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Computing and Emerging Technology

AI and Robotics Entrance Exams

Artificial intelligence, machine learning, perception, robot mechanics, sensors, embedded systems, control and autonomous machines.

B.E./B.Tech, M.E./M.Tech, B.Sc./M.Sc., diploma and research pathways

Review national, state, university, postgraduate and institution-specific engineering admission routes.

AI and Robotics Entrance Exams

JEE Main: Used by participating engineering institutions. Programme availability must be checked.

JEE Advanced: Used for IIT undergraduate admission, but not every IIT offers a degree titled AI and Robotics.

BITSAT: Relevant only if the institution currently offers a suitable programme under its admission framework.

VITEEE: Used by VIT for undergraduate admission, subject to programme availability.

SRMJEEE: Used by SRM for relevant undergraduate admissions.

AEEE: Used by Amrita for engineering admission. Current Robotics and AI programme availability should be checked campus by campus.

MHT CET: Used for participating Maharashtra engineering institutions.

KCET: Used under Karnataka’s state admission system.

Other state examinations: These can include AP EAPCET, TS EAPCET, KEAM, WBJEE and GUJCET.

CUET: Certain universities may use CUET for B.Sc., integrated or other relevant programmes.

GATE: Commonly used for postgraduate admission. Students must check the accepted paper and eligible undergraduate disciplines.

Entrance preparation

UG candidates generally prepare:

  • Physics
  • Chemistry
  • Mathematics
  • Logical reasoning where included
  • English or aptitude where included

PG candidates may prepare:

  • Programming
  • Data structures
  • Algorithms
  • Artificial intelligence
  • Digital electronics
  • Control systems
  • Engineering Mathematics
  • General aptitude

The official examination syllabus should always be followed.

AI and Robotics Colleges, Careers and Scope

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Course at a Glance

  • Course AreaComputing and Emerging Technology
  • Study PathwaysB.E./B.Tech, M.E./M.Tech, B.Sc./M.Sc., diploma and research pathways
  • Primary FocusArtificial intelligence, machine learning, perception, robot mechanics, sensors, embedded systems, control and autonomous machines.

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