Duration 4 Years
Start Date Mangsir 2080

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The B.Tech. in AI program at KCC affiliated with Purbanchal University, is a well-rounded offering combining rigorous academics, strong practical exposure, and solid career pathways in AI. It aligns well with contemporary industry needs and prepares students to be capable AI professionals.

Artificial Intelligence (AI) is revolutionising industries by enabling machines to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and decision-making. Purbanchal University’s Bachelor of Technology in Artificial Intelligence (BTech AI) is designed to equip students with the theoretical knowledge and practical skills needed to excel in this rapidly evolving field. The program integrates core concepts of computer science, machine learning, data science, robotics, and neural networks to prepare graduates for cutting-edge careers in AI.

The B.Tech. in AI is a 4‑year (8‑semester) English‑medium undergraduate program, specifically crafted to train professionals capable of designing intelligent systems—ranging from speech recognition to language processing and decision-making.

Key Features of the Program

  • Industry-Aligned Curriculum: Covers Python, TensorFlow, PyTorch, AI algorithms, and cloud computing.
  • Practical Learning: Labs, projects, and internships with AI companies.
  • Research Opportunities: Access to AI research centres and collaborations.
  • Expert Faculty: Experienced professors and industry professionals.
  • Entrepreneurship Support: Guidance for AI-based startups.
  • Provide a strong foundation in programming, computer science, mathematics, and statistics essential for AI.
  • Introduce AI core concepts: search techniques, game theory, machine learning, neural networks, computer vision, and NLP.
  • Develop skills to build autonomous systems and data-driven decision-making tools.
  • Promote ethical awareness and responsible deployment of AI solutions in real-world settings.
  • Develop expertise in machine learning, deep learning, natural language processing (NLP), and computer vision.
  • Foster problem-solving skills to design AI-driven solutions for real-world challenges.
  • Encourage research and innovation in AI applications across industries like healthcare, finance, robotics, and automation.
  • Prepare graduates for global AI careers with ethical considerations and industry best practices.
  • Duration: 4 years (8 semesters)
  • Seat Capacity: Capped at 48 students per batch.
  • Medium of Instruction: English (with possible Nepali support).
  • Affiliation: Purbanchal University

Mr. Raju Kattel

MCA, Purbanchal University, Assistant Professor

Mr. Saroj Pandey

MCA, Purbanchal University. Deputy HoD, Assistant Professor.

Mr. Ashim KC

MCA, Purbanchal University, Lecturer/Coordinator

Mr. Ram Prasad Niroula

MA Mathematics, MEd Statistics

Mr. Kiran Khanal

MSCIT, Pokhara University. Assistant Professor/ System Administrator

Mr. Ramesh Parajuli

MTech IT (Gold Medalist), ITM University, India Assistant. Professor

Mr. Nishan Lamichane

MSC CSIT(Running), Tribhuwan Univeristy, lecturer

 

Department Administrator

Mr. Binod Khatiwada

Office Assistant

Year I – Semester I

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT101CO Introduction to Programming 3 3 1 2 6
BT102CO Digital Logic 3 3 1 2 6
BT103HS Calculus 3 3 1 0 4
BT104HS Introduction to Artificial Intelligence 3 3 1 0 4
BT105HS Technical Report Writing and Presentation 3 3 1 0 4
BT106HS Society and Professional Ethics 3 3 1 0 4

 Year I – Semester II

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT251CO Object Oriented Programming 3 3 1 2 6
BT252CO AI and Intelligent Systems 3 3 1 2 6
BT253CO Microprocessor and Assembly Language 3 3 1 2 6
BT254CO Probability and Statistics 3 3 1 0 4
BT255HS Linear Algebra 3 3 1 0 4
BT256CO Project I 2 1 0 2 3

Year II – Semester I

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT201CO Database Management System 3 3 1 2 6
BT202CO Data Structure and Algorithm 3 3 1 2 6
BT203CO Computer Organization 3 3 1 0 4
BT204CO Operating System 3 3 1 2 6
BT205HS Differential Equations 3 3 1 0 4
BT206CO Project II 2 0 0 3 3

Year II – Semester II

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT251CO Numerical Methods 3 3 1 2 6
BT252CO Computer Networks 3 3 1 2 6
BT253CO Design and Analysis of Algorithms 3 3 1 0 4
BT254CO Programming for AI (Tools, Techniques, Libraries) 3 3 1 2 6
BT255HS Introduction to Data Science 3 3 1 2 6
BT256CO Project III 2 0 0 3 3

Year III – Semester I

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT301CO Machine Learning 3 3 1 2 6
BT302CO Optimization Techniques 3 3 1 2 6
BT303CO Embedded Systems 3 3 1 2 6
BT304CO Pattern Recognition and Image Processing 3 3 1 2 6
BT305CO Data Warehousing and Mining 3 3 1 2 6
BT306CO Project IV 2 0 0 3 3

Year III – Semester II

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT351CO Object Oriented Software Engineering 3 3 1 2 6
BT352CO Computer Vision 3 3 1 2 6
BT353CO Deep Learning 3 3 1 2 6
BT354CO Speech and Natural Language Processing 3 3 1 2 6
BT355HS Research Methods 3 3 1 0 4
BT356CO Project V 2 0 0 3 3

Year IV – Semester I

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT401CO Internship 3 0 0 3 3
BT402CO Reinforcement Learning 3 3 1 2 6
BT403CO Cloud Computing 3 3 1 2 6
BT404CO Project VI 2 0 0 3 3

Year IV – Semester II

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT451CO IoT for Smart City 3 3 1 2 6
BT452** Elective I 3 3 1 0 4
BT453** Elective II 3 3 1 0 4
BT454CO Professional Project 3 0 1 3 4

Elective Courses

Computer Vision

  • Image and Video Processing
  • Surveillance Video Analytics
  • People Detection and Biometric Recognition

Mathematics

  • Introduction to Statistical Learning
  • Optimization Methods in Machine Learning / Convex Optimization
  • Kernel Methods
  • Bayesian Data Analysis

Computing / IoT

  • Smart Product Development
  • Predictive Analysis and IoT
  • Modeling & Simulation
  • Pervasive Computing

Data Science

  • Fundamentals of Big Data Analytics
  • Data Analysis and Visualization

Business Intelligence

  • Social Media Analytics

Graduates of BTech AI can pursue diverse roles in both national and international markets, including:

  • AI Engineer / Developer
  • Machine Learning Engineer
  • Data Scientist / Analyst
  • Computer Vision or NLP Engineer
  • Robotics Specialist
  • AI Researcher or Consultant
  • AI Engineer / Machine Learning Engineer
  • Data Scientist / Data Analyst
  • Robotics Engineer
  • NLP (Natural Language Processing) Specialist
  • AI Research Scientist
  • Business Intelligence Developer
  • AI Consultant

 

Industries hiring AI professionals include:

✔ IT & Software Development

✔ Healthcare & Biotechnology

✔ Finance & Banking

✔ Automotive & Robotics

✔ E-commerce & Marketing

✔ Government & Defense

They can seek employment in cutting-edge sectors including tech firms, startups, research labs, healthcare, finance, and academic institutions. The program’s industry connections further support internships and job placement.

Testimonials

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