Gandaki University has launched the Masters of Information Technology - Artificial Intelligence (MIT-AI) program. This two-year course is designed to be highly practical, integrating aspects of both natural and social sciences to provide a comprehensive education. Each semester, twenty students will be selected through a competitive entrance examination, ensuring that only the most qualified candidates are admitted. This program aims to equip students with cutting-edge skills and knowledge in the rapidly evolving field of AI.
Eligibility
- Bachelor in Physical Sciences, Engineering or IT related fields;
- GPA of 2.5/4 or 50% equivalent.
Curricular Structure
Semester | Course | Credit |
---|---|---|
First | Python Programming with Data Science | 3 |
Statistical Machine Learning | 3 | |
Introductory Artificial Intelligence | 3 | |
Discrete Optimization | 3 | |
Research Methodology | 3 | |
Second | Deep Learning | 3 |
Elective I | 3 | |
Elective II | 3 | |
Algorithms for Graphs and Networks | 3 | |
Seminar | 2 | |
Ethics of AI | 1 | |
Third | Natural Language Processing | 3 |
Computer Vision | 3 | |
Elective III | 3 | |
Business Analytics and IT Strategies | 3 | |
Research Project | 3 | |
Fourth | Thesis | 15 |
Elective I | Elective II | Elective III |
Genetics Science | Fuzzy System | AI and Agriculture |
Big Data Analytics | AI and Information Security | AI and Tourism |
Human Computer Interaction | Quantum Computing | AI and Health |
Intelligent Information Retrieval | Recommendation System | AI and E-Governance |
Social Media Mining | IoT (Smart Computing) | Advanced Computational Methods for Materials |
Computational Material Science |
AI Applications in Material Science |
AI-Driven Material Design |
Students must consult with their graduate advisor to enroll in an elective course. The advisor will assess the student's eligibility for the course based on their undergraduate background, interests, and aptitude. Furthermore, the availability of elective courses will be subject to the university's resources.