
    • Phase 2: 01 June 2026

How to Apply for Data Science & Management Programme

Visit: https://msdsm.iiti.ac.in

Contact Details

📞 0731-2439736 / 666
📞 0731-6603333 – 3128 / 5593
📧 msdsm-office@iimidr.ac.in
📧 msdsm-office@iiti.ac.in

Build your future in Data Science with two of India’s premier institutions. Apply now!

Is this conversation helpful so far?

Share this Article
P. N. Prasad is a dedicated education consultant and career blogger with over 5 years of experience tracking Indian government job notifications, exam patterns, and sarkari results. He specializes in analyzing staff selection commission updates and helping students navigate complex online application processes accurately.