The Biostatistics degree offered by The University of Vermont 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.
Three of our faculty are in the College of Medicine's Department of Medical Biostatistics and Bioinformatics, whose research activities cover the full range of studies that take place within an academic medicine environment. These include population-based health surveys of various types and evaluations of health promotion programs and professional education activities, such as community intervention studies to prevent smoking and to promote breast cancer screening. They also include clinical studies of many different interventions, bioengineering experiment design and measurement studies, statistical genetics, as well as data from other preclinical, clinical, and epidemiological studies. The Statistics Program has established an internship affiliation with the Vermont Department of Health. The internship program provides an excellent opportunity to interact with researchers from various disciplines on a variety projects.
Opportunities are also available for biostatistical research related to problems in agriculture and the life sciences, as well as natural resources and the environment. Opportunities could include multivariate or spatial data analyses for ongoing wildlife and water quality studies for example. All students gain research and consulting experience through our research requirement: a research project (STAT 381) or a thesis (STAT 391). Other opportunities for experience will arise through involvement in our Statistical Consulting Clinic. (STAT 385). (See also Statistics Program and Statistical Consulting Clinic descriptions.)
More informationVisit official programme website
The department offers both a thesis option and a non-thesis option within the MS degree in Biostatistics.
Under both plans, students must have or acquire a knowledge of the material in Biostatistics 211, attend the regular colloquium series and participate in the Statistics Student Association Journal Club as part of their training. The comprehensive examination covers knowledge acquired in the core courses of the program.
- 12 months
Start dates & application deadlines
- Apply before
- Apply before
DisciplinesMathematics Statistics View 290 other Masters in Statistics in United States
- Electronic Application
- Statement of Purpose
- Application Fee of $65.00
- Email addresses for three people who will provide letters of recommendation. This information is submitted within the application and letters are sent from the recommender directly to us through the application portal.
- One transcript from each institution you have attended, including the one you currently attend. Unofficial transcripts uploaded by you are sufficient for the review process for most programs (Public Health applicants, please review your requirements).
- Residential Status Questionnaire (for in-state tuition purposes)
- Test scores for English proficiency for applicants whose native language is not English.
International1720 USD/creditTuition FeeBased on the original amount of 1720 USD per credit and a duration of 12 months.
National1720 USD/creditTuition FeeBased on the original amount of 1720 USD per credit and a duration of 12 months.
In-State683 USD/creditTuition FeeBased on the original amount of 683 USD per credit and a duration of 12 months.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €6000 to cover your tuition fees.