Applied Artificial Intelligence (BA in Interdisciplinary Studies)
The BA in Applied AI, offered as a BA in Interdisciplinary Studies and managed by the Department of Data Science, prepares students to use contemporary AI tools responsibly and effectively in real-world settings. Intended to complement a broad range of other fields of study, the program emphasizes problem-solving with AI, critical evaluation of outputs, and the ethical, transparent production of high-quality work across disciplines and professions.
The curriculum for the Major in Applied Artificial Intelligence requires 30 credit hours to complete. A minimum of 120 credits are required to fulfill all degree requirements; information on other degree requirements can be found in the catalog section “Requirements for Degrees ”.
Core Courses:
| Code | Title | Hours |
|---|---|---|
| AAI 101 | Reasoning with GenAI | 3 |
| AAI 301 | Designing AI Agents | 3 |
| DATA 201 | Introduction to Data Science & AI | 3 |
| DATA 202 | AI & Data Ethics | 3 |
or PHIL 150 - Philosophy of Technology (4) | ||
| DATA 210 | Research Design and Statistics | 3 |
| DATA 303 | Data Visualization | 3 |
| DATA 405 | Trustworthy AI | 3 |
| Total Hours | 21 | |
Capstone:
| Code | Title | Hours |
|---|---|---|
| AAI 302 | Agentic Coordination | 3 |
| Total Hours | 3 | |
Applied Artificial Intelligence Electives:
| Code | Title | Hours |
|---|---|---|
| Students will select six credits from courses that carry the Applied AI attribute, or approved courses in other disciplines identified in consultation with the students advisor. | 6 | |
| Total Hours | 6 | |