The goal of the MS in Artificial Intelligence Engineering–Electrical and Computer Engineering degree is for students to gain exposure to the three domain pillars of artificial intelligence:
Producers —develop tools that go beyond black box and align with physical systems Enablers —develop infrastructure needed to realize AI-engineered systems Consumers —use and analyze AI/ML for domain applications
Students will achieve this via the following curriculum:
Students may count up to 27 project units toward their degree requirements.
Students can see course prerequisites in their SIO and Stellic accounts. Prerequisites are typically not enforced for graduate students during registration, but it is a student's responsibility to review this information and to contact course instructors if there is any question about having sufficient preparation or background. If a prerequisite is enforced for a specific course, this information is available in the course "Notes" visible in SIO.
Some courses will list "prerequisite knowledge" as opposted to a specific prerequisite course number (e.g., knowledge of a certain programming language). This information is also visible in SIO.