The following requirements must be fulfilled: 48 credits, including 24 credits in required courses and 24 credits in research (Praxis).
| Code | Title | Credits |
|---|---|---|
| Required | ||
| Coursework phase | ||
| SEAS 6414 | Python Applications in Data Analytics | |
| SEAS 8500 | Fundamentals of AI-Enabled Systems | |
| SEAS 8505 | Applied Machine Intelligence and Reinforcement Learning | |
| SEAS 8510 | Analytical Methods for Machine Learning | |
| SEAS 8515 | Data Engineering for Artificial Intelligence | |
| SEAS 8520 | Deep Learning and Natural Language Processing | |
| SEAS 8525 | Computer Vision and Generative AI | |
| SEAS 8599 | Praxis Development for Artificial Intelligence | |
| Research phase | ||
| SEAS 8588 | Praxis Research for Doctor of Engineering in Artificial Intelligence and Machine Learning (taken for a total of 24 credits) | |