What is Biomedical Data Science?
Biomedical Data Science is the interdisciplinary field that focuses on the effective uses of biomedical data for scientific inquiry, problem-solving, and decision-making, driven by efforts to understand biology and improve human health. Biomedical Data Science involves developing and applying methods for inference, modeling, simulation, experimentation, and translation across the biomedical spectrum from molecules to individuals to populations.
Graduate Programs in Biomedical Data Science
The current explosion of biomedical data presents exciting opportunities to develop and apply computatonal and statistical approaches to advance our understanding of fundamental biological processes and the mechanisms of disease. Our programs in biomedical data science provide students with a deep understanding of computational and statistical methods and their applications in a broad range of problems in biology, medicine, and public health. Students learn how to develop and deploy tools that can make sense of large-scale biomedical data sets, work in a collaborative, interdisciplinary environment and be leaders in the team science efforts that invariably accompany such data.
The Department of Biostatistics and Medical Informatics and the University of Wisconsin provide an ideal environment for studying biomedical data science, offering a broad range of relevant classes, collaborations with world class researchers in basic science and medicine, and a plethora of opportunities to contribute to leading edge studies in fields such as bioinformatics, biomedical image analysis, clinical biostatistics, clinical informatics, image analysis, machine learning, population health biostatistics, and statistical genomics.
The department features a collegial and collaborative environment. The University of Wisconsin is a prolific, world-class research institution situated on the shore of Lake Mendota. The city of Madison, which is consistently rated as one of the best places to live, offers a wealth of cultural, culinary, sporting, and outdoor activities.
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Deadline for PhD: December 1
Deadline for MS: January 12
*GRE scores not required for 2020 or 2021 applications (this is contrary to requirements listed on guide.wisc.edu)
Criteria for evaluation include:
- Academic record
- Three letters of reference
- Personal statement
- CV/Resume
- For international students who are not native English speakers, TOEFL score of 92 or above are required (unless exempt from requirement)
- PhD applicants should have at least two semesters of college calculus (similar to Math 221–222), a linear algebra course (similar to Math 340), a course in programming and data structures (similar to CS 200 and CS 300). MS applicants should have a similar background.
Applications will be accepted through the Graduate School and are subject to the minimum requirements of the Graduate School.
Current UW graduate students: Apply here
GRE scores not required for 2020 or 2021 applications
*Please see TOEFL exemption guidelines
Application fee $75
The Graduate School offers a limited number of application fee grants to make sure that the application fee is not a barrier for students from our key recruiting initiatives. If you do not qualify for a fee grant, and are unable to pay the application fee, please contact us to request a waiver.