The MSAI program consists of 30 credit hours. The seven courses (21 credits) consist of six lecture courses and one graduate project. The lecture courses provide the students with AI knowledge, and the graduate project will be managed as a directed study course, that can be composed of student teams of two or three members guided by the faculty. Students may enroll in the graduate project after the completion of the six (6) core courses and concurrently with the specialization courses.
The students will select three courses (nine credits) from a specialization. The program will start with specializations in “Connected Vehicles” from the ECE Department and “Data Science” from the MCS Department. Future planned specializations are included in the list below to communicate the long-term goals of the program.
- Connected Vehicles consisting of Connected Vehicle Technologies, Computer Vision, and Advanced Deep Learning
- Data Science consisting of Machine Learning and Neural Networks, Social Network Mining, Text Mining and Analytics, and Applied Machine Learning
- Robotics and Sensors consisting of Bioinspired Robotics, Interface and Control of Robotics, Application of Artificial Intelligence, Intelligent Robotics with ROS
- consisting of Computer Network Cyber Security, Embedded Networking, Computer Networking, Cybersecurity, Management Information Systems
The graduate project will serve as a practicum and a practical excursion building AI application or a graduate project in AI.
Master of Science in Artificial Intelligence Flowchart 2023