Artificial Intelligence Concentration
The College of Arts and Sciences (A&S) and the School of Engineering and Applied Science (SEAS) now offer concentrations in Artificial Intelligence (AI) under the BA and BS in Computer Science degree programs, effective Fall 2026. Both concentrations are designed to provide a rigorous foundation in modern AI and machine learning, in response to well-documented academic trends and workforce needs.
The AI concentration in each major is focused around two foundation courses and two elective courses, each requiring 12 credits total:
- 6 credits of foundation coursework (2 courses) in Artificial Intelligence and Machine Learning.
- 6 credits of elective coursework (2 courses) chosen from curated lists for each concentration.
Concentrations will appear on a student’s transcript, but not on their diploma. Courses that count for the concentration can also count for any other major or minor requirement. More information is found on the department’s info page.
Declaring the AI Concentration
- BSCS Majors: Submit a change of major form to the SEAS office to add the concentration.
- BACS Majors: Choose the concentration via AirTable (when available - coming soon).
BSCS AI Concentration
Learning Outcomes
- Master foundational AI/ML methods and theory.
- Implement and evaluate models using modern software tools and best practices.
- Assess applications and societal implications of AI in engineering contexts.
- Communicate findings to technical and non‑technical audiences.
For the concentration in Artificial Intelligence, students are required to complete four courses (12 credits) as described below.
Required Courses
Students must complete the following two courses:
- CS 4710 - Artificial Intelligence — 3 credits
- CS 4774 - Machine Learning — 3 credits
AI Techniques Elective (3 credits)
Students must complete one of the following:
- CS 4501 - Special Topics in Computer Science — 3 credits
- Approved Topic: Machine Learning in Image Analysis
- Approved Topic: Autonomous Vehicles
- Approved Topic: Computer Vision
- CS 4770 - Natural Language Processing — 3 credits
- CS 4771 - Reinforcement Learning — 3 credits
AI Applications & Impacts Elective (3 credits)
Students must complete one of the following:
- CS 4501 - Special Topics in Computer Science — 3 credits
- Approved Topic: AI and Humanity
- Approved Topic: Carbon Efficient Computing
- Approved Topic: Law and AI
- Approved Topic: AI-Powered Cybersecurity
- Approved Topic: LLMs and Software Engineering
- Approved Topic: Risks and Benefits of Generative AI and LLMs
- COMM 4211 - The Ethics of Artificial Intelligence — 3 credits
- ECON 4444 - Artificial Intelligence and the Future of Work — 3 credits
- MDST 3510 - Topics in Media Research — 3 credits
- Approved Topic: AI Policy and Society
BACS AI Concentration
- Connect AI methods to interdisciplinary contexts in the College of Arts & Sciences.
- Critically evaluate applications and impacts of AI across domains.
- Use data and algorithmic tools to address cross‑domain questions.
- Communicate to broad audiences, integrating technical and societal perspectives.
For the concentration in Artificial Intelligence, students are required to complete four courses (12 credits) as described below. Each course also satisfies a major requirement for the BACS, so the concentration can be completed without taking courses beyond what is required to complete the major.
AI Concentration Core
Students must complete the following two courses, which also satisfy the CS Restricted Electives for the BACS major requirements:
- CS 4710 - Artificial Intelligence — 3 credits
- CS 4774 - Machine Learning — 3 credits
AI Concentration Electives
Students must also complete two courses from the following pre-approved list:
- CS 4770 - Natural Language Processing — 3 credits
- CS 4771 - Reinforcement Learning — 3 credits
- ECON 4444 - Artificial Intelligence and the Future of Work — 3 credits
- MDST 3430 - Rendering AI: Cinema and Artificial Intelligence — 3 credits
- MDST 3510 - Topics in Media Research — 3 credits
- PHIL 2350 - Minds, Machines, and Persons — 3 credits
- PHIL 4410 - Mathematics, Computability, and Philosophy — 3 credits
- PLAP 3242 - The Politics of Artificial Intelligence — 3 credits
- STAT 4630 - Statistical Machine Learning — 3 credits
Special Topics Courses
The following special topics courses may count toward the AI Concentration Electives category, but will require manual override. Please reach out to the department for more information.
- CS 4501: Law and AI
- CS 4501: Risks and Benefits of Generative AI and LLMs
- CS 4501: AI-Powered Cybersecurity
- CS 4501: LLMs and Software Engineering