Quick Facts

Total Fees

6.95 L

Exam

JEE Main

Seats

Fees Details

General

₹ 6.95 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 Artificial Intelligence and Machine Learning is a four-year full-time undergraduate program recognized by All India Council for Technical Education (AICTE) and offered by the Maulana Abul Kalam Azad University of Technology, Kolkata.

Important dates

Exams and Events	Dates

JEE Main Exam Date - Jan session (Mode - Online)	21 Jan'27 - 23 Jan'27
JEE Main Exam Date - Jan session (Mode - Online)	27 Jan'27 - 29 Jan'27
JEE Main Exam Date - Jan session: Buffer (Mode - Online)	30 Jan'27 - 30 Jan'27

WBJEE Counselling Date - Phase-2 (Round-1) Decentralized e-counselling: Publication of seat allotment and merit (Mode - Online)	19 Sep'26 - 19 Sep'26
WBJEE Counselling Date - Phase-2 (Round-1) Decentralized e-counselling: Provisional admission against allocated seat by payment of seat acceptance fee and obtaining provisional admission receipt (Mode - Online)	19 Sep'26 - 20 Sep'26
WBJEE Counselling Date - Phase-2 (Round-1) Decentralized e-counselling: Physical document verification & admission/withdrawal confirmation by the candidate at Institute (Mode - Online)	19 Sep'26 - 21 Sep'26
WBJEE Counselling Date - Phase-2 (Round-2) Decentralized e-counselling: New seat allotment published post round-1 (Mode - Online)	22 Sep'26 - 22 Sep'26
WBJEE Counselling Date - Phase-2 (Round-2) Decentralized e-counselling: Provisional admission against allocated seat by payment of seat acceptance fee and obtaining provisional admission receipt (Mode - Online)	22 Sep'26 - 23 Sep'26
WBJEE Counselling Date - Phase-2 (Round-2) Decentralized e-counselling: Physical document verification & admission/withdrawal confirmation by the candidate at Institute (Mode - Online)	23 Sep'26 - 24 Sep'26

Eligibility Criteria

Candidates must be at least 17 (seventeen) years of age. There is no upper age limit.
Candidates must pass Higher Secondary (10+2) Examination of West Bengal Council of Higher Secondary Education or equivalent examination from a recognized Council/Board with:
Individual pass marks in Physics and Mathematics as compulsory subjects along with Chemistry / Biotechnology / Biology / Computer Science)
Minimum of 45% marks in the Physics and Mathematics as compulsory subjects along with Chemistry / Biotechnology / Biology / Computer Science) taken together as well as pass in English with a minimum of 30% marks in the said qualifying examination.

Admission Details

Admission to the institute a candidate must valid rank of qualifying examination (WBJEE/JEE(Main)/CEE-AMPAI-WB).

Top Exams Accepted by JIS College of Engineering, Nadia

(JEE Main) - Joint Entrance Examination (Main)

Exam Date - Online mode

21 Jan'27 - 23 Jan'27

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

(WBJEE) - West Bengal Joint Entrance Exam

Counselling Date - Online mode

19 Sep'26 - 19 Sep'26

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

(CEE-AMPAI) - Common Entrance Examination - Association of Minority Professional Academic Institutes

To be notified soon

Student Reviews for B.Tech Artificial Intelligence and Machine Learning

5/5(3 Reviews)

College Infrastructure: 5/5

Academics: 5/5

Placements: 5/5

Value for Money: 5/5

Campus Life: 5/5

Exploring

Verified Review

Posted on 19 Nov'24 by Soumili Sarkar
Batch of 2028-01-01 | B.Tech Artificial Intelligence and Machine Learning

College Infrastructure

The college has a perfect ambience for proper education.... The infrastructure are perfect and the facilities are provided fully to the students. The labs are well organised, library is organised and good in sports. Good canteen area.

Best

Posted on 6 Nov'24 by
Batch of 2028-01-01 | B.Tech Artificial Intelligence and Machine Learning

College Infrastructure

Infrastructure presents a blend of well-maintained traditional architecture with modern updates, providing a comfortable and functional learning environment for students. Classrooms are spacious and equipped with necessary technology, including projectors and smart boards, while the well-stocked library offers ample study space and a diverse collection of resources. The science labs are well-equipped with advanced apparatus, allowing for hands-on learning in various disciplines.

Best experience

Posted on 6 Nov'24 by
Batch of 2028-01-01 | B.Tech Artificial Intelligence and Machine Learning

College Infrastructure

Infrastructure:* - State-of-the-art laboratories and equipment - Modern classrooms with multimedia facilities - Spacious library with extensive resources

View All Reviews