PG in Data Science
Post Graduate Programme in Data Science (Online)
Master Python, SQL, statistics, machine learning and data visualisation to become job-ready for data roles.
About PG in Data Science
A PG programme in Data Science teaches you to collect, clean, analyse and model data to answer business questions. It covers Python, SQL, statistics, machine learning, data visualisation and big-data tools.
It suits graduates and working professionals from IT, engineering, commerce, economics and science backgrounds who want to move into analytics or data-science roles.
This is typically a PG certificate / diploma, not a master's degree. Check the award and the issuing institution before you enrol.
Why Choose PG in Data Science?
High Demand
Almost every industry now hires data analysts and data scientists.
Portfolio Projects
Work on real datasets from finance, retail, healthcare and more.
Industry Tools
Python, SQL, Power BI/Tableau, scikit-learn and cloud platforms.
Career Switch
A practical route into data from almost any quantitative background.
PG in Data Science Eligibility
- Bachelor's degree in any discipline, preferably with Mathematics or Statistics.
- Some universities require 50% marks in graduation.
- No prior coding experience is needed for most programmes.
Documents Required
Academic Documents
Class 10, 12 and graduation mark sheets and degree certificate (plus PG documents, if any).
Government ID Proof
Aadhaar card, PAN card, passport or any other valid government-issued photo ID.
Passport-size Photographs
Recent colour photographs with a plain background, in the format the university asks for.
Other Certificates
Migration / transfer certificate, category certificate (if applicable) and work experience letter, if any.
PG in Data Science Admission Process
- 1
Registration
Fill in the online application form on the university portal and pay the application fee, if any.
- 2
Document Submission
Upload scanned copies of your mark sheets, ID proof, photograph and other required documents.
- 3
Document Verification
The university verifies your eligibility and documents, usually within a few working days.
- 4
Fee Payment
Pay the semester or annual fee — most universities also offer EMI or instalment options.
- 5
Admission Confirmed
Receive your enrolment number and LMS login, then start attending live and recorded classes.
Not sure which university is right for you?
Get a free 1:1 session with a Career Buddy Club counsellor — compare fees, approvals and EMI options for PG in Data Science.
PG in Data Science Fees
Fees for PG in Data Science vary by university and specialisation. Most universities let you pay semester-wise or through EMI.
PG in Data Science Specialisations
Popular specialisations offered across universities. Availability differs by university — check with a counsellor before you apply.
- Data Analytics
- Machine Learning
- Business Intelligence
- Big Data Engineering
- Deep Learning
PG in Data Science Syllabus
An indicative syllabus — exact subjects vary from university to university.
Module 1
- Python Programming
- Statistics for Data Science
- Excel & SQL
Module 2
- Exploratory Data Analysis
- Data Visualisation (Power BI / Tableau)
- Data Storytelling
Module 3
- Machine Learning
- Time-series Forecasting
- Model Deployment
Module 4
- Big Data (Spark)
- Deep Learning Basics
- Generative AI for Analytics
- Capstone Project
Career Scope & Salary After PG in Data Science
| Job Role | What You'll Do | Avg. Salary* |
|---|---|---|
| Data Analyst | Turns raw data into dashboards and insights. | ₹4 – 10 LPA |
| Data Scientist | Builds predictive models to solve business problems. | ₹8 – 20 LPA |
| Business Intelligence Analyst | Designs reports and dashboards for decision-makers. | ₹5 – 12 LPA |
| Data Engineer | Builds the pipelines that move and store data. | ₹7 – 18 LPA |
*Indicative annual salary ranges in India. Actual pay depends on your experience, skills, city and employer.
PG in Data Science FAQs
Yes. Most programmes start from Python basics. A comfort with numbers matters more than prior coding.
It gives you the skills; your projects, portfolio and interview preparation decide the job. Use the programme's career support and build 3–4 solid projects.
Classes run on the university's learning management system (LMS) as a mix of live sessions — usually on weekends — and recorded lectures you can watch any time. Semester exams are generally online and remotely proctored; a few universities may ask you to visit an exam centre.
Yes. Most universities let you pay semester-wise or annually, and many offer no-cost or low-cost EMI through partner lenders. Talk to a Career Buddy Club counsellor for the current payment plans of each university.
Look for the university in the UGC-DEB list of institutions entitled to offer online programmes for the relevant academic session, and check that the specific programme is listed. Our counsellors can help you verify this before you apply.
