Program Description
Biomedical data science and informatics is an interdisciplinary field that combines ideas from computer science and quantitative disciplines-statistics, data science, 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 to produce the next generation of data scientists, prepared to manage and analyze big data sources in order to improve health in the state and the nation. 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 expertise in data science focused in biomedical research who can leverage big data to improve health in the state and the nation. Graduates possess marketable skills for informatics careers in biology, medicine, or public health focused on the development of prescriptive analytics from large data sources and are prepared to lead research programs in academic, healthcare, public health, and industry. These specially trained scientists are critical to on-going efforts to improve health outcomes in South Carolina and the nation. Specialized tracks include precision medicine, population health, and clinical and translational informatics.
Students have a designated “home institution” at which they are typically physically located. However, all students in this program 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, North Charleston).
For more information, please visit https://www.cs.clemson.edu/bdsi/
Admission
The annual deadline for applications is January 15. Individuals are encouraged to complete their application several weeks prior to deadline. A joint admissions committee reviews all applications and makes recommendations to the deans of the Clemson Graduate School and MUSC College of graduate Studies. The deans make final admissions decisions. Students typically begin their study in the fall semester.
Applicants identify a preference for a home institution when applying for admission to this joint program. The faculty joint selection committee considers the applicant’s preference and other considerations (e.g. number of openings, alignment of student’s research interests, funding) and makes the final home institution decisions.
This interdisciplinary program is designed for full-time students with undergraduate or graduate backgrounds in computer science, math, engineering, or biomedical sciences who wish to make a contribution to biomedical sciences or individual and public health. Recent graduates with advanced degrees (i.e., either masters or professional) or individuals with a bachelors and work experience are ideal candidates.
Admission Requirements
- Bachelor’s degree in biomedical/health sciences, computing, mathematics, statistics, engineering, or related discipline
- Submission of scores from the general GRE (may be waived for those who hold a US graduate or professional degree in a related area from an accredited program)
- One year of calculus; one year of college biology
- Computer programming coursework (e.g. at least one advanced programming course) or substantial experience in industry
Recommended Compentencies and Coursework
- Competency in a second related area of the above list (biomedical/health sciences, computing, mathematics, statistics, engineering or related discipline), as demonstrated by completion of a major, minor or certificate
- Relevant research or work experience
- Coursework in multivariate calculus, linear algebra, probability and statistics, and biostatistics
- One year of computer science coursework that focuses on the fundamentals of computer science and software engineering principles, including abstraction, modularity, and object-oriented programming
Program Requirements
A PhD in Biomedical Data Science and Informatics requires 65-68 hours of coursework. Each student works with the graduate coordinator, academic advisor, and dissertation committee to construct a program of study that conforms to the requirements outlined below and takes into account both the student’s prior preparation and intended research area. In cases where a student enters the program with prior coursework in a required area, the graduate coordinator may approve a substitution. In cases where a student lacks prerequisites for a required course, the student will be asked to complete both the prerequisite coursework and the required course. Because the curriculum is tailored to each student, the time needed to complete the degree varies, but in general, it is expected that students can complete the degree in five years or less.
Research
This doctoral program is a research degree. Students pursue one of three track specialty areas, which include precision medicine, population health, and clinical and translational informatics. All students have the opportunity to work directly with one or more program faculty member on research related to data science and informatics. Doctoral students are immersed in the research environment and actively engage in authoring research proposals, conducting research, writing abstracts and manuscripts, and presenting research findings.
