info@educhautari.com 98133711716

B.Tech Artificial Intelligence

Overview

Bachelor of Technology in Artificial Intelligence (B.Tech AI) at Kathmandu University is a 4-year undergraduate program focused on the principles, design, and implementation of AI systems. It covers machine learning, deep learning, natural language processing, robotics, computer vision, and AI-based software development. The program emphasizes practical skills and projects to prepare students for careers in AI research, development, and industry applications.

  • Course Info

    Affilation Kathmandu University (KU)
    Duration 4 Years
    Institute Type College
    Average Fees Incurred Around NPR 9–10 Lakhs total
    Average Salary Offered NPR 30,000 – 70,000 per month (freshers)
    Employment Roles
    • AI / Machine Learning Engineer
    • Data Scientist / Analyst
    • Robotics Engineer
    • AI Software Developer
    • Researcher in AI / Deep Learning
    • IT Consultant in AI solutions
    • AI Project Manager

  • Admission Criteria

    • +2 Science or equivalent (Mathematics compulsory)
    • Minimum 50% marks or 2.4 GPA
    • Must pass KUCAT entrance exam
    • Admission based on merit (rank)

  • Salient Features

    • Focus on AI, machine learning, and robotics
    • Hands-on programming and AI lab sessions
    • Project-based learning with real-world AI applications
    • Internship opportunities in AI and IT companies
    • Exposure to data analytics, NLP, computer vision, and deep learning
    • Final year AI project
    • Industry-oriented curriculum for AI and technology careers

  • Eligibility

    • +2 Science or equivalent with Mathematics
    • Minimum 50% or 2.4 GPA
    • Must pass KUCAT entrance exam

  • Job Prospectus

    • AI / Machine Learning Engineer
    • Data Scientist / Analyst
    • Robotics Engineer
    • AI Software Developer
    • Researcher in AI / Deep Learning
    • IT Consultant in AI solutions
    • Opportunities for higher studies (M.Tech / M.Sc. in AI, Data Science, or Machine Learning)

  • Curricular Structure

    First Year (Foundation Level)

    • Mathematics I & II
    • Physics
    • Basic Programming
    • Computer Fundamentals
    • Communication Skills
    • Engineering Basics

    Second Year (Core AI Concepts)

    • Data Structures and Algorithms
    • Object-Oriented Programming
    • Database Management Systems
    • Networking Fundamentals
    • Introduction to Artificial Intelligence
    • Programming Lab Practicals

    Third Year (Advanced AI Concepts)

    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Computer Vision
    • Robotics Fundamentals
    • AI Lab Practicals

    Fourth Year (Specialization + Professional Practice)

    • Advanced Machine Learning / Deep Learning
    • AI Project Management
    • Electives (e.g., AI in Healthcare, AI in Cybersecurity, Reinforcement Learning)
    • Internship / Industrial Training
    • Final Year AI Project

Interested in this course?

Apply Now