The master of engineering (MEng) in artificial intelligence and machine learning program is a comprehensive and advanced academic offering designed to cultivate expertise in the rapidly evolving fields of AI and machine learning. The program ensures a balance of theoretical understanding and practical skills, providing students with a robust foundation in quantitative approaches with a capstone project facilitating the application of acquired knowledge to real-world problems.
This is a STEM designated program.
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The following requirements must be fulfilled: 30 credits in required courses.
Course List | Code | Title | Credits |
| ECE 6210 | Machine Intelligence | |
| SEAS 6413 | Cloud and Big Data Management | |
| SEAS 6414 | Python Applications in Data Analytics | |
| SEAS 6505 | Quantitative Foundations in AI | |
| SEAS 6510 | Natural Language Processing with Deep Learning | |
| SEAS 6515 | Introduction to Computer Vision | |
| SEAS 6520 | Autonomous Systems and Robotics | |
| SEAS 6525 | Secure and Trustworthy AI | |
| SEAS 6599 | Artificial Intelligence Capstone Project | |
| SEAS 8550 | Artificial Intelligence Law and Ethics | |