Biostatistics is one of the primary fields in the science and practice of public health, relating statistical information to concrete health issues as they affect human populations.
Biostatisticians often collaborate with public health and clinical professionals to research and analyze problems in a wide range of health sciences, providing the evidence needed to make critical clinical and policy decisions.
The Master of Science (MS) degree is a natural entry point for students who are interested in pursuing a PhD degree or a career in research. Because of this orientation, the emphasis in the MS degree program is on building a strong foundation in a particular specialty field, along with the research methods important in that field.
To reflect this research and academic orientation, the MS degree requires the preparation of a thesis on Biostatistical methods/applications.
Students admitted to the MS degree program are assigned a faculty advisor who will provide guidance throughout the program.
Learn more about the Master of Science in Public Health
Upcoming information sessions are available to get your questions answered about the MS in Public Health. Save your spot and learn how you can become a Public Health Buckeye.
Program of Study
The MS-Biostatistics curriculum consists of a minimum of 45 credits organized into four curricular domains:
- Public Health Foundation requirements (9 credits)
- Biostatistics specialization courses (17 credits)
- Electives (13 credits)
- Thesis (6 credits)
For detailed additional information about specific requirements, students are directed to the College of Public Health (CPH) Graduate Student Handbook and to The Ohio State University Graduate School Handbook.
Recommended Preparation
The most important background for biostatistics is good preparation in mathematics. A first course in probability and statistics is desirable, and any applied statistics courses are also helpful. Familiarity with a statistical package (SAS, R, STATA, SPSS, etc.) is also desirable, though not required. Close attention will be paid to grades in quantitative courses of any kind.
For information regarding application materials, test scores and codes, and decision timelines see our frequently asked questions page.
