Minoring in Artificial Intelligence
William & Mary’s minor in Artificial Intelligence is open to students from all majors, providing an accessible pathway to develop AI knowledge and skills alongside any field of study. Whether paired with computer science, business, government, psychology, biology, or the arts, the minor equips students with a foundation in machine learning, data analysis, and responsible AI use while encouraging interdisciplinary applications. By integrating technical concepts with critical thinking about ethics and societal impact, the AI minor prepares students to bring the power of AI into diverse careers and areas of inquiry.
The minor in Artifical Intelligence requires 19 credits, including the core requirement of these courses:
- CSCI 141 - Introduction to Programming Credits: (4)
- CSCI 243 - Discrete Structures of Computer Science Credits: (3)
- DATA 210 - Research Design and Statistics Credits: (3)
- DATA 301 - Applied Machine Learning Credits: (3)
The remaining credits may be completed by taking two of the following restricted electives (totaling at least 6 Credits)
- CSCI 420 - Topological Data Analysis Credits: (3)
- CSCI 446 - Neural Networks for Machine Learning Credits: (3)
- CSCI 416 - Fundamentals of Artificial Intelligence / Machine Learning Credits: (3)
- CSCI 436 - Data Mining Credits: (3)
- CSCI 455 - Generative Artificial Intelligence for Software Development Credits: (3)
- CSCI 456 - Large Language Models Credits: (3)
- DATA 209 - Applied Linear Algebra & Calculus Credits: (3)
- DATA 440 - Graph Learning Credits: (3)
- DATA 440 - Trustworthy AI Credits: (3)
- DATA 440 - Natural Language Processing Credits: (3)
- DATA 441 - Advanced Applications of AI Credits: (3)
- DATA 442 - Neural Networks & Deep Learning Credits: (3)
- DATA 444 - Agent-Based Modeling Credits: (4)
- DATA 446 - Generative AI Credits: (3)
- DATA 447 - Bayesian Reasoning in Data Science Credits: (3)
- DATA 448 - Reinforcement Learning Credits: (3)