Masters of Information Technology – Artificial Intelligence

Masters of Information Technology – Artificial Intelligence (MIT-AI) at Gandaki University is a 2-year program combining practical and theoretical AI education for advanced IT careers.

Description:
The MIT-AI program spans four semesters over two years, emphasizing practical, research-oriented training in AI. It integrates natural and social sciences to equip students with technical skills in machine learning, deep learning, computer vision, NLP, big data, and AI applications across industries. Admission is competitive, with only twenty students selected per intake through an entrance examination. Students engage in elective coursework, seminars, and a thesis project to develop specialized expertise in AI-driven problem solving.

Curricular Structure:
Semester 1: Python with Data Science, Statistical Machine Learning, Introductory AI, Discrete Optimization, Research Methodology (3 credits each)
Semester 2: Deep Learning, Electives I & II, Algorithms for Graphs & Networks, Seminar, Ethics of AI
Semester 3: NLP, Computer Vision, Elective III, Business Analytics & IT Strategies, Research Project
Semester 4: Thesis (15 credits), three elective courses from AI applications in health, agriculture, tourism, materials science, quantum computing, IoT, and more

Features:

• Practical and research-driven AI curriculum
• Small cohort with competitive selection (20 students per intake)
• Guided electives based on background, interests, and faculty consultation
• Industry-relevant AI applications and advanced computational methods

Program Duration: 2 years
Credit Hours: Varies per semester, includes electives and thesis

Eligibility:

• Bachelor’s degree in Physical Sciences, Engineering, or IT-related fields
• Minimum GPA 2.5/4 or 50% equivalent