Best AI & ML Colleges in India: Ranking 2026, Fees, Admission, Courses, Placements

There are about 1,600+ best Artificial Intelligence and Machine Learning colleges in India. Of these, 1,300 colleges are privately owned, 150+ colleges are owned by the government, and 15+ colleges are owned by semi-government institutions. JEE Main, TNEA, GATE, etc., are the top entrance exams for admission to top BTech in AI and ML colleges in India. Some of the best AI and ML colleges in India include IIT Bombay, DTU, IIT Delhi, IIT Madras, VIT Vellore, NIT Surathkal, IIT Kharagpur, NIT Warangal, IIT Hyderabad, IIT Roorkee, NIT Rourkela, and many others.

Joining AI and Machine Learning colleges in India can be worthwhile for you. For that, you need to check its ROI. Listed below are some of the colleges along with their tuition fees and average placement package:

College Names	Total Tuition Fee	Average Placement Package
IIT Bombay	INR 1 lakh	INR 12 LPA
IIT Delhi	INR 1 lakh – INR 3 lakh	INR 13 LPA – INR 15 LPA
VIT Vellore	INR 4 lakh – INR 8 lakh	INR 8 LPA
NIT Surathkal	INR 5 lakh	INR 13 LPA
IIT Hyderabad	INR 24,000 – INR 8 lakh	INR 20 LPA – INR 21 LPA

Hope this answers your query!

 

IIT Madras emerged to be as the No. 1 AI and ML college in India followed by other colleges. Listed below are some of the colleges along with their NIRF rankings:

College Names	NIRF 2023	NIRF 2024	NIRF 2025
IIT Madras Ranking	1	1	1
IIT Delhi Ranking	2	2	2
IIT Bombay Ranking	3	3	3
VIT Vellore Ranking	12	11	16
DTU Ranking	29	27	30

Hope this information proves beneficial for you!

Artificial Intelligence is a broad and expansive subject which machine learning is a part of. Mimicking human intelligence is the end goal of any AI module. ML has a smaller more limited scope. It is a subset of AI, that helps AI achieve its goal by building trained algorithms and software that can work without explicit prompts.

Check the list below to know the COEP Pune Ranking 2026 postiton by multiple state and regional ranking bodies. 

Ranking Body	Category	Rank
GHRDC Engineering Survery 2026	Maharashtra	1
	Western Region	1
	Supreme Engineering colleges	2
Times Engineering Survery 2026	Western Region	1
IIRF Ranking 2026	Maharashtra	3

It is estimated that studying engineering in India might be affordable, 388 colleges have annual fees ranging from INR 2-3 lakh, and some of the colleges are IIT Madras, NIT Jalandhar, MNNIT Allahabad, NIT Patna, IIIT Delhi, MANIT, SKCET, NIT Agartala, etc. 

Listed below are some of the affordable best colleges for Machine Learning in India having tuition fees of less than INR 1 lakh:

College Name	Total Tuition Fee
IIT Hyderabad	INR 24,000
IIT Roorkee	INR 20,000 – INR 25,000
IIT BHU	INR 40,000
IIT Ropar	INR 27,000
IIT Jodhpur	INR 52,000

There are about 1,300+ NIT in AI & ML colleges in India. Some of them are mentioned below along with their tuition fees:

BTech Colleges	Tuition Fee
VIT Vellore BTech	INR 8 lakh
IIT Madras BTech	INR 8 lakh
IIT Kharagpur BTech	INR 8 lakh
IIT Hyderabad BTech	INR 8 lakh
NIT Surathkal BTech	INR 5 lakh

There are about 200+ M.Tech in AI & ML colleges in India. Some of them are mentioned below along with their tuition fees:

MTech Colleges	Tuition Fee
IIT Delhi MTech	INR 3 lakh
DTU MTech	INR 2 lakh
VIT Vellore MTech	INR 4 lakh
AI0 Hyderabad MTech	INR 24,000
IIT Roorkee MTech	INR 20,000

The scope of AI & ML is limitless. The major recruiters are from the healthcare, e-commerce, finance and defense, along with many more sectors. Countries like US, UK, Germany and Japan offer a high employability rate for roles in many technology-based areas. The average salary for US, UK, Germany and Japan for the role of AI & ML Engineer is $1L/yr, £44K/yr, €58K/yr, and JP¥75.2L/yr respectively.

Management Quota fee details for B.E. in core stream at RV College of Engineering is mentioned in the table below:

Course	Total Fee
B.E. EEE/Civil/ Mechanical	INR 24 lakh
B.E. ECE	INR 38 lakh
B.E. Chemical Engineering	INR 16 lakh
B.E. Electronics & Telecommunication	INR 24 lakh
B.E. Aerospace Engineering	INR 35 lakh

 

Hi, listed below are some AI ML courses you can pursue:

• UG (Btech in AI/ML, BSc AI/ML)
• Postgraduate Programs (MTech in AI ML, MSc AI ML)
• Diploma Courses (Diploma in AI ML)
• Certificate Courses

The table below shows the government AI ML colleges in India along with their total tuition fees/seat intake and their accepted entrance exams/eligibility criteria:

Public/Government Colleges	Total Tuition Fee/Seat Intake	Exams/Eligibility Criteria
IIT Bombay Admission	INR 1 lakh BTech Seats: 1,503 MTech Seats: 738	Exams: GATE Eligibility: Class 12 and graduation with 75% aggregate
DTU Admission	INR 2 lakh BTech Seats: 2,690 MTech Seats: 993	Exams: GATE Eligibility: Class 12 and graduation with 75% aggregate
IIT Delhi Admission	INR 3 lakh BTech Seats: 1,209 MTech Seats: 1,568	Exams: GATE Eligibility: Class 12 and graduation with 75% aggregate
IIT Madras Admission	INR 3 lakh – INR 8 lakh BTech Seats: 1,191 MTech Seats: 717	Exams: JEE Main, JEE Advanced Eligibility: Class 12 and graduation with 75% aggregate
NIT Surathkal Admission	INR 5 lakh BTech Seats: 915 MTech Seats: 2,153	Exams: JEE Main, DASA UG Eligibility: Class 12 and graduation with 75% aggregate

Listed below are the various job profiles available after completing BTech or M.Tech from AI colleges in India along with their salaries. The initial salary will be lower, but as the candidate learns and gains more experience the salary will also increase.

AI & ML courses are a stepping stone to the diverse and enormous field of Artificial Intelligence. They educate students in the art of creating systems that analyse extensive datasets, automate decision making and work towards real world problem solving. Gaining a degree in AI & ML offers a greater chance at high paying employment in this tech first economy.

GL Bajaj Institute of Management has a decent record of placements for its BTech, MBA and MCA courses. Check out the key highlights of GL Bajaj Greater Noida placements for the Class of 2025 in the table below:

Particulars	Placement Statistics (2025)
the highest package	INR 58 LPA
Average package	INR 7.35 LPA
Total recruiters	600+
Total offers	4000
Popular recruiters	Palo Alto, Commvault, Walmart Global

The full forms of AI and ML are Artificial Intelligence and Machine Learning respectively. It is basically a course that teaches students the working machinations behind AI. The core subjects that are taught in this course are Introduction to AI, Differential Equations, Data Structures, and Foundations of Machine Learning to name a few. This course is offered in UG, PG, Diploma and PhD levels pan India.

The top 3 colleges according to our research for AI & ML would be Guru Gobind Singh Indraprastha University,  Birla Institute of Technology – Mesra and Christ University. This is because they offer a globally renowned curriculum, good placements and helps attaining practical exposure through internships and such.

The highest fees for a degree in AI & ML in India are an approximate of the range 13L to 16.5L. On the other hand, the lower fees band is around 40K – 45K. 

So, the price range is quite flexible. The cost entirely depends on the college a candidate chooses, the degree can be expensive and affordable according to it.

Yes, one can get into Vishwakarma Institute of Technology Pune without entrance exams in case of admission through management quota. This mode of direct admission depends on qualifying exam scores or Class 12 marks. Students must also pay higher fees if they take admission through the management quota at VIT Pune.

If the admission is done through the Management quota at BMS College of Engineering, the below is the fee details:

APPROVED MANAGEMENT FEE STRUCTURE FOR 2026-27

Name of the Branch	Fee for 2026-27 (Rs. in Lacs per annum)
Civil Engineering	6.0
Electrical & Electronics Engg.	6.0
Industrial Engineering & Mgmt	6.0
Electronics & Communication Engg.	9.0
Mechanical Engineering	6.0
Computer Science and Engineering	15.0
Chemical Engineering	4.0
Bio-Technology	7.0
Artificial Intelligence and Machine Learning	12.5
Artificial Intelligence and Data Science	12.0
Computer Science and Engineering (Data Science)	12.0
Computer Science and Engineering (Internet of Things & Cyber Security including Blockchain Technology)	12.0
Computer Science & Business Systems	10.0

 

Department of Architecture and Planning imparts high-quality education in the professional fields of Architecture and Planning and offers Bachelor of Architecture (B.Arch.), Master of Architecture (M.Arch.) and mant other degrees. Department has facilities like Climatology Lab, Computer Lab, and Computerized Design Studios equipped with state of art equipment and software, Art Lab & Fabrication Lab. A prestigious lab on Net Zero Emissions set up under the INDO UK programme is the latest addition in the department.

Yes, Jaypee Institute of Information Technology is highly ranked institute. Given below are the ranking of the Institute:

 

Ranking Body	Category	Ranks
Times Higher Education 2026	Overall	1001
NIRF 2025	Engineering	101-150
The Week 2025	Engineering	44
India Today 2025	Engineering	47
India Today 2025	Engineering (Private)	21
Outlook 2025	Deemed To Be University	15
Times Ranking 2025	Engineering	29
Times Ranking 2025	Engineering (Private)	27

The flagship courses offered at Galgotias College of Engineering and Technology are MCA, MBA/PGDM, B.Tech. The Institute has experienced faculty offering the best education to students. On the basis of Shiksha verified reviews, Galgotias College of Engineering and Technology has a rating of 4.1 by students. The college's campuslife, placements, faculty and Infrastructure has been rated as 4.3, 4, 4.1 and 3.9 as per reviews by students.

The eligibility criteria includes minimum qualification and aggregate required to apply for any of the UG or PG courses. The basic eligibility is Class 12 for UG and graduation for PG programmes. Below is eligibility requirement for SIT Pune courses:

Course Name	Common Eligibility
BTech	Class 12 in relevant subjects with at least 45% aggregate (40% aggregate in case of candidates belonging to reserved category)
MTech	Bachelor's degree in relevant subjects with at least 50% aggregate (45% aggregate for SC/ ST)
PhD	Master's degree in relevant subject with at least 55% aggregate (50% aggregate for SC/ ST)