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Computing and Emerging Technology

Artificial Intelligence Entrance Exams

Programming, algorithms, mathematics, machine learning, deep learning, NLP, computer vision, generative AI and responsible AI.

B.E./B.Tech, B.Sc./BS, BCA, M.E./M.Tech, M.Sc./MS, diploma, certificate and doctoral pathways

Understand JEE, state, university, CUET, GATE and postgraduate routes and connect each exam to an active programme.

Artificial Intelligence Entrance Exams

No single examination is compulsory for every AI programme.

Undergraduate Entrance Exams

JEE Main: Used for admission to participating engineering institutions.

JEE Advanced: Used for admission to IIT undergraduate programmes. Students should check whether the institution offers a dedicated AI degree or a related CSE programme.

CUET UG: Accepted by participating universities for selected BSc, BCA, BS or engineering programmes.

State engineering examinations: Examples include examinations and counselling systems conducted by states for engineering admission.

University examinations: Private universities may conduct their own tests or accept national scores.

Merit admission: Some institutions use Class 12 marks.

Postgraduate Entrance Exams

GATE: Commonly used for M.Tech and selected research admissions.

CUET PG: Accepted by participating universities for MSc and other postgraduate programmes.

State postgraduate examinations: Some states conduct admission tests for postgraduate engineering.

Institutional tests and interviews: Universities may assess programming, mathematics and computing fundamentals.

Entrance-Exam Preparation

B.Tech candidates should focus on:

  • Physics;
  • Chemistry;
  • Mathematics;
  • official syllabus;
  • previous-year questions;
  • mock tests;
  • time management; and
  • accuracy.

Postgraduate applicants should prepare:

  • programming;
  • data structures;
  • algorithms;
  • discrete mathematics;
  • probability;
  • linear algebra;
  • databases;
  • operating systems;
  • computer networks;
  • machine learning basics; and
  • the accepted GATE or university syllabus.

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Course at a Glance

  • Course AreaComputing and Emerging Technology
  • Study PathwaysB.E./B.Tech, B.Sc./BS, BCA, M.E./M.Tech, M.Sc./MS, diploma, certificate and doctoral pathways
  • Primary FocusProgramming, algorithms, mathematics, machine learning, deep learning, NLP, computer vision, generative AI and responsible AI.

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