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Graduate Programs

Modern research is inherently interdisciplinary – an area in which ¶¶Òõ̽̽’s College of Engineering and Mathematical Sciences excels. ¶¶Òõ̽̽ combines the advantages of a major research university with an intimate size that is just right for building interdisciplinary research groups focused on major societal challenges.

A graduate education beyond the limitations of the traditional

CEMS graduate students in the CREATE center

The College of Engineering and Mathematical Sciences has carefully cultivated our graduate programs to be ideally scaled: Large enough to attract world-class faculty who are leading researchers in their fields, yet small enough to provide essential interdisciplinary opportunities in a highly collaborative environment that ensures strong and mutually beneficial connections between our students, faculty, and a rapidly expanding network of on-campus and premier industry partners. We offer highly regarded interdisciplinary graduate degrees, such as our well-known Biomedical Engineering and Complex Systems & Data Science degrees, and we compliment traditional graduate degrees with interdisciplinary Certificates of Graduate Studies. 

CEMS Interdisciplinary Graduate Programs

As a research and world-problem-solving 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 ¶¶Òõ̽̽'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.

¶¶Òõ̽̽ 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

Master of Science (MS) in Biomedical Engineering

Doctor of Philosophy (PhD) in Biomedical Engineering


Complex Systems and Data Science

Professors at a white board teaching complex systems

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 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 and the 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

Enhance Interdisciplinary Learning by Adding a Graduate Certificate

Enhance Interdisciplinary Learning by Adding a Graduate Certificate

Students collaborate in the Device Characterization Lab

Our graduate certificate programs offer a credentialed course of study focused on building the skills and knowledge to thrive in emerging technology industries. These programs are carefully curated to expand and enhance an interdisclipinary approach to developing the next generation of science and engineering leaders.

CEMS Graduate Certificates

Micro-Certificate of Graduate Study in Scientific Computing
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Students working together on a laptop

Given the critical role that scientific computing plays in many fields of science and engineering, this mCGS-SC program will train students on theoretical and practical skills of scientific computing, preparing them for a wide range of job opportunities in the public sector, industry, and academia. Students completing the program are expected to acquire in-depth knowledge of numerical methods for scientific computing, their implementations (including coding), and their applications to real-world problems in science and engineering.

Any current PhD, MS or Accelerated MS student at ¶¶Òõ̽̽ may pursue this program to augment their degree. 

Learn more about the Micro-Certificate of Graduate Study in Scientific Computing

Certificate of Graduate Study in Semiconductor Engineering and Physics
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Image of a semiconductor wafer

The semiconductor field is of immense importance to today’s society and the Nation’s economic well-being and security. In addition, this field has significant and historical relevance to the economy of Vermont and neighboring states. With the recent passage of the CHIPS and Science Act of 2022, career opportunities in this field in the United States are expected to grow.

¶¶Òõ̽̽ offers a graduate certificate program, which provide students a comprehensive, interdisciplinary, and hands-on understanding of this vital technology. ¶¶Òõ̽̽ graduates have gone to work at industry leaders such as , , , and .

Learn more about the Certificate in Semiconductor Engineering and Physics

Graduate Certificate in Complex Systems and Data Science
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A student and professor collaborate in the complex systems center

If you're looking to get your data science M.S. but don't have years to invest in a degree program, this certificate program is for you. We provide students with a broad training in computation and theoretical techniques for describing and understanding complex natural and sociotechnical systems and enabling them to (as possible) predict, control, manage, and create such systems.

You will learn:

  • Data wrangling: Methods of data acquisition, storage, manipulation, and curation
  • Visualization techniques, with a potential for building high quality web-based applications
  • Uncovering complex patterns and correlations in systems through data-fueled machine learning and genetic programming
  • Powerful ways of identifying and extracting explanatory, mechanistic stories underlying complex systems—not just how to use black box techniques

Learn more about the Graduate Certificate in Complex Systems and Data Science