Artificial Intelligence, Master of Science (M.S.)
| Course | Title | Credits |
|---|---|---|
| Core | ||
| MSAI601 | Probability and Statistics (Probability and Statistics) | 3 |
| MSAI602 | Principles of Data Science (Principles of Data Science) | 3 |
| MSAI603 | Principles of Machine Learning (Principles of Machine Learning) | 3 |
| MSAI605 | Computing Systems for Machine Learning (Computing Systems for AI) | 3 |
| MSAI606 | (Human-Centered and Participatory Approaches to AI) | 3 |
| MSAI630 | (Safe and Trustworthy AI) | 3 |
| MSAI631 | (AI and Society) | 3 |
| Electives | 9 | |
MSAI632 | (Generative AI) | |
MSAI633 | (AI Policy) | |
MSAI634 | (AI in Engineering) | |
MSAI604 | (Introduction to Optimization for AI) | |
| Deep Learning (Deep Learning for AI) | ||
| Computer Vision (Computer Vision for AI) | ||
| Natural Language Processing (Natural Language Processing for AI) | ||
MSAI642 | (Robotics for AI) | |
MSAI650 | (Cloud Computing for AI) | |
MSAI651 | (Big Data Analytics for AI) | |
MSAI635 | (Reinforcement Learning) | |
MSAI636 | (Explainable and Interpretable AI) | |
MSAI660 | (Probabilistic Graphical Models and Bayesian Learning) | |
MSAI661 | (Causal Inference and AI Decision Making) | |
MSAI662 | (Adversarial Machine) | |
MSAI663 | (Graph Neural Networks and Structured Data Learning) | |
MSAI664 | (Meta-Learning and Few-Shot Learning) | |
MSAI665 | (AI for Healthcare and Biomedical Applications) | |
MSAI666 | (AI for Cybersecurity) | |
MSAI667 | (AI for Finance and Algorithmic Trading) | |
MSAI670 | (Applied Ethics of AI) | |
| Total Credits | 30 | |