Key Takeaways
- Virginia Tech is launching an 18‑credit‑hour undergraduate minor in artificial intelligence open to any major, with applications opening in August.
- The program was deliberately designed for the whole university, incorporating input from arts, social sciences, philosophy, public policy, and other disciplines.
- Core components include a technical foundation (programming, computational problem solving, AI concepts), a required ethics strand, and interdisciplinary application modules that let students tie AI to their specific field of study.
- Sample courses range from “AI, Creativity, and the Art of Being Human” to “Ethical Perspectives on Artificial Intelligence” and “AI in Filmmaking,” with more classes under review.
- Faculty emphasize that AI literacy is now essential across professions, and graduates who understand how to use AI responsibly will have a competitive edge in the job market.
Program Overview and Accessibility
Virginia Tech’s new undergraduate minor in artificial intelligence (AI) will be available to students of any major beginning this fall. Applications open in August, and incoming undergraduates can start adding eligible courses to their schedules this month. As Christine Julien, head of the Department of Computer Science, explained, “Regardless of major, today’s students are entering a workforce where AI will be part of nearly every profession.” The minor aims to equip graduates with the ability to understand how AI works, evaluate it critically, and apply it responsibly within their own disciplines.
Deliberate, University‑Wide Design
Unlike many AI‑focused programs that start in computer science and later open to other fields, Virginia Tech’s minor was built from the ground up to serve the entire university. Julien noted, “We made a deliberate choice: Instead of building something for computer science students and opening it to others, we built it from the start for the whole university.” This approach involved convening faculty from the arts, social sciences, philosophy, public policy, and beyond, allowing student needs in each area to shape the curriculum’s structure.
Interdisciplinary Collaboration in Action
Jeffrey Loeffert, director of the School of Performing Arts and a working musician, highlighted the value of cross‑disciplinary input. “When we combine expertise from different disciplines, we create opportunities for students to explore new ideas and develop skills that wouldn’t emerge within a single field alone. That’s what makes this minor so exciting,” he said. Loeffert also observed that arts administrators often tell students to worry less about losing jobs to AI and more about losing jobs to people who know how to use AI—a sentiment echoed by industry partners seeking AI‑literate, adaptable hires.
Technical Foundation Requirements
All students pursuing the AI minor must complete a technical foundation that covers programming, computational problem solving, and artificial intelligence concepts in practice. This core ensures that every participant gains a hands‑on understanding of how AI systems are built and operate, regardless of their primary area of study. By grounding the minor in these essential skills, Virginia Tech aims to demystify the technology and enable students to engage with AI tools confidently and critically.
Ethics Component and Responsible Use
A mandatory ethics strand draws on courses from computer science, philosophy, and business, reflecting the program’s commitment to responsible AI use. Julien stressed that graduates should not only know how to apply AI but also how to evaluate its societal implications. Required classes such as “Ethical Perspectives on Artificial Intelligence” (PHIL 3334) and “Data Governance, Privacy, and Ethics” (BIT 4604) encourage students to examine bias, fairness, privacy, and the broader impact of AI on communities and institutions.
Interdisciplinary Application Modules
Beyond the technical and ethics cores, the minor offers purposefully curated pathways in the arts, social sciences, and humanities. Students can select from a diverse menu of courses that link AI concepts directly to their academic interests. For example, a theatre major might explore “AI in Filmmaking” (CINE 2014) or the forthcoming “AI in Theatre: Applications and Impacts,” while a public policy student could examine how AI influences governance through courses like “Algorithms and Society” (CS/STS 4014). This structure allows each learner to carve out a meaningful, field‑specific trajectory within the AI minor.
Sample Course Offerings
The program’s current catalog highlights several interdisciplinary options that illustrate its breadth:
- AI, Creativity, and the Art of Being Human (ENGL 2024) – examines how AI intersects with artistic expression and human identity.
- AI and Global Languages (FL 2744) – explores language processing technologies across cultures.
- The Skeptic’s Guide to AI (PHIL 1404) – encourages critical questioning of AI claims and limitations.
- AI in Filmmaking (CINE 2014) – looks at AI‑driven editing, visual effects, and storytelling tools.
- AI in Music (MUS 2014) – investigates algorithmic composition, sound synthesis, and performance aids.
- Algorithms and Society (CS/STS 4014) – analyzes the social ramifications of algorithmic decision‑making.
- Ethical Perspectives on Artificial Intelligence (PHIL 3334) – delves into moral frameworks for AI development and deployment.
- Data Governance, Privacy, and Ethics (BIT 4604) – addresses legal and ethical challenges surrounding data use.
These classes demonstrate how the minor tailors AI education to varied disciplinary lenses while maintaining a common technical and ethical core.
Future Expansion and Student Enrollment
Julien indicated that the minor’s offerings will continue to grow as new courses receive approval. One class already under review is “AI in Theatre: Applications and Impacts,” signaling the program’s responsiveness to emerging interests across campus. Incoming students interested in the minor can review requirements and begin enrolling in prerequisite‑free courses now, with the formal declaration process opening through the College of Engineering on August 3. This flexible enrollment model allows students to integrate AI studies into their existing academic plans without delay.
Closing Perspective on Workforce readiness
As Loeffert summarized, the ultimate goal is to prepare Virginia Tech graduates for a labor market where AI fluency is a differentiator. “They hire prospective employees who have a high degree of AI literacy and an ability to adapt as the tools and technologies change,” he reported from industry conversations. By providing a universally accessible, ethically grounded, and technically robust AI minor, Virginia Tech aims to ensure that its students—not just computer scientists—are equipped to thrive in and shape an AI‑augmented future.
https://news.vt.edu/content/news_vt_edu/en/articles/2026/06/eng-cs-interdisciplinary-minor-for-all-launching-soon.html