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Gateway College of Professional Studies , Basundhara, Kathmandu

BTech in AI

Affiliated To: Purbanchal University (PU)

course

B.Tech in AI

Course Level

Bachelor Degree

Duration

4 Years

Study Mode

Full Time

Total Seats

48

Medium

English

Recognition

PU FoST

Overview

Bachelor of Technology in Artificial Intelligence (B.Tech in AI) at Gateway College, Kathmandu

The Bachelor of Technology in Artificial Intelligence (BTech AI) at Gateway College of Professional Studies, Basundhara, Kathmandu, follows the Bachelor of Technology in Artificial Intelligence program of Purbanchal University. The program runs for four academic years across eight semesters and uses English as the medium of instruction and examination.

Its academic structure combines programming, mathematics, computer systems, Artificial Intelligence, data science, project work, internship, electives, and a professional project. Project work begins in the second semester and continues through the remaining semesters.

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Quick Highlights

Field Details
Course: Bachelor of Technology in Artificial Intelligence
College: Gateway College of Professional Studies
Location: Basundhara, Kathmandu
Affiliation: Purbanchal University
Duration: Four academic years
Academic Structure: Eight semesters
Medium: English
Entrance: Purbanchal University entrance examination
Attendance: Minimum 80%
Practical Components: Laboratory work, semester projects, internship, professional project

B.Tech in AI Course Structure

The program starts with programming, digital logic, mathematics, introductory Artificial Intelligence, technical communication, and professional ethics. From the second semester, students move into Artificial Intelligence systems, object-oriented programming, computer architecture, statistics, linear algebra, and project work.

The middle years add database systems, algorithms, operating systems, computer networks, programming tools for AI, data science, Machine Learning, Optimization Techniques, Embedded Systems, Pattern Recognition and Image Processing, Data Warehousing and Mining, Deep Learning, Computer Vision, and Speech and Natural Language Processing.

Semester Credits Main Courses
Semester I 18 Introduction to Programming, Digital Logic, Calculus, Introduction to Artificial Intelligence, Technical Report Writing and Presentation, Society and Professional Ethics
Semester II 17 Object Oriented Programming, Artificial Intelligence and Intelligent Systems, Microprocessor and Assembly Language, Probability and Statistics, Linear Algebra, Project I
Semester III 17 Database Management System, Data Structure and Algorithm, Computer Organization, Operating System, Differential Equations, Project II
Semester IV 17 Numerical Methods, Computer Networks, Design and Analysis of Algorithms, Programming for AI (Tools, Techniques and Libraries), Introduction to Data Science, Project III
Semester V 17 Machine Learning, Optimization Techniques, Embedded Systems, Pattern Recognition and Image Processing, Data Warehousing and Mining, Project IV
Semester VI 17 Object Oriented Software Engineering, Computer Vision, Deep Learning, Speech and Natural Language Processing, Research Methods, Project V
Semester VII 11 Internship, Reinforcement Learning, Cloud Computing, Project VI
Semester VIII 12 IoT for Smart City, Elective I, Elective II, Professional Project

The seventh semester includes a three-credit internship together with Reinforcement Learning, Cloud Computing, and Project VI. The final semester combines IoT for Smart City, two electives, and a Professional Project.

Eligibility for Admission

Applicants must have completed twelve years of schooling in the science stream.

They should have either:

  • achieved at least a D+ grade in each 10+2 subject with a CGPA of 2.0 or above; or

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

Students awaiting Grade 12 supplementary examination results or final examination results may apply for the entrance examination, but the required academic documents must be submitted at admission.

Applicants with foreign certificates must submit an equivalence certificate together with subject-wise grading with CGPA or total percentage documentation from the concerned authority.

Entrance Examination

Applicants are required to pass the entrance examination conducted by Purbanchal University.

Project-Based Learning

Project work begins in Semester II and continues through the remaining semesters. Students work under the guidance of an advisor and may work in groups of up to three.

The project structure covers goal setting, planning, research, teamwork, implementation, assessment, report writing, and presentation. The sequence progresses from Project I through Project VI before the Professional Project in Semester VIII.

Elective Areas

The elective options cover several technical areas. These include Image and Video Processing, Surveillance Video Analytics, People Detection and Bio-metric Recognition, Introduction to Statistical Learning, Kernel Methods, Bayesian Data Analysis, Smart Product Development, Predictive Analysis and IoT, Modeling & Simulation, Pervasive Computing, Fundamentals of Big Data Analytics, Data Analysis and Visualization, Business Intelligence, and Social Media Analytics.

Attendance Requirement

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

Assessment and Grading

Assessment differs according to the type of course.

  • Combined theory and laboratory/practical courses: 20% internal assessment, 20% practical assessment, and 60% final examination.

  • Pure theory courses: 20% internal assessment and 80% final examination.

  • Pure laboratory or practical courses: 60% continuous internal evaluation and 40% final viva evaluated by the university.

Semester performance is reported through letter grades ranging from A+ to F, with I used for incomplete status. A+ represents a grade value of 4.00. Students are required to maintain a CGPA of 2.0 or above throughout the program.

Further Study Options

After completing the program, graduates can pursue further academic study in areas listed within the university program, 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

 

FAQ

How long is the B.Tech in AI at Gateway College?

The Bachelor of Technology in Artificial Intelligence runs for four academic years across eight semesters.

Which university is the B.Tech in AI affiliated with?

The program at Gateway College of Professional Studies is affiliated with Purbanchal University.

What is the eligibility for B.Tech in AI?

Applicants must have completed twelve years of schooling in the science stream and meet the prescribed grade or percentage requirement. The minimum is D+ in each 10+2 subject with CGPA 2.0 or above, or at least 45% in 10+2, PCL, or an equivalent science qualification.

Is an entrance examination required?

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

Does the course include project work?

Yes. Project work begins in the second semester and continues through the later semesters, ending with a Professional Project in Semester VIII.

Does B.Tech in AI include an internship?

Yes. Internship is included in Semester VII and carries three credits.

What is the minimum attendance requirement?

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

What CGPA must students maintain?

Students must maintain a CGPA of 2.0 or above during the study period.

Contact Details of Gateway College of Professional Studies, Kathmandu

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