MTech in Artificial Intelligence (M Tech in AI)
University
Kathmandu University
Duration
2 years
Fee
Rs. 395000
Colleges
1+
Summary
SHORT DESCRIPTION
Two-year full-time postgraduate program focused on advanced AI computation, machine learning, neural networks, big-data analytics, evolutionary systems, and applied intelligent technologies.
DESCRIPTION
Builds high-level competence in AI theory and applications, emphasizing machine learning, deep neural networks, computational intelligence, data analytics, computer vision, IoT, and intelligent systems. Structured to provide rigorous mathematical grounding, algorithmic understanding, and practical implementation skills. Integrates applied research, experimental testing, and real-world problem solving in areas such as health, security, automation, and industrial optimization. Includes cluster cores, application modules, guided coursework, and a major thesis.
Description
CURRICULAR STRUCTURE (TABLE)
Artificial Intelligence Cluster Core (AICC)
| Code | Subject | Credit |
|---|---|---|
| 500 | Artificial Intelligence | 2+1 |
| 501 | Machine Learning | 2+1 |
| 502 | Data Analytics | 2+1 |
| 503 | Computational Intelligence | 2+1 |
| 504 | Deep Neural Networks | 2+1 |
| 505 | Intelligent System | 3 |
Artificial Intelligence Application Cluster (AIAC)
| Code | Subject | Credit |
|---|---|---|
| 530 | Big Data Analytics | 3 |
| 531 | Deep Learning | 2+1 |
| 532 | Internet of Things (IoV, IoH, IoP) | 3 |
| 533 | Evolutionary Computation | 2+1 |
| 534 | Computer Vision | 2+1 |
| 535 | Image Processing | 2+1 |
| 536 | Natural Image Processing | 2+1 |
| 537 | Recommendation System | 2+1 |
| 538 | Intelligent Information Retrieval | 2+1 |
| 539 | Knowledge Representation & Reasoning | 3 |
| 550 | Expert System Design | 2+1 |
| 551 | Robotic Design | 2+1 |
| 552 | Human Computer Interaction | 3 |
| 553 | Software Design | 2+1 |
| 554 | Problem Solving Agents | 3 |
| 555 | Predictive Modeling | 2+1 |
| 556 | Quantum Computing | 2+1 |
Artificial Intelligence Mathematical Analysis (AIMA)
| Code | Subject | Credit |
|---|---|---|
| 500 | Computational Statistics and Probability | 3 |
| 501 | Statistical Methods for AI Applications | 3 |
| 502 | Probabilistic Graphical Models | 3 |
| 503 | Fuzzy Systems | 3 |
| 504 | Discrete Multivariate Modeling | 3 |
| 505 | Computational Numerical Methods | 3 |
| 506 | Optimization Techniques | 3 |
Artificial Intelligence Research Work (AIRW)
| Code | Subject | Credit |
|---|---|---|
| 530 | Research Techniques for Computer Science | 3 |
| 531 | Topics in Data Science | 3 |
| 532 | AI and Society | 3 |
| 533 | Topics in AI | 3 |
| 534 | Seminar | 3 |
| 535 | Thesis | 15 |
Artificial Intelligence Guided Course (AIGC)
| Code | Subject | Credit |
|---|---|---|
| 651 | Guided Course | 3 |
Features
FEATURES
- Aligned with global AI workforce demand
- Supports Nepal’s Digital Nepal Framework
- Strong programming, ML, DL, and data-analytics orientation
- Application-driven: health, security, robotics, automation, industry
- Research-intensive with a 15-credit thesis
- Multi-cluster structure allowing skill depth and breadth
- Entrance test with objective+subjective components
FEE
- NPR 395,000 total (ordinary Nepali students)
- Sponsored + SAARC: 1.5×
- Other international: 2×
- Admission-time payment: NPR 136,000
Admission Process
ADMISSION PROCESS (POINTS)
- Undergraduate engineering/technology/architecture/computer-application degree
- Or 16 years of science-stream education
- Or MSc in physics/chemistry/maths/statistics/related fields
- Minimum 50% or CGPA 2.0
- Written entrance test (1.5 hours, 70% weight)
- Minimum 40 marks required to qualify for interview
- Final selection based on combined merit (test + interview)
Job Prospects
JOB PROSPECTS
- Machine-learning engineer
- AI engineer
- Data scientist
- Deep-learning specialist
- Computer-vision engineer
- NLP engineer
- Data and AI solutions architect
- Robotics and intelligent-systems developer
- Big-data analyst
- Research engineer in AI
- AI consultant for industry, security, health, and automation
Colleges Offering This Course
Kathmandu University School of Engineering
No entrance requirements available
No curriculum information available
Contact the university for detailed curriculum information