{"id":3007,"date":"2024-10-10T12:05:29","date_gmt":"2024-10-10T16:05:29","guid":{"rendered":"https:\/\/catalogs.wcsu.edu\/grad2425\/?page_id=3007"},"modified":"2025-08-22T11:49:03","modified_gmt":"2025-08-22T15:49:03","slug":"master-of-science-in-artificial-intelligence","status":"publish","type":"page","link":"https:\/\/catalogs.wcsu.edu\/grad\/master-of-science-in-artificial-intelligence\/","title":{"rendered":"MASTER OF SCIENCE IN ARTIFICIAL INTELLIGENCE"},"content":{"rendered":"

MS in Artificial Intelligence<\/strong><\/span><\/h1>\n\n\n\n\n
Dr. Dan Coffman, Graduate Coordinator<\/span><\/td>\nPhone (office): (203) 837-8746<\/span><\/td>\n<\/tr>\n
Higgins Hall 039B<\/span><\/td>\ncoffmand@wcsu.edu\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Faculty:<\/span><\/strong><\/td>\nD. Coffman; S. Band; X. Wu<\/td>\n<\/td>\n<\/tr>\n
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Program Overview and Mission<\/span><\/strong><\/h2>\n

The Master of Science in Artificial Intelligence provides students with a broad and deep knowledge of both practical and theoretical aspects of this modern discipline. Students may complete the program\u2019s 10 courses, totaling 33 credit hours, in one year. After acquiring a solid mathematical and computational foundation in artificial intelligence, students will complete advanced courses in neural networks and deep learning, reinforcement learning and autonomous systems. They will learn the latest techniques in natural language processing, and the also-important ethical and safety considerations of artificial intelligence. Upon successful completion of the first 30 credits of course work, students will either write an original thesis, or complete a final project or approved internship.<\/span><\/p>\n

Program Learning Goals and Outcomes<\/strong><\/span><\/h2>\n
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  1. Identify problems to which artificial intelligence techniques are applicable.<\/span><\/li>\n
  2. Understand a wide variety of learning algorithms.<\/span><\/li>\n
  3. Implement and evaluate neural network models generated from data.<\/span><\/li>\n
  4. Apply contemporary techniques for deep machine learning, reinforcement learning, natural language processing and algorithmic robotics, judge applicability of the techniques.<\/span><\/li>\n
  5. Participate in the design and implementation of systems that act intelligently and learn from experience.<\/span><\/li>\n
  6. Demonstrate an understanding and judgement of the philosophical, humanitarian, ethical and safety aspects of artificial intelligence and apply these aspects when making design and implementation decisions.<\/span><\/li>\n<\/ol>\n
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    Admission Requirements<\/strong><\/span><\/div>\n
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    Successful completion of an undergraduate degree. The following courses from the WCSU course catalog or their equivalents will be required as pre-requisites:<\/span><\/p>\n