Overview
B.Tech in Artificial Intelligence at Kantipur City College
The Bachelor of Technology in Artificial Intelligence at Kantipur City College (KCC), Putalisadak, Kathmandu, is a four-year bachelor’s program affiliated with Purbanchal University. The course runs across eight semesters and covers programming, computing systems, mathematics, artificial intelligence, data science, research, projects, and practical work.
Students begin semester projects in the second semester and later complete an internship and professional project. Applicants must have completed twelve years of schooling in the science stream and pass the entrance examination conducted by Purbanchal University. English is used for instruction and examinations.

Quick Highlights
| Field | Details |
|---|---|
| Course: | Bachelor of Technology in Artificial Intelligence |
| College: | Kantipur City College |
| Location: | Putalisadak, Kathmandu, Nepal |
| Affiliation: | Purbanchal University |
| Level: | Bachelor’s degree |
| Duration: | Four academic years |
| Academic Structure: | Eight semesters |
| Entrance: | Purbanchal University entrance examination |
| Medium: | English |
| Attendance: | At least 80% |
| Practical Components: | Laboratories, semester projects, internship, electives, and professional project |
Course Overview
The B.Tech in Artificial Intelligence combines computing foundations with mathematics, programming, artificial intelligence, data science, and project work. The early semesters introduce programming, digital logic, calculus, probability, statistics, linear algebra, computer organization, databases, and operating systems.
The later semesters cover Programming for AI, Machine Learning, Pattern Recognition and Image Processing, Data Warehousing and Mining, Deep Learning, Speech and Natural Language Processing, Reinforcement Learning, Cloud Computing, and IoT for Smart City. The structure also includes research methods, an internship, elective courses, and a final professional project.
Eligibility and Admission
Applicants must have completed twelve years of schooling in the science stream and meet one of the following academic requirements:
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Minimum D+ grade in each subject of 10+2 with a CGPA of 2.0 or above
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Minimum second division, or 45% marks, in 10+2, PCL, or an equivalent science qualification
Students waiting for a Grade 12 supplementary examination may apply, but they must submit the required academic documents during admission. Students who have appeared in the final examination and are waiting for results or certificates may also sit for the entrance examination.
Applicants with foreign academic certificates must submit an equivalence certificate and subject-wise grading, CGPA, or percentage records from the concerned authority. Admission requires passing the entrance examination conducted by Purbanchal University.
Curriculum Structure
First Year
Semester I: Introduction to Programming, Digital Logic, Calculus, Introduction to Artificial Intelligence, Technical Report Writing and Presentation, and Society and Professional Ethics.
Semester II: Object Oriented Programming, Artificial Intelligence and Intelligent Systems, Microprocessor and Assembly Language, Probability and Statistics, Linear Algebra, and Project I.
Second Year
Semester I: Database Management System, Data Structure and Algorithm, Computer Organization, Operating System, Differential Equations, and Project II.
Semester II: Numerical Methods, Computer Networks, Design and Analysis of Algorithms, Programming for AI (Tools, Techniques and Libraries), Introduction to Data Science, and Project III.
Third Year
Semester I: Machine Learning, Optimization Techniques, Embedded Systems, Pattern Recognition and Image Processing, Data Warehousing and Mining, and Project IV.
Semester II: Object Oriented Software Engineering, Computer Vision, Deep Learning, Speech and Natural Language Processing, Research Methods, and Project V.
Fourth Year
Semester I: Internship, Reinforcement Learning, Cloud Computing, and Project VI.
Semester II: IoT for Smart City, Elective I, Elective II, and Professional Project.
The elective areas include Computer Vision, Mathematics, Computing/IoT, and Data Science. Listed options cover subjects such as Image and Video Processing, Surveillance Video Analytics, Introduction to Statistical Learning, Bayesian Data Analysis, Smart Product Development, Modeling and Simulation, Fundamentals of Big Data Analytics, Business Intelligence, and Social Media Analytics.
Projects, Internship, and Practical Work
Project work begins in the second semester and continues through the remaining semesters. Students apply concepts from other courses while completing a project during each semester.
Project groups may include up to three students working under a group adviser. The project process develops experience in goal setting, planning, research, teamwork, implementation, assessment, report writing, and presentation. The fourth year also includes an internship with practical and fieldwork components, followed by a professional project in the final semester.
Attendance, Evaluation, and Grading
Students must maintain at least 80% attendance in lectures, tests, and tutorial classes to qualify for the final examination of a subject.
Assessment includes class or tutorial participation, assignments, laboratory work, class tests, quizzes, practical evaluation, and end-semester examinations.
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Combined theory and laboratory courses: 20% internal, 20% practical, and 60% final examination
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Theory courses: 20% internal and 80% final examination
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Laboratory courses: 60% continuous internal evaluation and 40% final viva
Grades used in the program are A+, A, B+, B, C, D, F, and I. Students must maintain a CGPA of 2.0 or above throughout the study period.
Further Study Options
Graduates may continue to programs such as:
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Master of Technology in Artificial Intelligence
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Master of Science in Artificial Intelligence
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Master of Computer Application
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Master of Information Technology
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Master of Science in Computer Science
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Master of Science in Computer Information Systems
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Master of Business Administration
Academic Environment at Kantipur City College
Kantipur City College was established in 2010 AD in Putalisadak, Kathmandu. The college is affiliated with Purbanchal University and has a multidisciplinary academic setting covering computing, engineering, management, and communication programs.
KCC’s student support framework includes mentoring, counseling, alumni networking, progress monitoring, project-based academic activities, research participation, and collaboration with business, industry, and community partners.
Scholarships
KCC has Full, Sponsored, and KCC Merit Scholarship categories. Scholarship assessment may consider PCL or 10+2 marks, the KCC Scholarship Test, an interview, and aggregate performance.
FAQ
What is the duration of the B.Tech in Artificial Intelligence?
The program lasts four academic years and is divided into eight semesters.
Which university is the course affiliated with?
The B.Tech in Artificial Intelligence at Kantipur City College is affiliated with Purbanchal University.
Is an entrance examination required?
Yes. Applicants must pass the entrance examination conducted by Purbanchal University.
What is the minimum academic eligibility?
Applicants need a science qualification with at least D+ in each 10+2 subject and a CGPA of 2.0, or at least second division or 45% marks in 10+2, PCL, or an equivalent science program.
What is the medium of instruction?
English is the medium of instruction and examination.
Does the course include project work?
Yes. Project work begins in the second semester and continues through the remaining semesters. The curriculum also includes an internship and professional project.
What attendance percentage is required?
Students must maintain at least 80% attendance in lectures, tests, and tutorial classes to qualify for final examinations.


















