CEMS Interdisciplinary Graduate Programs

As a leading national research institution, our focus is on expanding the boundaries of a graduate student's experience. Our Interdisciplinary Graduate Programs provide a personalized education rooted in collaborative learning and skill-building with exceptional partnerships both within and outside the college.

Biomedical Engineering

A CEMS student works in a biomedical lab

Leveraging strong ties and close proximity between the University of Vermont's College of Engineering and Mathematical Sciences and the Larner College of Medicine, our graduate programs in Biomedical Engineering (BME) prioritize hands-on, interdisciplinary learning to provide our students the opportunity to employ cutting-edge technologies and advanced engineering methods to address real-world problems related to human health.

UVM offers programs of study leading to Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees in BME with areas of research expertise, including digital health, neuroengineering, biomaterials, biomechanics, and computational modeling.

Program Coordinator: Dr. David Jangraw - djangraw@uvm.edu

Biomedical Engineering

Master of Science

College of Engineering and Mathematical Sciences

program formatFormat: On-campus

Credit hours to graduateThe M.S. degree in BME requires, at a minimum, 30 credit hours at the (2xx) 5xxx level or higher and the completion of a comprehensive examination.

Biomedical Engineering

Ph.D.

College of Engineering and Mathematical Sciences
Larner College of Medicine

program formatFormat: On-campus

Credit hours to graduateStudents must take at least 75 credits in courses and dissertation research including 14 credits of Core Courses, at least 16 credits of Technical Electives, and a minimum of 20 credits of dissertation research.

Complex Systems and Data Science

Professors Peter Dodds and Chris Danforth presenting in the Complex Systems Center

Our interdisciplinary graduate programs in Complex Systems and Data Science allow students to engage with faculty from Computer Science, Mathematics & Statistics, and the engineering departments within CEMS, as well as other faculty researchers from across the University. 

Recently, the CEMS Complex Systems Center evolved into a University-wide Vermont Complex Systems Institute to better catalyze computational research, drive collaboration, and extend its impact well beyond campus borders. Pan-Disciplinary research groups within the Institute, such as the Computational Story Lab and the MassMutual Center of Excellence for Complex Systems and Data Science have emerged as national leaders in their respective fields, receiving multimillion-dollar funding from research foundations and industry partners.

CSDS Program Coordinator: Dr. Nick Cheney - ncheney@uvm.edu

Master of Science (MS) in Complex Systems and Data Science

Doctor of Philosophy (PhD) in Complex Systems and Data Science

Certificate of Graduate Study in Complex Systems and Data Science