CEMS Graduate Programs
Program Coordinator: Eric Hernandez, Eric.Hernandez@uvm.edu
Master of Science (MS)
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.
Doctor of Philosophy (PhD)
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. Paul Hines - Paul.Hines@uvm.edu
Master of Science (MS)
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 in Electrical and Biomedical Engineering (AMP) option is also available.
Doctor of Philosophy (PhD)
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.
Bioengineering
Master of Science (MS)
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.
Doctor of Philosophy (PhD)
The Doctor of Philosophy in Bioengineering is an interdisciplinary program that bridges faculty from the College of Engineering and Mathematical Sciences (CEMS) and Larner College of Medicine (COM). See “Interdiscipinary” below for more details.
Program Coordinator: Dr. Frederic Sansoz - Frederic.Sansoz@uvm.edu
Master of Science (MS)
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 in Mechanical Engineering (AMP) is also available.
Doctor of Philosophy (PhD)
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: Dr. Josh Bongard- Josh.Bongard@uvm.edu
Computer Science
Master of Science (MS)
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.
Doctor of Philosophy (PhD)
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.
Complex Systems and Data Science
Certificate of Graduate Study
The Certificate of Graduate Study in Complex Systems can be earned by students as a complement for their graduate degrees across the University of Vermont, or as a stand-alone post-baccalaureate Graduate Certificate.
Master of Science (MS CSDS)
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. See “Interdisciplinary” below for more information.
Doctor of Philosophy (PhD CSDS)
The pan-disciplinary PhD in Complex Systems and Data Science will be housed in the College of Engineering and Mathematical Sciences, providing strong computational and theoretical training, but varying with each student's chosen area of focus.
Mathematics
Program Coordinator: Dr. Christopher Danforth - Chris.Danforth@uvm.edu
Master of Science (MS)
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.
Master of Science in Teaching (MST)
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.
Doctor of Philosophy (PhD)
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.
Statistics
Program Coordinator: Jeff Buzas - Jeff.Buzas@uvm.edu
Master of Science in Statistics (MS)
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.
Master of Science in Biostatistics (MS)
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.
Interdisciplinary
Built for aspiring professionals who are eager to enter the management phase of their career, we have created a flexible program that will allow a diverse cohort to be trained in the management of engineering, statistical quality control for manufacturing and product delivery, and engineering management information systems. With core courses such as Engineering Project Management and Fundamentals of Accounting and electives in Management, Entrepreneurship, Supply Chain Management, Statistical Analysis, Integrated Product Development and Deterministic Models Operations Research, graduates of the MS in EMGT program will be able to manage complex projects and problems, assess data to make informed and sound decisions, identify and manage risks, lead multidisciplinary teams and communicate effectively with both internal and external stakeholders.
Program Coordinator: Peter Dodds - Peter.Dodds@uvm.edu
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.
Program Coordinator: Dr. Jason Bates - Jason.Bates@uvm.edu
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.
