Rahul Sengupta
Program Director
Former Head of Data at a logistics platform; 10+ years building data teams.
Data Science · Career Track
Applied Data Science
From messy data to deployed models — the full applied-DS workflow.
Duration
9 months
Format
Online
Fee
₹2,40,000
Next start
Next cohort: 5 October 2026
Curriculum
A 9 months arc, term by term.
- Term 1 (10 weeks)
Data foundations
- SQL deep dive
- Python for analysis
- Statistics for decisions
- Storytelling with data
- Term 2 (10 weeks)
Machine learning
- Supervised models
- Feature engineering
- Model evaluation
- Causal inference basics
- Term 3 (10 weeks)
Production
- MLOps essentials
- Monitoring & drift
- A/B testing
- Capstone
Eligibility
Who this program is for
- Bachelor's degree in any discipline
- Basic familiarity with spreadsheets and SQL
- Comfort with quantitative reasoning
Fees & financing
Transparent pricing
- Total fee
- ₹2,40,000
- EMI from
- ₹7,200/mo
- Scholarships
- Up to 60% via HAT
Outcomes
What you'll be able to do.
- Build end-to-end data pipelines with modern tools
- Frame and solve real business problems with ML
- Communicate findings to non-technical stakeholders
- Deploy and monitor models in production
Faculty
Practitioners, not lecturers.
Dr. Neha Bhatt
Lead Faculty
Statistician and applied researcher with a focus on causal methods.
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