Data Science and Artificial Intelligence
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Big Data Engineer

18 institutes8 entrance exams6 options abroad

Summary

A Big Data Engineer turns raw data into decisions — building models, pipelines and dashboards that organisations rely on to act. In India this work sits inside the Data Science and Artificial Intelligence stream: students usually take Any stream in Class 11–12 (subject requirements vary by programme) in Class 11–12, qualify through Bachelor's degree in the relevant subject, and specialise later through work experience or a master's. The sections below set out the study route, the entrance exams, the leading institutes in India and abroad, and the day-to-day reality of the job.

Core skills
  • Statistics, probability and linear algebra
  • Python, SQL and cloud tooling
  • Problem framing and business sense
  • Clear data storytelling
Where you can work
  • Technology product companies and start-ups
  • Banking, insurance and consulting
  • E-commerce, healthcare and manufacturing analytics teams
  • Research labs and government data programmes

Professional Opportunities

Technology product companies and start-ups
Banking, insurance and consulting
E-commerce, healthcare and manufacturing analytics teams
Research labs and government data programmes

Career Path

StageWhat you studyDuration
After Class 10Any stream in Class 11–12 (subject requirements vary by programme)2 years (Class 11–12)
GraduationBachelor's degree in the relevant subject3–4 years
After GraduationMaster's degree / PG diploma in a specialisation2 years
After Post-GraduationM.Phil. / Ph.D. for research and teaching roles3–5 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

#InstituteEntrance / CategoryWebsite
1Indian Institute of Technology (IIT), Madras — Wadhwani School of Data Science and AIJEE Advanced / GATEdsai.iitm.ac.in
2Indian Institute of Science (IISc), BengaluruGATE / JEE Advancediisc.ac.in
3Indian Institute of Technology (IIT), Bombay — CMInDSJEE Advanced / GATEcse.iitb.ac.in
4Indian Institute of Technology (IIT), Delhi — School of AIJEE Advanced / GATEscai.iitd.ac.in
5Indian Institute of Technology (IIT), Kharagpur — Centre of Excellence in AIJEE Advanced / GATEiitkgp.ac.in
6Indian Statistical Institute (ISI), KolkataISI Admission Testisical.ac.in
7IIIT HyderabadUGEE / JEE Mainiiit.ac.in
8IIIT BangaloreJEE Main / PGEEiiitb.ac.in
9Chennai Mathematical Institute (CMI)CMI Entrancecmi.ac.in
10Indian Institute of Management (IIM), Bangalore — Business AnalyticsCATiimb.ac.in
11Indian Institute of Technology (IIT), Kanpur — Computer ScienceJEE Advanced / GATEcse.iitk.ac.in
12International Institute of Information Technology, Naya RaipurJEE Mainiiitnr.ac.in
13Vellore Institute of Technology — School of Computer ScienceVITEEEvit.ac.in
14Christ University, Bengaluru — Data ScienceChrist Entrancechristuniversity.in
15Nirma University — Institute of Technology, AhmedabadJEE Mainnirmauni.ac.in
16Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT), GandhinagarJEE Maindaiict.ac.in
17Great Lakes Institute of Management — Business Analytics, ChennaiCAT / GMATgreatlakes.edu.in
18Manipal Institute of Technology — AI and MLMETmanipal.edu

Institutions Abroad

InstituteCountryWebsite
University of OxfordUnited Kingdomwww.ox.ac.uk/
University of CambridgeUnited Kingdomwww.cam.ac.uk/
Harvard UniversityUnited Stateswww.harvard.edu/
University of TorontoCanadawww.utoronto.ca/
University of MelbourneAustraliawww.unimelb.edu.au/
National University of SingaporeSingaporewww.nus.edu.sg/

Entrance Exams

ExamFull nameWhat it admits you toWebsite
JEE MainJoint Entrance Examination (Main)B.Tech in Data Science and AI at NITs, IIITs and state colleges.jeemain.nta.nic.in
JEE AdvancedJoint Entrance Examination (Advanced)B.Tech in AI and Data Science at IITs.jeeadv.ac.in
IIT Madras BS QualifierIIT Madras BS in Data Science Qualifier ExamOnline BS degree in Data Science and Applications.study.iitm.ac.in
CUET-UGCommon 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 AIM.Tech and research admissions in AI.gate.iitkgp.ac.in
JAM (MS)Joint Admission Test for Masters — Mathematical StatisticsM.Sc statistics as a data science base.jam.iitm.ac.in
ISI Admission TestIndian Statistical Institute Admission TestB.Stat, M.Stat and M.Tech in Computer Science.isical.ac.in
CATCommon Admission TestMBA in Business Analytics at IIMs.iimcat.ac.in

Work Description

  1. 01Frame the business question and decide what data can answer it.
  2. 02Clean, join and validate data from multiple sources.
  3. 03Build, train and evaluate statistical or machine-learning models.
  4. 04Deploy models and monitor their accuracy in production.
  5. 05Explain findings to non-technical stakeholders with clear visuals.

Pros & Cons

Pros
  • Among the fastest-growing career tracks in India
  • Strong pay and international mobility
  • Applies across every industry
Cons
  • Tooling changes rapidly and needs constant relearning
  • Much of the work is unglamorous data cleaning
  • Entry roles are crowded without a portfolio
Are you fit for this career?

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