This is the preliminary (or launch) version of the 2025-2026 VCU Bulletin. Courses that expose students to cutting-edge content and transformative learning may be added and notification of additional program approvals may be received prior to finalization. General education program content is also subject to change. The final edition and full PDF version will include these updates and will be available in August prior to the beginning of the fall semester.
The minor in AI studies in humanities and sciences provides an overview of the study of artificial intelligence from perspectives of different disciplines in the humanities and the sciences. It is meant to be accessible to all majors at VCU and designed to be flexible and serve the interests of individual students. The minor consists of a total of 18 credit hours, with a minimum of nine credit hours at the 300 level or higher. Students choosing the minor should expect that not all classes are offered each term. Students must achieve an overall GPA of 2.0 in all courses counted toward the minor.
Some courses have restrictions and/or prerequisites. Students should work with their adviser to plan the best courses for them, including possible overrides.
| Course | Title | Hours |
|---|---|---|
| Select courses from the list below (including a minimum of nine credits at the 300 level or higher): | 18 | |
| Language, Society, and AI: Sociolinguistic Perspectives | ||
| Digital Rhetoric | ||
| Personal Knowledge Management: Building Your AI-Supported Second Brain | ||
| AI in Intercultural Communication | ||
| Algorithmic Inequalities: Gender, Race and Power in Big Tech | ||
| Computer Cultures and AI | ||
| Climate Change and AI: A History | ||
| Artificial Intelligence for Health Promotion and Disease Prevention | ||
| Topics in AI | ||
| AI in Life Sciences: ____ | ||
| AI in Mass Media | ||
| Creativity With AI | ||
| Strategic Communication With AI | ||
| Storytelling With AI | ||
| The Language of Artificial Intelligence | ||
| Linear Algebra | ||
| Mathematical Foundations for Artificial Intelligence | ||
| AI, Texts and Cultures | ||
| Ethics of Artificial Intelligence | ||
| Philosophy of Artificial Intelligence | ||
| AI Governance and Ethics | ||
| Introduction to Complexity Science in AI Era | ||
| Data Science for AI | ||
| Statistical Computing for Machine Learning and Artificial Intelligence | ||
| Total Hours | 18 | |