PG Certification in Data Science and Business Analytics
Transform Data into Strategic Business Value.
A 12-month, career-defining program developed by IIM faculty and data science experts. Master analytics, visualization, and business intelligence tools to drive data-led decisions across industries.
Cohort Info
- Program Duration: 12 Months (220 Days)
- Next Cohort Launch: 1st October 2025
- Application Deadline: 15th September 2025
Key Highlights
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Course Highlights
- Program Duration: 10 Months
- Number of Projects: 6 Applied Projects + 1 Capstone
- Live Sessions: 160 Hours (Instructor-Led)
- Self-Paced Learning: 80 Hours of structured assignments
- Credit Load: 18 Academic Credits
- Mode of Learning: Online ILT + Virtual Labs (Hybrid Optional)
- Language of Instruction: English
About Program
Course Curriculum
Modules designed to meet current industry standards.
01
Foundation of Analytics & Business Strategy
02
Applied Statistics & Exploratory Data Analysis
03
Machine Learning for Business (Supervised + Unsupervised)
04
Visualization & Data Storytelling (Tableau, Power BI)
05
Business Simulation Labs (Marketing, Finance, Operations)
06
Capstone Project: Real Business Problem + Presentation
What You’ll Learn
Essential Skills & Tools for Leading Projects in the Digital Age







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Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Aparna S.
Product Owner (NBFC, Digital Payments)
I joined in order to transform buzzwords into delivery.” The Banking Sandbox was the difference; I mapped the stakeholder handoffs and prototyped a tokenized refund flow with simple smart-contract logic. The executive hybrid format worked for my release schedule. We were honest about controls and audit trails—not just demos—during the 144 hours of live instruction. Although we’re still improving, our incident and chargeback playbooks are now more transparent.
Raghav M.
Risk & Compliance Analyst (BFSI)
Tech and regulation were linked in the curriculum. I was able to create rule sets that we could actually uphold with the aid of risk-modeling labs and case work on KYC/AML scenarios. I created a workflow for gathering evidence and a small dashboard for alerts, which our reviewers used. I’m not a developer because of the blockchain projects, but I can assess vendors more critically and schedule changes to comply with regulations.
Zoya K.
CS final-year student
I wasn’t content with theory. I completed three small projects in the Blockchain Lab: a dashboard for transaction metrics, a simple smart contract with unit tests, and a payments mock on a testnet. In addition to code, the mentors pushed for documentation and threat assumptions. I’ve been shortlisted for two product/engineering internships because I can explain design trade-offs, and my GitHub now displays end-to-end work.
Naveen T.
FinTech Analyst, MBA in Finance
Since I’m not a programmer, I relied on the business-first framing and executive hybrid schedule. I was able to create a strong business case for a lending workflow by using the six implemented FinTech use cases, which covered costs, risks, and the areas where blockchain adds value (and where it doesn’t). While I was in charge of compliance and metrics, my classmate, who worked on the contract code, co-authored our capstone. Interviews were easier because I could display results rather than just slides.
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Aparna S.
Product Owner (NBFC, Digital Payments)
I joined in order to transform buzzwords into delivery.” The Banking Sandbox was the difference; I mapped the stakeholder handoffs and prototyped a tokenized refund flow with simple smart-contract logic. The executive hybrid format worked for my release schedule. We were honest about controls and audit trails—not just demos—during the 144 hours of live instruction. Although we’re still improving, our incident and chargeback playbooks are now more transparent.
Raghav M.
Risk & Compliance Analyst (BFSI)
Tech and regulation were linked in the curriculum. I was able to create rule sets that we could actually uphold with the aid of risk-modeling labs and case work on KYC/AML scenarios. I created a workflow for gathering evidence and a small dashboard for alerts, which our reviewers used. I’m not a developer because of the blockchain projects, but I can assess vendors more critically and schedule changes to comply with regulations.
Zoya K.
CS final-year student
I wasn’t content with theory. I completed three small projects in the Blockchain Lab: a dashboard for transaction metrics, a simple smart contract with unit tests, and a payments mock on a testnet. In addition to code, the mentors pushed for documentation and threat assumptions. I’ve been shortlisted for two product/engineering internships because I can explain design trade-offs, and my GitHub now displays end-to-end work.
Naveen T.
FinTech Analyst, MBA in Finance
Since I’m not a programmer, I relied on the business-first framing and executive hybrid schedule. I was able to create a strong business case for a lending workflow by using the six implemented FinTech use cases, which covered costs, risks, and the areas where blockchain adds value (and where it doesn’t). While I was in charge of compliance and metrics, my classmate, who worked on the contract code, co-authored our capstone. Interviews were easier because I could display results rather than just slides.
Designed for Ambitious Professionals
- Data Analyst
- Business Analyst
- Analytics Manager
- BI Specialist
30- 60% Average Hike
Post Course Completion
Entry (0–2 years): ₹6–10 LPA
Mid (2–5 years): ₹12–20 LPA
Leadership (5+ years): ₹25 LPA+
Designed for Ambitious Professionals
- Data Analyst
- Business Analyst
- Analytics Manager
- BI Specialist
30- 60% Average Hike
Post Course Completion