B.Tech in AI

B.Tech in Artificial Intelligence at National Institute of Engineering and Technology (NIET)

The Bachelor of Technology in Artificial Intelligence at National Institute of Engineering and Technology (NIET), Kupondole, Lalitpur, is a four-year undergraduate program affiliated with Purbanchal University. The official program title is Bachelor of Technology in Artificial Intelligence, commonly written as B.Tech in AI.

The curriculum combines programming, mathematics, computer systems, data science and specialised artificial intelligence subjects. Project work begins in the second semester and continues throughout the remaining semesters. The final year includes an internship, two electives and a professional project.

NIET offers 48 seats in the program. The institute, formerly known as the College of Biomedical Engineering and Applied Sciences, conducts the course in Kupondole, Lalitpur.

Course Highlights

Course Overview

The B.Tech in Artificial Intelligence curriculum begins with programming, digital logic, calculus, technical communication and introductory AI. Later semesters cover data structures, algorithms, operating systems, databases, computer networks and computer organisation.

The specialised part of the curriculum includes Machine Learning, Pattern Recognition and Image Processing, Computer Vision, Deep Learning, Speech and Natural Language Processing, Reinforcement Learning and artificial intelligence programming tools.

Mathematics remains part of the course across several semesters. Students study Calculus, Linear Algebra, Probability and Statistics, Differential Equations, Numerical Methods and Optimization Techniques. These subjects support the mathematical and statistical work required in later AI courses.

The program also includes embedded systems, microprocessors, cloud computing and smart-city systems. This gives students exposure to software, computing infrastructure and connected systems alongside the central AI subjects.

Who Is This Course For?

The program may suit students who are prepared to study programming and mathematics throughout a four-year degree. It requires regular work in lectures, tutorials, laboratories, assignments and semester projects.

Students considering the course should be comfortable with subjects such as:

• Mathematics and statistics

• Computer programming

• Logical and analytical problem-solving

• Technical report writing

• Laboratory and project work

• Group assignments and presentations

• Research methods

• Software and computer systems

The curriculum does not begin only with specialised AI subjects. The first two years establish the programming, mathematical and computing foundation required for Machine Learning, Computer Vision, Deep Learning and related courses in the later semesters.

Eligibility for B.Tech in AI at NIET

NIET’s stated admission requirement is the completion of 10+2 or an equivalent qualification with Physics, Chemistry and Mathematics. Applicants are required to have at least 50% aggregate marks.

Purbanchal University’s regulations for the Bachelor of Technology in Artificial Intelligence set the following academic eligibility:

• Successful completion of twelve years of schooling in the science stream

• A minimum D+ grade in every subject with a CGPA of 2.0 or above; or

• At least second division, equivalent to 45%, in 10+2, PCL or an equivalent qualification in the science discipline

• Successful completion of the entrance examination conducted by Purbanchal University

Applicants seeking admission at NIET are subject to the institute’s 50% aggregate requirement along with the university’s entrance and academic rules.

Applicants Awaiting Grade 12 Results

Students who have completed Grade 11 and are waiting for the Grade 12 supplementary examination may apply. They must submit all required academic documents when completing admission.

Students who have appeared in the final examination and are awaiting their results or certificates may also sit for the entrance examination. Their pending documents must be submitted during admission.

Applicants with Foreign Qualifications

Applicants holding foreign academic certificates must submit an equivalence certificate issued by the concerned authority. They must also provide records showing individual subject grades, CGPA or total percentage.

Admission Process

Admission to the B.Tech in Artificial Intelligence program requires applicants to meet the academic eligibility criteria and pass the entrance examination conducted by Purbanchal University.

The main admission stages are:

1. Completion of 10+2 or an equivalent science qualification

2. Submission of the entrance application

3. Participation in the Purbanchal University entrance examination

4. Fulfilment of NIET’s academic admission requirement

5. Submission of academic certificates and other required documents

6. Completion of admission within the applicable institutional schedule

The entrance requirement applies even when an applicant has already met the minimum academic grades or marks.

Duration and Academic Structure

The B.Tech in Artificial Intelligence extends over four academic years and is divided into eight semesters. English is the medium of instruction and examination for all subjects.

The first semester carries 18 credits. The second to sixth semesters each carry 17 credits. The seventh semester carries 11 credits, while the eighth semester carries 12 credits.

Semester-Wise Curriculum

The curriculum moves from foundational programming and mathematics to specialised subjects in the third and fourth years. Database systems, data structures, operating systems and computer networks are studied before the program moves into Machine Learning, Computer Vision, Deep Learning and Reinforcement Learning.

Project Work

Project work begins with Project I in the second semester and continues through Project VI in the seventh semester. The eighth semester contains a separate Professional Project.

Students apply concepts from their other courses to a defined practical assignment. Project work covers:

• Setting project aims and objectives

• Planning and research

• Technical implementation

• Teamwork

• Assessment

• Report preparation

• Presentation

Students may work in groups of up to three under the guidance of a group adviser. Each group identifies a project and sets its objectives before beginning the planned work.

The sequence allows project complexity to develop alongside the curriculum. Earlier projects accompany introductory programming and computing subjects, while later projects run alongside specialised courses such as Machine Learning, Computer Vision, Deep Learning and Reinforcement Learning.

Internship

The seventh semester includes a three-credit internship involving practical and fieldwork. It is studied alongside Reinforcement Learning, Cloud Computing and Project VI.

The internship gives students a separate practical component before the final semester. The program then concludes with two electives, IoT for Smart City and the Professional Project.

Elective Courses

Students take two electives in the eighth semester. The elective list is organised across Computer Vision, Mathematics, Computing/IoT and Data Science.

Computer Vision Electives

• Image and Video Processing

• Surveillance Video Analytics

• People Detection and Bio-metric Recognition

Mathematics Electives

• Introduction to Statistical Learning

• Optimization Methods in Machine Learning/Convex Optimization

• Kernel Methods

• Bayesian Data Analysis

Computing/IoT Electives

• Smart Product Development

• Predictive Analysis and IoT

• Modeling and Simulation

• Pervasive Computing

Data Science Electives

• Fundamentals of Big Data Analytics

• Data Analysis and Visualization

• Business Intelligence

• Social Media Analytics

The elective subjects allow students to extend their study in a selected technical area during the final semester.

Teaching and Assessment

Students are assessed throughout each semester. Continuous assessment may include participation in classes or tutorials, assignments, laboratory work, class tests and quizzes.

The distribution of marks depends on the type of course.

End-semester examinations are set and evaluated by examiners. Students are informed at the beginning of each course about the assessment methods and the weight assigned to different activities.

Grading System

The program uses letter grades based on marks obtained through the applicable internal, practical and final assessments.

An incomplete grade may be issued when a student has not submitted required work such as a term paper, report, home assignment or laboratory assignment. The outstanding requirement must be completed within six weeks from the end of the semester. Otherwise, the incomplete grade is converted into a fail grade.

A student must maintain a cumulative grade point average of at least 2.0 throughout the program. Failure to maintain the required CGPA may result in withdrawal from the course.

Attendance Requirement

Students must maintain at least 80% attendance in lectures, tests and tutorial classes to qualify for the final examination in a subject.

When absence results from unavoidable circumstances, the missed academic work must be completed. Responsibility for completing that work rests with the student, with support from the concerned teachers.

Skills Developed Through the Curriculum

The subjects, laboratories and projects provide structured practice in:

• Programming and software development

• Data structures and algorithm design

• Database and operating-system concepts

• Mathematical and statistical analysis

• AI programming tools and libraries

• Data science methods

• Pattern recognition and image processing

• Machine Learning

• Computer Vision

• Deep Learning

• Speech and natural language processing

• Embedded and connected systems

• Research planning and technical reporting

• Project design, teamwork and presentation

These areas arise directly across the semester curriculum rather than through a single isolated subject.

Further Study Options

After completing the program, graduates may continue to postgraduate study in areas identified within the university regulations, including:

• Master of Technology in Artificial Intelligence

• Master of Science in Artificial Intelligence

• Master of Computer Application

• Master of Information Technology

• Master of Science in Computer Science

• Master of Science in Computer Information Systems

• Master of Business Administration

Admission to any postgraduate program remains subject to the requirements of the concerned university or institution.

Scholarships at NIET

NIET offers merit-based and need-based scholarships. Merit-based support considers academic performance, while need-based support considers the applicant’s financial circumstances.

Scholarship allocation, amount and continuation conditions depend on the applicable criteria followed by the institute.

Other Engineering Programs at NIET

Alongside B.Tech in Artificial Intelligence, NIET offers:

• BE in Biomedical Engineering

• Bachelor of Computer Engineering

These programs are also conducted under Purbanchal University.

Frequently Asked Questions

What is the duration of B.Tech in AI at NIET?

The program takes four academic years and is divided into eight semesters.

How many seats are available?

NIET offers 48 seats in the B.Tech in Artificial Intelligence program.

What is the eligibility for B.Tech in AI at NIET?

Applicants must have completed 10+2 or an equivalent qualification in the science stream. NIET requires Physics, Chemistry and Mathematics with at least 50% aggregate marks. Applicants must also meet Purbanchal University’s eligibility and entrance requirements.

Is an entrance examination required?

Yes. Applicants must pass the entrance examination conducted by Purbanchal University.

Can students awaiting Grade 12 results apply?

Students awaiting their final results or certificates may apply for the entrance examination. All required documents must be submitted during admission.

Does the course include project work?

Yes. Project work begins in the second semester and continues through the seventh semester. The final semester includes a Professional Project.

Is there an internship in the program?

Yes. A three-credit internship involving practical and fieldwork is included in the seventh semester.

What is the medium of instruction?

English is the medium of instruction and examination.

What is the minimum attendance requirement?

Students must maintain at least 80% attendance in lectures, tests and tutorial classes to qualify for the final examination in a subject.

What CGPA must students maintain?

Students must maintain a CGPA of at least 2.0 throughout the program.