Biomedical Informatics - Master of Science

The Master of Science (MS) degree is intended for students whose interests in Biomedical Informatics (BMI) are academically oriented rather than directed toward professional practice. It 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 ordinarily requires the preparation of a thesis, though it is available under a non-thesis option at the discretion of the division of specialization. The College of Public Health partners with the College of Medicine's Department of Biomedical Informatics to offer the MS.


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.

Available dates

Feb. 9, 2 p.m. EST
Apr. 5, 2 p.m. EST



Program of Study

The MS-Biomedical Informatics curriculum consists of a minimum of 48 credits organized into three curricular domains:

  1. Courses required for a specialization in Biomedical Informatics (30 hours)
  2. Elective courses approved for the specialization (12 credits)
  3. Thesis (6 credits)

View sample curriculum

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

Students intending to pursue the Biomedical Informatics track in the MS degree program may enter via two academic pathways corresponding to preparatory work in either the computational/information or life sciences. Students with a strong background in the life sciences will choose electives focusing on computer science, project management, and data analysis principles; those students with strong backgrounds in the computational and information sciences will choose electives to help acculturate them to healthcare and biomedicine.

Typically, successful applicants should demonstrate a record of academic quality, achieving greater than or equal to a 3.0 GPA on a 4.0 scale. Excellent recommendations and a strong personal statement are also very important for admittance into the programs.

For information regarding application materials, test scores and codes, and decision timelines see our frequently asked questions page.