Bachelor of Technology in Artificial Intelligence (BTech AI) is a four-year undergraduate program designed to provide students with strong knowledge in artificial intelligence, machine learning, and modern computing technologies. The course focuses on developing intelligent systems that can analyze data, learn from experience, and make automated decisions. Students gain skills in programming, data science, algorithms, neural networks, robotics, and natural language processing. The program combines theoretical knowledge with practical projects and research, preparing graduates to work in fields such as AI development, data science, automation, and advanced software engineering.
Overview
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Course Info
Affilation Kathmandu University (KU) Duration 4 Years Institute Type College Average Fees Incurred NPR 9.6 L for 4 years Average Salary Offered NPR 40,000–100,000/month Employment Roles AI Engineer
Machine Learning Engineer
Data Scientist
Software Developer
Robotics Engineer
AI Researcher
Data Analyst
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Admission Criteria
Must pass +2 Science or equivalent.
Must have Physics and Mathematics subjects.
Minimum 50% marks or GPA 2.0.
Must pass Kathmandu University entrance exam (KUCAT).
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Salient Features
Focus on Artificial Intelligence and Machine Learning
Strong foundation in programming and data science
Includes practical labs and projects
Covers modern technologies like neural networks and robotics
Prepares students for AI and software industry car
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Eligibility
Must complete +2 Science or equivalent.
Must study Physics and Mathematics in Grade 11–12.
Minimum 50% marks or GPA 2.0.
Must pass Kathmandu University entrance exam (KUCAT).
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Job Prospectus
Artificial Intelligence Engineer
Machine Learning Engineer
Data Scientist
Software Developer
Robotics Engineer
AI Researcher
Data Analyst
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Curricular Structure
The BTech AI program is usually spread over 8 semesters (4 years) and includes both theoretical and practical subjects. Major subjects include:
Foundation / Core Subjects
Mathematics for Computing
Physics for Engineers
Programming (C, C++, Python)
Data Structures and Algorithms
Database Management Systems
Operating Systems
Artificial Intelligence / Specialized Subjects
Artificial Intelligence
Machine Learning
Neural Networks and Deep Learning
Computer Vision
Natural Language Processing (NLP)
Big Data and Data Science
Robotics and Automation
Practical / Project Work
AI Lab and Programming Lab
Capstone Project / Research Project
Internship in AI / IT Companies
Electives / Optional Subjects
Cloud Computing
Cybersecurity
Software Engineering
The curriculum combines theory, lab work, and real-world projects to prepare students for AI and IT careers.
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