Whether you plan to pursue research or teaching in an academic, government or industry setting, the College of Engineering and Mathematical Sciences (CEMS) offers solid academic programs and interdisciplinary choices.
- Civil & Environmental Engineering: MS and PhD
- Electrical Engineering: MS and PhD
- Mechanical Engineering: MS and PhD
- Department of Computer Science
- Department of Mathematics & Statistics
- Interdisciplinary Programs
Engineering at UVM offers a wide variety of outstanding undergraduate and graduate degree programs with an emphasis on interdisciplinary, fundamental education and research, and a deep appreciation for the societal impact of engineering. Accelerated MS Programs are offered in most of our programs. For more info contact Samantha Williams, Graduate Programs Coordinator at Samantha.D.Williams@uvm.edu
Civil & Environmental Engineering:
Program coordinator: Dr. George Pinder email@example.com
The M.S. Program 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. Learn More
The Ph.D. Program 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. Learn More
Program coordinator: Paul Hines firstname.lastname@example.org
The Master of Science in Electrical Engineering 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 MS option is also available. Learn More
The Doctor of Philosophy degree in Electrical Engineering prepares students for a career in research. Areas of research expertise for our electrical engineering program include digital signal processing, control systems, electromagnetics & optics, electric energy & power systems, solid-state physical electronics, semiconductor materials and devices, wireless communications, VLSI design & testing, and biomedical engineering. Learn More
Program coordinator: Dr. Frederic Sansoz email@example.com
The M.S. program in mechanical engineering offers both a research thesis option and a coursework option for the degree, both requiring 30 credit hours of courses and/or research credits. The mechanical engineering graduate faculty is actively engaged in applied and fundamental research to address timely mechanical engineering topics in Biomechanics, Control Theory and Design of Mechanical Systems, Materials Engineering and Solid Mechanics, Thermodynamics, Fluids and Energy, and Computational Mechanics.Learn More
The Ph.D. degree provides intensive education for students wishing to learn to be professional researchers, e.g., in industry or national laboratories, or academics. Particular areas of research expertise by the Mechanical Engineering Graduate Faculty include Smart Structures, Aerospace Engineering, Turbulence, Thermodynamics, Fluids, Energy, Multiscale Mechanics, Micro and Nano Engineering, Nanomaterials, Biomaterials, Biomechanics, and Simulation using High-performance Computing. Learn More
The Department of Computer Science offers three graduate programs through the Graduate College: a Master's Program, an Accelerated Master's Program (AMP), and an interdisciplinary PhD program.
Program Coordinator: Dr. Maggie Eppstein Maggie.Eppstein@uvm.edu
The Master's Program (MS) offers thesis, project, and coursework-only options. The Guide to the Master of Science Program 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. Learn More
The interdisciplinary PhD program in Computer Science offers study in both traditional and cross-disciplinary areas such as bioinformatics and ecological modeling, and includes graduate assistantships specifically designated for students involved in interdisciplinary areas. The Guide to the Doctor of Philosophy Program 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. Learn More
Greetings from the University of Vermont Graduate Program in Mathematics and Statistics. Ours is a vibrant community, valuing high-quality interactions between individuals while embracing the best uses of technology to encourage the development of well-prepared, well-rounded mathematicians and statisticians who will make important contributions to society as individuals and as team members.
Hallmarks of our program include flexibility, the integration of theory, application and computation, opportunities for collaborative and independent work, easy access to powerful computing resources, and small classes, personal attention, and friendly, supportive relationships among faculty, students and staff.
We feature working groups in discrete mathematics, analysis, applied mathematics, algebra/number theory, and applied statistics and biostatistics with active schedules of seminars, problem-sessions, discussions, and conference attendance and organization. Students are invited to share the benefits of joining in these activities. PhD. candidates (and typically M.S. candidates as well) gain significant teaching experience by serving as Graduate Teaching Fellows for one or more semesters. This includes full responsibility for preparing lessons, and instructing and grading a small class with the support of a faculty course-coordinator.
Program Coordinator: Dr. Christopher Danforth Chris.firstname.lastname@example.org
Students in the M.S. 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 (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. Learn More
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. Learn More
There is a Masters of Science in Teaching offered by the department. Students in the MS 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. Learn More
Program Coordinator: Jeff Buzas email@example.com
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. Learn More
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 College of Medicine or other departments of 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. Learn More
Program Coordinator: Jason Bates firstname.lastname@example.org
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. Learn More
Program Coordinator: Peter Dodds email@example.com
We provide students with a broad training in computational and theoretical techniques for (1) describing and understanding complex natural and sociotechnical systems, enabling them to then, as possible, (2) predict, control, manage, and create such systems.
Students will be trained in:
- Industry standard methods of data acquisition, storage, manipulation, and curation;
- Visualization techniques, with a focus on building high quality web-based applications;
- Finding complex patterns and correlations through, for example, machine learning and data mining;
- Powerful ways of hypothesizing, searching for, and extracting explanatory, mechanistic stories underlying complex systems—not just how to use black box techniques;
- Combining the formulation of mechanistic models (e.g., toy physics models) with genetic programming.
Last modified November 17 2017 02:55 PM