Artificial Intelligence

Learn sustainable energy technologies

Program Overview

Artificial intelligence has become an important part of our society. It has created opportunities to transform existing structures and models in businesses, the public sector, and society. Machine learning, an important component for building AI applications, is gaining popularity in automated decision-making with the availability of large-scale data and affordable infrastructure. With these developments, skilled AI and ML engineers and data scientists are in high demand with a wide range of career opportunities everywhere. The program aims to give fundamental knowledge and practical skills needed to design, build, and apply AI systems in a chosen area of specialization. Designing application that delivers an impact and contributes to sustainable development is an important aspect of the training. Students will undertake projects relevant to one or more Sustainable Development Goals (SDGs). Furthermore, these goals are introduced in the elective courses along with the use cases in core courses where AI has had an impact. This graduate program has been developed to fill the gap in the availability of skilled AI scientists and engineers in Nepal. The program will offer rigorous training in the foundations and application-oriented artificial intelligence. Graduates of this program will have explored a variety of domains such as agriculture, healthcare, industry automation and social media to contribute to economies and societies. They will be capable of undertaking careers in the industry as well as academia.

Academics Offer
Program Brochure
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Program Brochure of PhD
100%

Program Course Structure

Artificial Intelligence
Semester I Semester II
Course Code Course Title MAS PhD Course Code Course Title MAS PhD
AI-CR-501 Machine learning 3 3 AI-CR-550 Computer Vision 3 3
AI-CR-502 Practical Data Science
with Python
2 2 AI-CR-551 Natural Language
Processing
3 3
AI-CR-503 Group project in
people-centred AI
2 2 AI-EL-561~570 Elective 1 2 2
AI-CR-504 Research Methods for
intelligent Systems
1 `1 GC-CR-501 Development Policy 3 3
GC-NC-550 Entrepreneurship,
Scientific
Communication and
Leadership (4hr)
0 0 AI-NC-553 Case Studies in Ethics
and Fairness in AI (1hr)
0 0
AI-TH-699 Thesis 0 0 AI-TH-699 Thesis 4 4
Semester III Semester IV
Course Code Course Title MAS PhD Course Code Course Title MAS PhD
AI-CR-601 Advanced Topics in
Deep Learning
3 3 AI-TH-699 Thesis 13 13
AI-EL-561~570 Elective II   2 AI-EL-561-570 Elective III   2
AI-TH-699 Thesis 13 13
Semester V Semester VI
Course Code Course Title MAS PhD Course Code Course Title MAS PhD
OA-TH-699 Thesis   10 OA-TH-699 Thesis   11
Total credit for Thesis = 30 credit
Total credit for Master in Applied Sciences course= 52 credit (18 credit core course + 2 credit Technical elective + 2 credit group project + 30 credit Thesis)
Total credit for Thesis = 50 credit
Total credit for Ph.D in Applied Sciences course= 76 credit (18 credit core course + 6 credit Technical elective + 2 credit group project + 50 credit Thesis)
Timeline
Master in Applied Science in Artificial Intelligence
Semester I Semester II Semester III Semester IV
3 Core Course
1 Non-Credit Course
Group formation, project assignment and initiation of project
3 Core Course
1 Non-Credit Course
1 Technical Elective
Continuation and Submission of Group project
Proposal submission to Advisory Committee
Thesis Work Initiation and Thesis Progress Presentation Comprehensive Exam
Thesis Defense
PhD in Applied Science in Artificial Intelligence
Semester I Semester II Semester III Semester IV Semester V Semester VI
• 3 Core Course
• 1 Non-Credit Course
• Group formation, project assignment and initiation of project
• 3 Core Course
• 1 Non-Credit Course
• 1 Technical Elective
• Continuation and Submission of Group project
• 1 Core Course
• 1 Technical Elective
• Proposal submission to Advisory Committee
• 1 Technical Elective
• Thesis Work Initiation and Thesis Progress Presentation
• Thesis Work Initiation and Thesis Progress Presentation • Comprehensive Exam
• Thesis Defense