Program Description
Biomedical data science and informatics is an interdisciplinary field that combines ideas from computer science and quantitative disciplines-such as statistics, data science, and decision science-to solve challenging problems in biology, medicine and public health.
Clemson University and the Medical University of South Carolina offer a joint PhD degree in Biomedical Data Science and Informatics. This unique collaboration combines Clemson’s strengths in computing, engineering, and public health with MUSC’s expertise in biomedical sciences. The goal of the program is to produce the next generation of data scientists, prepared to manage and analyze big data sources in order to improve public health. This program is unique to South Carolina and very few programs nationally focus on data science applied to the health and biomedical fields.
The nation’s transition to new healthcare delivery models and the exponential growth in biomedical data translate to a need for professionals with both expertise in data science and experience in biomedical research. Graduates possess marketable skills for informatics careers in biology, medicine, and public health, the ability to develop prescriptive analytics from large data sources, and are prepared to lead research programs in the academic and healthcare industry fields. Specialized tracks include precision medicine, population health, and clinical and translational informatics.
Students have a designated “home institution” at which they are physically located, but take graduate classes from both institutions. Students are not required to travel between campuses to take courses, as courses are available to students both on-campus and via synchronous remote connection. Courses are offered on the Clemson main campus, MUSC main campus, the University Center of Greenville, and the Zucker Family Graduate Education Center on CURI campus in North Charleston.
For more information, please visit https://www.cs.clemson.edu/bdsi/.
