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.
The following requirements must be fulfilled: 30 credits in required courses.
Course List Code | Title | Credits |
EMSE 6769 | Applied Machine Learning for Engineers | |
EMSE 6820 | Program and Project Management | |
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 6599 | Artificial Intelligence Capstone Project | |
SEAS 8550 | Privacy and Organizational Issues in Artificial Intelligence | |