Program Directors
Prof. Yan Lindsay Sun
Certificate Program Co-Coordinator
CYPHER Center Co-Director and Chief AI Officer (CAIO)
yansun@cypher-uri.ai
Asst. Teaching Prof. Mehmet Seckin
Certificate Program Co-Coordinator
mseckin@uri.edu
The Undergraduate Certificate in AI and Machine Learning for Engineering Applications equips students in engineering and related disciplines with both the foundational knowledge and practical skills needed to apply artificial intelligence, machine learning, and data-driven methods to complex problems.
The program emphasizes the integration of AI/ML into real-world engineering systems and applications, preparing students to tackle emerging challenges across science, technology, and industry. In addition to technical expertise, students will engage with ethical, societal, and safety considerations to promote the responsible and effective use of AI in engineering practice.
Who does this serve?
- Current URI engineering students – Integrate AI/ML into your degree through early planning and thoughtful course selection.
- Recent URI engineering graduates – Building on your URI College of Engineering education, you may be only two courses away from earning this certificate.
- Workforce learners and employers – Upskill efficiently through targeted AI/ML courses designed for immediate application.
- Prospective students and families – URI College of Engineering offers strong engineering preparation combined with practical AI literacy and applied machine learning skills.
Curriculum
| Courses | Option 1 (Capstone without an AI/ML component) | Option 2 (Capstone with a significant AI/ML component) |
| EGR 241 – Python for Engineering Applications (spring) or an approved Python course (e.g., CSC 200) | 4 | 4 |
| EGR 441 – Intro AI/ML for Engineering Applications (spring) | 4 | 4 |
| Ethics Course (select one course, 1-4 credits) Options include ELE 400, CVE 400, EGR/PHL 316G, OCE 416, PHL 212, CSC 320 | 1 | 1 |
| Capstone Design | 0 | 3 |
| Elective Courses EGR 444 – Advanced AI/ML for Engineering Applications(4 credits) EGR 404 – Building Tools with Generative AI (3 credits) CSC 461 – Machine Learning (4 credits) ELE 492 – Special Topics (4 credits) | Select at least one elective course | |
| Total Credits | 12-13 | 12 |
ELE
Students in the Electrical Engineering (ELE) program can pursue the Undergraduate Certificate in Artificial Intelligence and Machine Learning in Engineering Applications by following a curriculum developed by the department. The curriculum integrates AI and machine learning courses into the existing program as required courses or technical electives.
CPE
Students in the Computer Engineering (CPE) program can complete the Undergraduate Certificate in Artificial Intelligence and Machine Learning in Engineering Applications through a department-defined curriculum. The required courses are incorporated into the degree plan, and some courses may be taken as technical electives.
BME
Students in the Biomedical Engineering (BME) program currently developing a curriculum for the Undergraduate Certificate in Artificial Intelligence and Machine Learning in Engineering Applications. Please check back for updates.
MCISE
The Mechanical and Industrial Systems Engineering (MISE) department is currently developing a curriculum for the Undergraduate Certificate in Artificial Intelligence and Machine Learning in Engineering Applications. Please check back for updates.
Other EGR Majors
The Undergraduate Certificate in Artificial Intelligence and Machine Learning in Engineering Applications is currently under development for other departments. Please check back for updates.
AI/ML Coursework Verification Letter Application
Please complete this form to request a departmental letter verifying your coursework in Artificial Intelligence and Machine Learning (AI/ML). This letter request is available only for students graduating in Spring 2026 and Summer 2026.
If you are graduating Fall 2026 or later, the certificate will be formally available and will be issued automatically through the program.