MSc DSA (MSCDSA) · 2026

M.Sc. Data Science & Analytics

21 courses (80 credits)

SEM 1
Study Schedule
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Assignment
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Programme Guide
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Counselling Sessions | Practical Attendance (75% compulsory)
Sem I: 24 theory / 40 practical
Sem II: 24 theory / 40 practical
Sem III: 24 theory / 40 practical
Sem IV: 12 theory + 4 project discussions

Continuous evaluation: assignments 30% + term-end 70% (min 40% each)

Lab courses: practical records + viva (20%) + assignment questions.

Exit option | PGDip

After completing 40 credits (sem I+II) → eligible for PG Diploma in Data Science & Analytics (as per NEP).