PG in Data Science & AI
A 12-month applied PG that takes you from comfortable-with-Python to job-ready ML engineer — heavy on hands-on projects, light on slides, with a portfolio you take to interviews and a capstone supervised by a working data scientist.
Program highlights
- ✓Project-every-month — 10+ end-to-end portfolio pieces
- ✓Live Kaggle-style competitions inside the cohort
- ✓1:1 capstone mentorship from a working data scientist
- ✓Dedicated career sprint with mock interviews
Who is this for?
Software engineers, analysts and STEM graduates 1–6 years into their career who want to move into data scientist, ML engineer, MLOps or applied AI roles. Helpful if you already know basic programming; not required to know ML.
What you'll learn
Python for data, statistics and probability, classical ML (regression, trees, ensembles), deep learning with PyTorch (CNNs, RNNs, transformers), NLP fundamentals, computer-vision basics, MLOps essentials (Docker, FastAPI, basic deployment), and a 12-week capstone solving a real business problem with messy real data.
Frequently asked questions
Is this a degree or a diploma?▾
Most PG programmes in this category are post-graduate diplomas or executive certificates rather than full PG degrees. They are designed for career outcomes — not for further academic study like a PhD — and are widely accepted by industry employers.
What's the project / capstone like?▾
Every programme runs an applied capstone in the final term where you solve a real industry problem using real data, mentored by a senior practitioner. Capstones become portfolio pieces you take to interviews.
How is it different from an online MBA?▾
PG programmes here are 9–12 months and specialised (data, analytics, product). An online MBA is 24 months and generalist. Pick PG if you want a fast, deep skill switch; pick MBA if you want a broad leadership credential.
Will I get a job after?▾
Career services include resume coaching, mock interviews and recruiter access — but no programme guarantees a job. Outcomes depend on your prior background, the effort you put into the capstone, and the local job market for the specialisation.
Can I do this while working full-time?▾
Yes — these programmes are designed for working professionals. Expect 10–14 hours per week across recorded lectures, live sessions and assignments, with most live content on weekends.
Related programs
Other programs learners with similar goals consider.
PG in Business Analytics
A practitioner-led PG in business analytics — SQL, Tableau, Python and predictive modelling — aimed at turning managers and analysts into people who run the dashboard, not the people who request it.
PG in Product Management
A 9-month practitioner-built PG in product management — taught entirely by people who currently ship product at Indian and global tech companies, with portfolio-grade projects and structured interview prep.
Online MBA — General Management
A broad-based two-year online MBA built for mid-career generalists who want a leadership credential without a career break — cross-functional case work, an applied capstone and structured electives across strategy, finance and marketing.
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