MS in Artificial Intelligence
Designed for students with a background in computer science, mathematics, or a related technical field, the MS in Artificial Intelligence curriculum covers 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: In-depth concepts in artificial intelligence, machine learning, ethics, and mathematics.
- MSAI – Electrical and Computer Engineering: Integrate 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.
- MSAI – Computer Science: Principles 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.
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.