Academic Program Proposal

Date Proposal Activated	Institution and Proposal	Degree Awarded	Academic Program Name	Objection Deadline
	University of Maryland, Baltimore County Proposal	Master of Science (M.S.)	Artificial Intelligence	4/1/2026
Artificial Intelligence Program Description
Students completing the MS in AI will be expected to <br> <br>a) Acquire a deep understanding of core AI principles, including search algorithms, reasoning, and learning, through Principles of Artificial Intelligence (CMSC 671) and Machine Learning (CMSC 678). (SLO-1) <br> <br>b) Expand their expertise by selecting electives from Bucket A, covering computer vision, natural language processing, neural networks, and robotics, equipping them with the necessary knowledge to work on specialized AI applications. (SLO-2) <br> <br>c) Develop strong computational abilities through electives in Bucket B in data visualization, 799 algorithm design, numerical computation, symbolic processing, and multi-agent systems, enabling them to solve complex AI-related problems. (SLO-3) <br> <br>d) Thesis Track: Conduct independent research (CMSC 799), exploring advanced AI methodologies, designing experiments, and contributing to the field through novel findings and technical publications. (SLO-4A) <br> <br>e) Non-Thesis Track: Complete additional coursework and may participate in independent studies or internships, preparing them for AI-driven roles in industry and applied research. (SLO-4B) <br> <br>f) Stay updated on emerging AI trends and deepen their technical knowledge in areas of personal or professional interest through special topics courses (CMSC 691) an <br>independent study opportunities (CMSC 696, CMSC 699) (SLO-5)