IIM Nagpur Data Science — Programme Overview
The PG Certificate in Data Science for Business Excellence and Innovation by IIM Nagpur is a 6-month executive programme covering business analytics, data science, and AI for business decisions. ~₹1.75L + GST. Online with IIM Nagpur campus. AACSB accredited, NIRF #25. IIM Nagpur alumni status.
IIM Nagpur
Blended MBA for Working Professionals
₹12,10,000 + GST
2 Years
MBA Degree · UGC-DEB
AACSB Accredited
Programme Snapshot
| Detail | Specification |
|---|---|
| Institution | IIM Nagpur (AACSB · NIRF #25 Management) |
| Duration | 6 months |
| Fee | ~₹1,75,000 + GST |
| Coding required | No — business analytics focus |
| Format | Online + IIM Nagpur campus |
| Output | PG Certificate + IIM Nagpur alumni status |
What You Learn
- Business analytics fundamentals: data interpretation, statistical thinking for managers
- Predictive analytics: understanding regression, classification, forecasting concepts
- Business intelligence tools: dashboard design, KPI frameworks, data storytelling
- GenAI for business: ChatGPT, Copilot applications for management decisions
- Data strategy: building data-driven culture in organisations
- Decision frameworks: using data to make and justify business decisions
IIM Nagpur DS vs IIM Kozhikode Analytics — Head-to-Head
| Factor | IIM Nagpur Data Science | IIM Kozhikode Analytics & GenAI |
|---|---|---|
| IIM | IIM Nagpur (AACSB) | IIM Kozhikode (EQUIS+AMBA, NIRF #3) |
| Fee | ~₹1.75L | ~₹2.1L |
| Duration | 6 months | 6-8 months |
| Focus | Data science for business excellence | Analytics + Generative AI strategy |
| Brand | IIM Nagpur | IIM-K — stronger national brand |
| Best for | Budget-conscious, IIM Nagpur alumni network | Stronger IIM brand, GenAI focus |
Who Should Choose IIM Nagpur Data Science?
Best for: professionals who want IIM credentials + data analytics at the most affordable IIM price point (~₹1.75L); those for whom IIM Nagpur's Maharashtra/Nagpur network is relevant; managers wanting data literacy without the IIM-K premium. Not suitable for: professionals who want to write code, build ML models, or need deep technical data science depth.