B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning at SRM Institute of Science and Technology, NCR Campus, Ghaziabad Offline Course

SRM Institute of Science and Technology, NCR Campus, Ghaziabad Modinagar,Uttar Pradesh

Approved by AICTE

48 Months

Full time

14,20,000

Quick Facts

Total Fees

14.20 L

Exam

JEE Main

Seats

240

Fees Details

General

₹ 14.20 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

48 Months

Bachelor of Technology (B.Tech) in Computer Science and Engineering with a Specialization in Artificial Intelligence and Machine Learning is a four-year full-time undergraduate program offered by SRM Institute of Science and Technology, NCR Campus, Ghaziabad, and approved by All India Council for Technical Education.

Eligibility Criteria

The candidate should have Passed in Higher secondary examination (10+2 pattern) with 60% marks or appearing in Higher Secondary examination in the current academic year with Physics, Chemistry and Mathematics as major subjects in regular stream from any state board within India, CBSE, ICSE, Matriculation, or NIOS

Admission Details

Admission is done through National level entrance examination (SRMJEEE) conducted by SRM Institute of Science and Technology or authorized /statutory boards or agencies. In addition to the above, the eligibility for admission is subject to fulfilling the requirement of minimum marks in the qualifying examination.

Any Candidate qualified in IIT JEE Main will be admitted directly even if the candidate doesn't take SRMJEEE.

Top Exams Accepted by SRM Institute of Science and Technology, NCR Campus, Ghaziabad

Student Reviews for B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning

4.3/5(3 Reviews)

College Infrastructure: 4/5

Academics: 4.3/5

Placements: 4.3/5

Value for Money: 4.3/5

Campus Life: 4.3/5

Solid academics, great faculty, fun campus life at SRM

Posted on 28 Jul'26 by Kaarnik Bhandari
Batch of 2029-01-01 | B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning

College Infrastructure

Classrooms and labs are functional and well-equipped for coursework, and the campus itself is spread out with decent common spaces. Hostel and library facilities cover the essentials, though there's scope for further upgrades to match the scale of the institute. Wi-fi and basic amenities are generally reliable.

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Verified Review

Posted on 27 Jul'26 by
Batch of 2029-01-01 | B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning

College Infrastructure

The infrastructure is functional and modern, though the overall physical campus area is relatively compact compared to government universities or the main KTR campus. • Classrooms & Labs: Classrooms are air-conditioned and fitted with smart boards, projectors. Computer labs are well equipped with high speed internet, working systems and required software tools. • Library: The central library is well stocked with textbooks, research journals and digital portals offering a quiet environment for studying during exams. • Hostel: Hostels offer both AC and Non-AC rooms (primarily 2 seater and 3 seater options). The mess food is average—passable, with a mix of North and South Indian menus though the International Boarding House hostel offers better food. • Sports and campus grounds: There are basic facilities for basketball, badminton, volleyball and indoor games. Ground is well enough for playing cricket and football.

Good

Posted on 17 Mar'26 by
Batch of 2029-01-01 | B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning

College Infrastructure

I am pursuing a B.Tech in Computer Science with a specialization in Artificial Intelligence and Machine Learning (CSE AIML) because of the vast career opportunities in this field. The quality of teaching at my college is quite good, as the professors are well-qualified and use practical examples to explain complex concepts. The curriculum is updated regularly to include recent developments like deep learning and neural networks, which helps in keeping us competitive. I believe the subjects we study are relevant to current industry standards, making us more job-ready. The hands-on lab sessions and projects further enhance our technical skills, ensuring we are prepared for the challenges of the tech industry. Would you like me to write the "Placements" section for you as well?

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