Summary
A Quantitative Researcher works within the Data Science and Artificial Intelligence field in India. The role applies the specialist training of this stream to real problems — in industry, in public service, in institutions or in independent practice. Students usually enter through the Bachelor's degree in the relevant subject route after Class 12, then specialise through work experience or a master's degree. This page brings together the study route, the entrance exams, the leading institutes and the day-to-day reality of the job, using the same exam and institute records published elsewhere on HBK Careers.
Core skills
- Scientific reasoning and statistics
- Laboratory or field technique
- Scientific writing
- Patience with long timelines
Where you can work
- National research laboratories and institutes
- Universities and colleges
- Government scientific departments
- Industry R&D divisions
Professional Opportunities
National research laboratories and institutes
Universities and colleges
Government scientific departments
Industry R&D divisions
Career Path
| Stage | What you study | Duration |
|---|---|---|
| After Class 10 | Any stream in Class 11–12 (subject requirements vary by programme) | 2 years (Class 11–12) |
| Graduation | Bachelor's degree in the relevant subject | 3–4 years |
| After Graduation | Master's degree / PG diploma in a specialisation | 2 years |
| After Post-Graduation | M.Phil. / Ph.D. for research and teaching roles | 3–5 years (optional) |
Important Facts
- Entry qualification: Bachelor's degree in the relevant subject.
- Most institutes ask for 50–60% in the qualifying examination; reserved categories usually get a 5% relaxation.
- Admission is through the entrance exams listed below — national tests plus the state CET where applicable.
- Government and private institutes both offer this route; fee levels differ sharply between them.
- Scholarships listed on the HBK scholarships page apply to most of these programmes.
Leading Institutes in India
| # | Institute | Entrance / Category | Website |
|---|---|---|---|
| 1 | Indian Institute of Technology (IIT), Madras — Wadhwani School of Data Science and AI | JEE Advanced / GATE | dsai.iitm.ac.in |
| 2 | Indian Institute of Science (IISc), Bengaluru | GATE / JEE Advanced | iisc.ac.in |
| 3 | Indian Institute of Technology (IIT), Bombay — CMInDS | JEE Advanced / GATE | cse.iitb.ac.in |
| 4 | Indian Institute of Technology (IIT), Delhi — School of AI | JEE Advanced / GATE | scai.iitd.ac.in |
| 5 | Indian Institute of Technology (IIT), Kharagpur — Centre of Excellence in AI | JEE Advanced / GATE | iitkgp.ac.in |
| 6 | Indian Statistical Institute (ISI), Kolkata | ISI Admission Test | isical.ac.in |
| 7 | IIIT Hyderabad | UGEE / JEE Main | iiit.ac.in |
| 8 | IIIT Bangalore | JEE Main / PGEE | iiitb.ac.in |
| 9 | Chennai Mathematical Institute (CMI) | CMI Entrance | cmi.ac.in |
| 10 | Indian Institute of Management (IIM), Bangalore — Business Analytics | CAT | iimb.ac.in |
| 11 | Indian Institute of Technology (IIT), Kanpur — Computer Science | JEE Advanced / GATE | cse.iitk.ac.in |
| 12 | International Institute of Information Technology, Naya Raipur | JEE Main | iiitnr.ac.in |
| 13 | Vellore Institute of Technology — School of Computer Science | VITEEE | vit.ac.in |
| 14 | Christ University, Bengaluru — Data Science | Christ Entrance | christuniversity.in |
| 15 | Nirma University — Institute of Technology, Ahmedabad | JEE Main | nirmauni.ac.in |
| 16 | Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT), Gandhinagar | JEE Main | daiict.ac.in |
| 17 | Great Lakes Institute of Management — Business Analytics, Chennai | CAT / GMAT | greatlakes.edu.in |
| 18 | Manipal Institute of Technology — AI and ML | MET | manipal.edu |
Institutions Abroad
| Institute | Country | Website |
|---|---|---|
| University of Oxford | United Kingdom | www.ox.ac.uk/ |
| University of Cambridge | United Kingdom | www.cam.ac.uk/ |
| Harvard University | United States | www.harvard.edu/ |
| University of Toronto | Canada | www.utoronto.ca/ |
| University of Melbourne | Australia | www.unimelb.edu.au/ |
| National University of Singapore | Singapore | www.nus.edu.sg/ |
Entrance Exams
| Exam | Full name | What it admits you to | Website |
|---|---|---|---|
| JEE Main | Joint Entrance Examination (Main) | B.Tech in Data Science and AI at NITs, IIITs and state colleges. | jeemain.nta.nic.in |
| JEE Advanced | Joint Entrance Examination (Advanced) | B.Tech in AI and Data Science at IITs. | jeeadv.ac.in |
| IIT Madras BS Qualifier | IIT Madras BS in Data Science Qualifier Exam | Online BS degree in Data Science and Applications. | study.iitm.ac.in |
| CUET-UG | Common University Entrance Test (UG) | B.Sc Data Science and Statistics. | cuet.nta.nic.in |
| GATE (CS / DA) | Graduate Aptitude Test in Engineering — Computer Science / Data Science and AI | M.Tech and research admissions in AI. | gate.iitkgp.ac.in |
| JAM (MS) | Joint Admission Test for Masters — Mathematical Statistics | M.Sc statistics as a data science base. | jam.iitm.ac.in |
| ISI Admission Test | Indian Statistical Institute Admission Test | B.Stat, M.Stat and M.Tech in Computer Science. | isical.ac.in |
| CAT | Common Admission Test | MBA in Business Analytics at IIMs. | iimcat.ac.in |
Work Description
- 01Frame research questions and design experiments or field studies.
- 02Collect, clean and analyse data using statistical and computational tools.
- 03Interpret results and publish findings in journals or technical reports.
- 04Present work at conferences and to funding bodies.
- 05Supervise students, lab staff and instrumentation.
Pros & Cons
Pros
- Intellectually rewarding, frontier work
- Stable government scientist cadres
- International collaboration and fellowships
Cons
- Long qualification path, usually up to Ph.D.
- Funding and publication pressure
- Fewer positions than applicants
Are you fit for this career?
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