Quick Facts

Total Fees

22.00 L

Exam

JEE Main

Seats

120

Fees Details

General

₹ 22.00 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 in Computer Science and Engineering Artificial Intelligence and Machine Learning is a full-time four-year course degree offered by Dr DY Patil University, Navi Mumbai and approved by AICTE.

Artificial Intelligence & Machine Learning is an associated branch of Computer Science with emphasis on technology for creating intelligent machines which can think and work like human beings.
This program will provide detailed insights of AI concepts and workflows, machine learning, deep learning, and related performance metrics.
The program will make learners to understand the difference between supervised, unsupervised, and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.
This program will train students for roles such as machine learning engineers, AI engineers and Machine Learning Data Scientist.
Artificial Intelligence and Machine Learning has shown high growth in the last few years. It is one of the high demanding subjects in today’s world due to its applications in various sectors thereby generating a large number of career opportunities.
In today’s data-driven world, the data is collected digitally and is growing exponentially leading to an increasing importance of Artificial Intelligence/Machine Learning techniques. The AI and ML plays a pivotal role in deriving meaningful insights from this Big Data.
This course is built to cover a holistic and a wide variety of foundational topics of Artificial Intelligence and Machine Learning which will be helpful to lead the fresher into the unconventional job profiles like Intelligence Designer, Data Curator, Digital Knowledge Manager, and many more

Important dates

Exams and Events	Dates

JEE Main Counselling Date - JoSAA (Round-4): Last day to respond to withdrawal query & last day to respond to queries (Mode - Online)	14 Jul'26 - 15 Jul'26
JEE Main Counselling Date - JoSAA (Round-5): Seat allocation (Mode - Online)	15 Jul'26 - 16 Jul'26
JEE Main Counselling Date - JoSAA (Round-5): Reporting: fee payment/document upload/response by candidate to query (if required) (Mode - Online)	15 Jul'26 - 20 Jul'26
JEE Main Counselling Date - For NIT+ System only - Initiation of Withdrawal of seat (Mode - Online)	15 Jul'26 - 20 Jul'26
JEE Main Counselling Date - For NIT+ System only - Withdrawal query response (Mode - Online)	16 Jul'26 - 21 Jul'26
JEE Main Counselling Date - JoSAA (Round-5): Last date for fee payment (Mode - Online)	19 Jul'26 - 20 Jul'26
JEE Main Counselling Date - JoSAA: Pwd candidates - Physical verification (Mode - Online)	14 Jun'26 - 19 Jul'26
JEE Main Counselling Date - JoSAA (Round-5): Resolution of fee payment issues, if any / last day to respond to queries (Mode - Online)	20 Jul'26 - 21 Jul'26
JEE Main Counselling Date - For NIT+ System only - Online payment of Partial Admission Fee (PAF) (Mode - Online)	21 Jul'26 - 23 Jul'26

MHT CET Counselling Date - B.E./ B.Tech: Online registration of application and uploading of required documents by the candidate for admission (Mode - Online)	1 Jul'26 - 16 Jul'26
MHT CET Counselling Date - B.E./ B.Tech: Document verification for registered candidates (Mode - Online)	2 Jul'26 - 17 Jul'26
MHT CET Counselling Date - B.E./ B.Tech: Display of the provisional merit list (Mode - Online)	18 Jul'26 - 18 Jul'26
MHT CET Counselling Date - B.E./ B.Tech: Submission of grievances if any, for all type of candidates (Mode - Online)	19 Jul'26 - 21 Jul'26
MHT CET Counselling Date - B.E./ B.Tech: Display of the final merit lists (Mode - Online)	23 Jul'26 - 23 Jul'26

Eligibility Criteria

The candidate should have passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subjects, and obtained at least 50% marks (at least 45% marks, in case of Disability candidates belonging to Maharashtra State only) in the above subjects taken together.

The candidate should have passed a Diploma in Engineering and Technology and obtained at least 50% marks (at least 45% marks, in case of Disability candidates belonging to Maharashtra State only).

Lateral entry

Passed Diploma Course in Engineering and Technology with at least 45% marks (40% marks in case of candidates of backward class categories, and Persons with Disability) in appropriate branch of Engineering and Technology from an All India Council for Technical Education or Central or State Government approved Institution or its equivalent;

Passed B.Sc. Degree from a University Grants Commission (UGC) or Association of Indian Universities recognized University with at least 45% marks (40% marks in case of candidates of backward class categories, and Persons with Disability) and passed HSC with Mathematics as a subject. Provided that students belonging to this category shall clear the subjects of Engineering Graphics and Engineering Mechanics of the first year Engineering Program along with second year subjects.

Passed D.Voc. Stream in the same or allied sector.

Top Exams Accepted by RAIT Navi Mumbai

(JEE Main) - Joint Entrance Examination (Main)

Counselling Date - Online mode

14 Jul'26 - 15 Jul'26

Eligibility Criteria Application Process Admit Card Preparation Tips Counselling Process Cutoff Mock Test Result Exam Analysis Student Reactions Question Paper College Predictor Answer Key

(MHT CET) - Maharashtra Common Entrance Test

Counselling Date - Online mode

1 Jul'26 - 16 Jul'26

Eligibility Criteria Application Process Exam Pattern Mock Test Admit Card Answer Key Result Cutoff Preparation Tips College Predictor Counselling Process

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

4.1/5(3 Reviews)

College Infrastructure: 4.3/5

Academics: 4/5

Placements: 4/5

Value for Money: 4/5

Campus Life: 4.3/5

It is good college

Posted on 4 Jan'26 by Aditya
Batch of 2027-01-01 | B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning

College Infrastructure

ExcellentExcellent The college infrastructure is excellent and well maintained, providing a comfortable and productive learning environment for students. Classrooms are spacious, well-ventilated, and equipped with modern teaching aids. Laboratories have updated equipment that supports practical learning and research. The library offers a wide range of academic resources with adequate seating. Campus facilities such as Wi-Fi, clean restrooms, common areas, and sports infrastructure further enhance the overall student experience and academic growth.

Great Value for money college

Verified Review

Posted on 2 Feb'25 by Anonymous

This user chose to post anonymously

Batch of 2026-01-01 | B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning

College Infrastructure

The infrastructure is nice; the overall campus is excellent, especially the care-taking the facilities, overall amazing. One gets different interests in things. It includes an online board classroom, V-lab, a well-managed library. 2-3 canteens offer a variety of foods.

Experienced and Support Faculty

Verified Review

Posted on 2 Feb'25 by Anonymous

This user chose to post anonymously

Batch of 2026-01-01 | B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning

College Infrastructure

The infrastructure of the college is very good. It has Wi-Fi in all labs and on all floors; they have smart boards of the latest technology and have a big library where students can study and take books for their knowledge. The hostel fee for 1 year is 3 lakh, so it's on you to have a hostel or take a PG nearby.

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