As a graduate student, you bring a distinct perspective and set of knowledge to the College of Engineering and Mathematical Science. Our job as a research and world problem-solving institution is to expand the boundaries of your experience, providing a personalized education rooted in collaboration and cross-pollination with supporting disciplines both within and outside the college.
OUR GOAL IS TO INSPIRE YOU TO BE AMONG THE GAME-CHANGERS IN THIS WORLD, HELPING BUILD THE SOLUTIONS THAT WILL LEAD TO HEALTHY, SUSTAINABLE SOCIETIES. ARE YOU READY?
View this brief webinar about graduate programs in the University of Vermont' College of Engineering and Mathematical Sciences.
The drive to advance technology and solve world challenges calls for a strong research program fueled by the dedication of faculty and graduate students alike. There are tremendous opportunities to be part of important work and gain careerbuilding experience.
We are a school that deeply values and facilitates the kind of learning and enrichment that springs from collaborating across disciplines. For graduate students, these kinds of connections can deepen interests or offer new paths that might not otherwise have been imagined.
Classroom learning is only one part of the experience. Our faculty and staff are invested in students' futures, helping guide them and provide resources that support professional life after degree completion.
CEMS graduate students have access to world-class research facilities in major multidisciplinary learning centers including those in the Vermont Advance Computing Center, the Microscopy Imaging Center, the Instrumentation and Model Facility, and the CEMS Rapid Prototyping Center.
Program Coordinator: Eric Hernandez - Eric.Hernandez@uvm.edu
The Master of Science in Civil and Environmental Engineering degree provides advanced professional courses in water resources, structures, geotechniques, transportation, and environmental engineering. Thesis (30 credit hours) and coursework (36 credit hours) degree options are available. An accelerated MS option is also available.
The Doctor of Philosophy in Civil and Environmental Engineering degree provides an intensive, focused education in civil and environmental research. Areas of expertise include environmental engineering, computational modeling, structural and geotechnical engineering, and information technology applications in civil engineering.
Program Coordinator: Dr. Josh Bongard - Josh.Bongard@uvm.edu
The Master of Science in Computer Science is a traditional two-year degree program that offers both a thesis and a non-thesis option. The handbook to the Master of Science in Computer Science describes most features about the master’s degree program: admission requirements, when and how to apply, requirements for the MS degree, and teaching and research fellowships. An Accelerated Master's Program (AMP) is also available.
The Doctor of Philosophy in Computer Science offers study in both traditional and interdisciplinary areas such as bioinformatics and ecological modeling, and includes graduate assistantships specifically designated for students involved in interdisciplinary areas. The handbook to the Doctor of Philosophy in Computer Science describes most features about the PhD program: admission requirements, when and how to apply, requirements for the PhD degree, and teaching and research fellowships.
Program Coordinator: Dr. Mads Almassalkhi malmassa@uvm.edu
The Master of Science in Electrical Engineering degree provides more advanced knowledge of electrical engineering and related subjects for students wishing to work in industry or the national laboratories. The degree requires 30 credit hours of course work, including completion of an electrical engineering core. Students have the choice between a thesis option, a project option, or a coursework option. An Accelerated Master's Program (AMP) is also available.
The Doctor of Philosophy degree in Electrical Engineering degree prepares students for a career in research. Areas of research expertise for our electrical engineering program include digital signal processing, control systems, electromagnetics and optics, electric energy and power systems, solid-state physical electronics, semiconductor materials and devices, wireless communications, VLSI design and testing, and biomedical engineering.
Program Coordinator: Dr. Puck Rombach - Puck.Rombach@uvm.edu
Students in the Master of Science program can choose a major subject from among analysis, algebra, discrete mathematics and applied mathematics. Also, students can pursue research with faculty specializing in classical analysis, harmonic analysis, Fourier analysis, algebra, number theory, graph theory, combinatorics, complex systems, fluid mechanics, biomathematics, differential equations, numerical analysis, and modeling.
The department offers an Accelerated Master's Program in Mathematics (AMP) leading to a B.S. and M.S. degree in five years. Interested students should contact the department by the end of their sophomore year.
Students in the Master of Science in Teaching program can pursue research with faculty specializing in classical analysis, harmonic analysis, Fourier analysis, algebra, number theory, graph theory, combinatorics, complex systems, fluid mechanics, biomathematics, differential equations, numerical analysis, and modeling.
There is a Doctor of Philosophy offered in the Department. Students in the PhD program can pursue research with faculty specializing in classical analysis, harmonic analysis, Fourier analysis, algebra, number theory, graph theory, combinatorics, complex systems, fluid mechanics, biomathematics, differential equations, numerical analysis, and modeling.
Program Coordinator: Dr. Frederic Sansoz - Frederic.Sansoz@uvm.edu
The Master of Science in Mechanical Engineering provides advanced education intended to help students excel in industry or advance to further education in research. The program offers both a thesis option and a coursework option for the degree, both requiring 30 credit hours of courses and research credits. An Accelerated Master's Program (AMP) is also available.
The Doctor of Philosophy in Mechanical Engineering provides intensive education for students wishing to learn to be professional researchers, e.g., in industry or national laboratories, or academics. Particular areas of focus in our Mechanical Engineering program include Smart Structures, Aerospace Engineering, Turbulence, Complex Fluids, Multiscale Mechanics, Micro and Nano Engineering, Nanomaterials, Energy Harvesting, System Diagnostics, Biomechanics, Biomaterials, and Simulation using High-performance Computing.
Program Coordinator: Jeff Buzas - Jeff.Buzas@uvm.edu
The degree programs are designed primarily for students who plan careers in business, actuarial science, industry, and government or advanced training in disciplines that make extensive use of statistical principles and methods. The Program faculty is deeply involved in consulting and collaborative research in a wide variety of fields, including industry, agriculture and in the basic and clinical medical sciences.
An Accelerated Master's Program in Statistics (AMP) leading to a B.S. and M.S. degree in five years. Interested students should contact the department by the end of their sophomore year.
The curriculum takes full advantage of courses taught in the Statistics Program and includes potential experience in a variety of health, biomedical, natural resource and other research projects in the Larner College of Medicine or other departments at UVM. This experience is designed to provide candidates with opportunities to use their academic training and work experience in defining research problems, formulating rational methods of inquiry, and gathering, analyzing, and interpreting data.
The Department of Physics at UVM offers a master of science degree in physics. In addition, the department participates in the Materials Science Program in which students can get either an M.S. or a Ph.D.
Program Coordinator: Jason Bates - jason.h.bates@med.uvm.edu
The graduate programs in Biomedical Engineering are interdisciplinary programs that bridge faculty from the College of Engineering and Mathematical Sciences (CEMS) and the Larner College of Medicine (LCOM).
Students enrolled in the MS in BME program will have the opportunity to pursue a research-oriented, thesis-based, project-based or coursework-based program. Students who want to participate in research may consider some of our interdisciplinary labs to pursue their research interests. In the M-Sense Lab, the team is focused on developing methods for characterizing human biomechanics and physiology that employ cutting-edge technologies such as wearable and mobile devices.
The goal of this program is the development and implementation of computational and experimental engineering approaches for describing, analyzing, and predicting the behavior of complex biological systems at multiple scales. We consider scales ranging from the molecular level to the cell, tissue, organ, organism, and population levels. Emphasis is placed on understanding how biochemical, biomechanical and/or other biophysical processes interact and influence emergent properties at these different levels.
Program Coordinator: Laurent Hébert-Dufresne - Laurent.Hebert-Dufresne@uvm.edu.
The graduate programs in Complex Systems and Data Science are interdisciplinary programs involving faculty from Computer Science, Mathematics and Statistics, and the various engineering departments within CEMS, as well as other faculty from across the University.
The Certificate of Graduate Study in Complex Systems and Data Science can be earned by students as a compliment for their graduate degrees across the University of Vermont, or as a stand-alone post-baccalaureate Graduate Certificate.
The Master of Science in Complex Systems and Data Science trains emerging data scientists to find, model, understand, and tell the stories of the patterns they uncover. The master’s may be earned as a two-year stand-alone degree or in one year as part of an Accelerated Master's Program in CS (AMP) for UVM undergraduate students.
This pan-disciplinary program provides strong computational and theoretical training, but varying with each student’s chosen area of focus. Students will work within research groups across campus. With core courses such as data science, principles of complex systems, and modeling complex systems; and electives such as machine learning, complex networks, evolutionary computation, human computer interaction, and data mining, students will receive core training in empirical, computational and theoretical methods for describing and understanding complex systems and predicting, controlling, managing and creating such systems.
