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Computer Science And Engineering (Artificial Intelligence And Machine Learning)

UG · COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)

Course guide

A structured national guide combines the verified course identity, pathway routes and published institutions. Institution-specific eligibility, fees, admissions and outcomes must be checked in the current official notice.

Published source cycles

Source cycle: 2026-2027

Source cycle: 2026-27

Source cycle: 2025-26

Source cycle: CURRENT_LISTING_2026-10-17

Course overview

This is a UG COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING) programme in the published national catalogue.

Subjects and curriculum vary by institution. Review the current programme syllabus before applying.

What to check before applying

  • Check the current official eligibility and admission notice.
  • Compare the syllabus, duration, practical work and assessment at shortlisted institutions.
  • Confirm recognition or regulatory requirements where they apply.

How to reach this programme

These routes are guidance, not a universal eligibility guarantee.

Class 11–12 / senior secondary

CLASS 11 12 · General guidance

Engineering/technology commonly follows senior secondary preparation with mathematics, but subject, entrance and institution rules vary. Policy: EDUCATION_PATHWAY_POLICY_V2. Stream labels are common preparation only; verify current institution and regulator rules.

Science with Physics, Chemistry and Mathematics

CLASS 11 12 · General guidance

Engineering/technology commonly follows senior secondary preparation with mathematics, but subject, entrance and institution rules vary. Policy: EDUCATION_PATHWAY_POLICY_V2. Stream labels are common preparation only; verify current institution and regulator rules.

Common routes shown: Class 11–12 / senior secondary · Science with Physics, Chemistry and Mathematics. Verify subjects and admission rules for the institution and year.

Where this course can take you

Career directions for this course are still being expanded. Review the syllabus, institution outcomes and further-study options before deciding.

Institutions offering this programme

710 published institutions match this course.

Ramrao Adik Institute Of Technology

THANE · Maharashtra

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Rao Bahadur Y Mahabaleswarappa Engineering College

BELLARY · Karnataka

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Rao Pahlad Singh Group Of Institutions

MAHENDERGARH · Haryana

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Rathinam Institute Of Technology

BANGALORE URBAN · Karnataka

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Rathinam Technical Campus

COIMBATORE · Tamil Nadu

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Rcc Institute Of Information Technology

KOLKATA · West Bengal

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Regent Education & Research Foundation Group Of Institutions

NORTH 24 PARGANAS · West Bengal

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Rishi Ramnaresh Technical Institute

MAU · Uttar Pradesh

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Rkdf Institute Of Science & Technology

BHOPAL · Madhya Pradesh

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Rns Institute Of Technology

BANGALORE URBAN · Karnataka

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Rohini College Of Engineering And Technology

KANYAKUMARI · Tamil Nadu

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Roland Institute Of Technology

GANJAM · Odisha

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Roorkee Institute Of Technology

HARIDWAR · Uttarakhand

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Rungta Institute Of Technology And Management

ARARIA · Bihar

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Rustamji Institute Of Technology

GWALIOR · Madhya Pradesh

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Rv Institute Of Technology And Management

BANGALORE URBAN · Karnataka

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Rvs Institute Of Technology

COIMBATORE · Tamil Nadu

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S Vyasa Deemed To Be University Thiruvananthapuram

THIRUVANANTHAPURAM · Kerala

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S-Vyasa Deemed To Be University(School Of Advanced Studies)

BANGALORE URBAN · Karnataka

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S.A.Engineering College

THIRUVALLUR · Tamil Nadu

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S.K.P. Engineering College

TIRUVANNAMALAI · Tamil Nadu

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S.Thangapazham College Of Engineering And Technology

TIRUNELVELI · Tamil Nadu

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Sagar Group Of Institutions

RANGAREDDI · Telangana

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Sagar Institute Of Research & Technology- Excellence

BHOPAL · Madhya Pradesh

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