Quick Facts

Total Fees

6.41 L

Exam

JEE Main

Seats

180

Fees Details

General

₹ 6.41 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

NIET offers a four-year under-graduate B.Tech course in Artificial Intelligence and Machine Learning which aims to develop a strong foundation by using the principles and technologies that consist of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to stand in the crowd and grow careers in the upcoming technological era.

The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. Proficiency in mathematics will thrive, as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.

Important dates

Exams and Events	Dates

JEE Main Counselling Date - JoSAA (Round-4): Resolution of fee payment issues (Mode - Online)	13 Jul'26 - 14 Jul'26
JEE Main Counselling Date - JoSAA (Round-4): Initiation of withdrawal of seat / Exit from seat allocation process (Mode - Online)	10 Jul'26 - 14 Jul'26
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

Eligibility Criteria

Admission through UPSEE - Candidate must have clearly passed 10+2 level examination or its equivalent from any recognized Board / University and securing minimum 45% marks (40% marks for SC/ST Category candidates) without grace in required each compulsory subjects and one optional subject taken together.

Lateral Entry - Candidates who have passed three years Engg. Diploma from an Institution located in U.P. with minimum 45% marks (40% for SC/ST) or Candidates who have passed three years B.Sc. degree and passed XII standard with mathematics as one of the subject' from any recognized University; securing minimum 45% marks (40% for SC/ST) in aggregate, are also eligible for admission to second year in any branch of Engineering/ Technology.

Direct Admission -

NRI/Management Quota - Fifteen percent (15%) of approved intake of a course is filled under this category as per the Govt. of U.P. and UPTU-guidelines. There is usually a great rush for management quota seats. The students need to register themselves early to establish priority.

For admission to B.Tech courses, the candidate must have passed intermediate examination or equivalent (10+2) with minimum 60% marks in total of required subject combination (2 compulsories and 1 optional subject) from any recognized Board/University with minimum 40% in each paper.
For admission to the first year of MCA(3 years) a candidate must have passed Bachelors Degree course of three years minimum duration from any recognized Indian University or its equivalent, recognized by A.I.U. securing minimum 50% (45% for SC/ST) marks in aggregate. Candidate must have passed Mathematics at 10+2 level or Graduation level.
For admission to MBA course, the minimum qualification required is three years Bachelor Degree in any discipline with minimum 60% from a recognized University/Institute.
For admission to PGDM course, the minimum qualification required is three years Bachelor Degree in any discipline with minimum 50% marks from a recognized University/Institute.
For admission to M.Tech course, the minimum qualification required is Bachelor Degree in relevant discipline with minimum 60% from a recognized University/Institute. MCA with a minimum of 60% is also eligible for the admission to M.Tech (Computer Science & Engineering).
For Admission to 2nd year of MCA course (Lateral Entry), a candidate must have passed Bachelors Degree course of minimum three years duration in BCA, B.Sc (IT/ Computer Science) from any recognized Indian University; or its equivalent, recognized by A.I.U. securing minimum 50% (45% for SC/ST) marks in aggregate. The candidate must have passed Mathematics at 10+2 level or Graduation level.

Admission Details

Admission based on UPSEE Entrance exam.

Top Exams Accepted by NIET Greater Noida

(JEE Main) - Joint Entrance Examination (Main)

Counselling Date - Online mode

13 Jul'26 - 14 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

Student Reviews for B.Tech Artificial Intelligence and Machine Learning

5/5(1 Reviews)

College Infrastructure: 5/5

Academics: 5/5

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Value for Money: 5/5

Campus Life: 5/5

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Batch of 2028-01-01 | B.Tech Artificial Intelligence and Machine Learning

College Infrastructure

The institution boasts a robust infrastructure and contemporary learning environments. With specialised ptc modern labsThe institution boasts exceptional infrastructure, featuring state-of-the-art laboratories designed for advanced research and practical learning. Modern classrooms are equipped with the latest technology to foster an engaging and interactive educational environment. These facilities underscore a commitment to providing students with the resources necessary for academic excellence. Such comprehensive amenities contribute significantly to a superior learning experience. This investment in infrastructure highlights the institution's dedication to shaping future leaders.

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