MS in Artificial Intelligence
Designed for students with a strong background in computer science, mathematics, or a related technical field, the MS in Artificial Intelligence curriculum covers core AI concepts and techniques — including machine learning, deep learning, natural language processing, computer vision, and knowledge representation. Students may pursue the degree on a full-time or part-time schedule, all while gathering the skills needed to excel in a rapidly growing field.
The program offers a core curriculum and department-specific tracks to help students understand, implement, and deploy a wide range of AI technologies.
- Core Curriculum: Foundational concepts in artificial intelligence, machine learning, ethics, and mathematics.
- Track One (for CS): Foundations and applications of machine learning and artificial intelligence from a computational perspective, with a strong emphasis on the broader social context in which AI technologies are developed and deployed.
- Track Two (for ECE): Core principles of machine learning and artificial general intelligence with specialized engineering domain knowledge, covering both fundamental and systems concepts in AI and how to apply these methods to diverse domains.
The degree requires a minimum of 30 credits and the fulfillment of at least 10 courses; all courses must be at the 100 level or above.