MS & PhD in
Biomedical Data Science and Informatics
The BDSI PhD program, in partnership with South Carolina State University, has just received a new training grant funded by the National Institutes of Health. The name of the grant is SC BIDS4HEALTH. Building on the curricular ecosystem of the joint MUSC-Clemson Biomedical Data Science and Informatics PhD program and in cooperation with South Carolina State, this program will support a cohort of graduate students interested in the application of Data Science techniques to address health inequities. For additional detail and to express interest in participating, please Click here.
Biomedical data science and informatics is an interdisciplinary field that applies concepts and methods from computer science and other quantitative disciplines together with principles of information science to solve challenging problems in biology, medicine and public health.
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. Specialized tracks will initially include precision medicine, population health, and clinical and translational informatics.
Programs of
STUDY
Click and expand the menus for more information on each program
DOCTOR OF PHILOSOPHY
A joint PhD degree program offered by Clemson University and the Medical University of South Carolina
The program is a unique collaboration that brings together Clemson’s strengths in computing, engineering, and public health and MUSC’s expertise in biomedical sciences to produce the next generation of data scientists, prepared to manage and analyze big data sources from mobile sensors to genomic and imaging technologies. Graduates will possess the necessary skills for informatics careers in biology, medicine or public health focused on the development of prescriptive analytics from large data sources. This interdisciplinary program is designed for full-time students with undergraduate or graduate computer science, math, engineering, or biomedical sciences backgrounds who wish to make a contribution to biomedical sciences or individual and societal health. [APPLY]
Program info
Each student will work 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 the student comes to the program with prior coursework in a required area, the graduate coordinator may approve a substitution. In cases where a student lacks pre-requisites for a required course, the student will be asked to complete both the pre-requisite coursework and the required course. Because the curriculum will be tailored to each student, the time needed to complete the degree will vary, but in general, it is expected that students can complete the degree in five years or less.
Coursework (65-68 total hours):
- Area I – Biomedical Informatics Foundations and Applications (15-16 hours)
- Area II – Computing/Math/Stats/Engineering (18 hours)
- Area III – Population Health, Health Systems, and Policy (5-6 hours)
- Area IV –Domain Biology/Medicine (3-4 hours)
- Area V - Lab rotations, seminars, doctoral research (24 hours)
Required:
- Bachelor’s degree in biomedical/health sciences, computing, mathematics, statistics, engineering, or related discipline
- 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
- 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
- 41-44 hours of coursework
- 24 hours of lab rotations, seminars, and doctoral research
- a qualifying exam
- a dissertation proposal and defense
- a written dissertation
Click here for a full list of required application materials. We also require official TOEFL, IELTS or Duolingo scores for international applicants without a US degree.
The PhD program only admits to the Fall semester. The priority deadline for complete applications is December 1st, with a final deadline of January 15th. Individuals are encouraged to complete their application several weeks prior to the priority deadline to ensure optimal advantage. A joint admissions committee will review all applications and make recommendations to the Deans of the Clemson Graduate School and MUSC College of graduate Studies; the Deans will make final admissions decisions. Students will typically begin their study in the fall semester. Applicants will identify a preference for a "home institution" when applying for admission to this joint program. The faculty joint selection committee will consider the applicant’s preference and other considerations (e.g. number of openings, alignment of student’s research interests, funding) and will make the final "home institution" decisions.
Clemson: Brian Dean, bcdean@clemson.edu
Clemson: Adam Rollins, rollin7@clemson.edu
MUSC: Caitlin Allen, allencat@musc.edu
MUSC: Taneisha Simpson, simpst@musc.edu
MASTER OF SCIENCE
This interdisciplinary program leverages the broad strength at Clemson spanning computing, engineering, mathematics, biology, public health, and other areas to produce the next generation of data scientists, prepared to manage and analyze big data sources from mobile sensors to genomic and imaging technologies. Graduates will possess the necessary skills for informatics careers in biology, medicine or public health focused on the development of prescriptive analytics from large data sources. The program is designed for students with undergraduate computer science, math, engineering, or biomedical sciences backgrounds who wish to make a contribution to biomedical sciences or individual and societal health. [APPLY]
Program info
Each student will work with the graduate coordinator to construct a program of study that conforms to the requirements outlined below and takes into account both the student’s prior preparation. In cases where the student comes to the program with prior coursework in a required area, the graduate coordinator may approve a substitution. In cases where a student lacks pre-requisites for a required course, the student will be asked to complete both the pre-requisite coursework and the required course. Because the curriculum will be tailored to each student, the time needed to complete the degree will vary, but in general, it is expected that students can complete the degree in two years.
Coursework (32-34 hours):
- Area I – Biomedical Informatics Foundations and Applications (12 hours)
- Area II – Computing/Math/Stats/Engineering (12 hours)
- Area III – Health Systems, Quality, and Safety (5-6 hours)
- Area IV – Domain Biology/Medicine (3-4 hours)
Required:
- Bachelor’s degree in biomedical/health sciences, computing, mathematics, statistics, engineering, or related discipline
- 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
- 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
Click here for a full list of required application materials. We also require official TOEFL, IELTS or Duolingo scores for international applicants without a US degree.
The BDSI Master of Science offers a combined BS/MS-BDSI with BS Biology, Health Science, Mathematics, Bioengineering, Computer Engineering, Computer Science and Genetics and Biochemistry degrees. The BS/MS program allows Clemson undergraduates to apply up to twelve hours of graduate coursework towards both their BS and MS degrees. Students participating in this program must have at least 90 semester hours and a minimum GPA of 3.4. For questions about the BS-MS course plan, please contact Adam Rollins at rollin7@clemson.edu.
The MS program only admits to the Fall semester. The annual deadline for complete applications is April 15th.
For applicants interested in an online program, MUSC's online MS in Health Informatics has been touted as the "Best Research-Focused Program" by Intelligent, and is designed primarily for working health care professionals who wish to specialize in health informatics with a focus on data analytics. Graduates are prepared to manage, use, and evaluate health care information systems such as electronic health records (EHRs), data management, and analytic systems. They also gain firsthand experience in working with leading experts in telehealth through MUSC's Center of Telehealth, one of only two Health Resources & Services Administration (HRSA)-designated Centers of Excellence for Telehealth in the nation. Accredited by CAHIIM, the MSHI program focuses on data analytics, using hands on learning methods such as simulation and case study. For more information, see https://chp.musc.edu/academics/health-informatics.
Brian Dean, bcdean@clemson.edu
Adam Rollins, rollin7@clemson.edu
Meet
OUR TEAM
Meet our faculty members at both Clemson University and the Medical University of South Carolina
Alexander Alekseyenko
MUSC
Public Health Sciences
Caitlin Allen
MUSC
Public Health Sciences
Luigi Boccuto
Greenwood Genetic Center
Research Scientist
Jackie Cha
Clemson University
Industrial Engineering
Brian Dean
Clemson University
School of Computing
Zhana Duren
Clemson University
Genetics & Biochemistry
Stephen Ethier
MUSC
College of Medicine
Alex Feltus
Clemson University
Genetics & Biochemistry
Hermes Florez
MUSC
Public Health Sciences
Ron Gimbel
Clemson University
Public Health Sciences
Jillian Harvey
MUSC
College of Health Professions
Paul Heider
MUSC
Public Health Sciences
Nina Hubig
Clemson University
School of Computing
Federico Iuricich
Clemson University
School of Computing
Xia Jing
Clemson University
Public Health Sciences
Abby Swanson Kazley
MUSC
College of Health Professions
Arman Kilic
MUSC
College of Medicine
Miriam Konkel
Clemson University
Genetics & Biochemistry
Eileen Kramer
Clemson University
School of Computing
Leslie Lenert
MUSC
Medicine
Nianyi Li
Clemson University
School of Computing
Xinyi Li
Clemson University
Mathematical and Statistical Sciences
Kai Liu
Clemson University
School of Computing
Chris McMahan
Clemson University
Mathematical and Statistical Sciences
Fabio Morgante
Clemson University
Genetics & Biochemistry
Paul J. Nietert
MUSC
Public Health Sciences
Jihad Obied
MUSC
Public Health Sciences
Abolfazl Razi
Clemson University
School of Computing
Vincent Richards
Clemson University
Biological Sciences
Souvik Seal
MUSC
Public Health Sciences
Richard Street
Greenwood Genetic Center
Director of Research
KC Wang
Clemson University
Public Health Sciences
James Wang
Clemson University
School of Computing
Liangjiang Wang
Clemson University
Genetics and Biochemistry
Brandon Welch
MUSC
Public Health Sciences
Beth Wolf
MUSC
Public Health Sciences
Cole Zanetti
MUSC
Public Health Sciences
State-of-the-art
FACILITIES
The joint PhD program with MUSC will give students access to both Clemson University and MUSC facilities.
MCADAMS HALL
MUSC
Palmetto Cluster
MUSC
Greenwood Genetics Center
GHS Patewood
READY TO APPLY?
Refer to the individual program above to find out more about the application process. The application deadline for the MS program is April 15. The priority deadline for the PhD program is December 1.
APPLY TODAY!Student
TESTIMONIALS
See what our students are saying
Benjamin Martin
I have always wanted to work in health care, and I believe that focusing my education in the growing field of biomedical data science and informatics will allow me to make a positive impact on health care delivery and patient care. I love the interdisciplinary nature of this field and our program of study because it creates opportunities to tackle challenges in improving health care in a variety of ways, combining tools and techniques from different disciplines. I look forward to using the skills I develop from this program to further my research in population health and to support health care systems in providing quality, accessible, and cost-efficient care.
Benafsh Husain
My experience working and researching as a data scientist has exposed me to various types of interesting real world problems. With my background as a Biomedical engineer I have always wanted to circle back to biological data. The Clemson-MUSC BDSI program allows me to apply and hone my data science skills while providing challenging problems that require practical solutions. This program offers several inter-disciplinary research opportunities that are interesting to me ranging from public health policy to molecular biology. Being part of the research team focusing on cancer research is definitely a bonus.
Jordon Ritchie
The future of health care is data. Clemson and MUSC have essentially combined their strengths to provide excellent computer science curriculum and resources with impressive medical, statistical, and domain space knowledge. I chose this program because of the outstanding mentoring opportunities available and the climate of innovation that exists in these two institutions. Of all the programs that I researched I felt that this program would best prepare me to be a leader in big data analytics and technology innovation in health care.
MinJae
Woo
With my enthusiasm for patient safety and multidisciplinary background in mathematics, engineering, and econometrics, I was attracted by the joint PhD degree program in Biomedical Data Science and Informatics offered by Clemson University and Medical University of South Carolina. The Clemson-MUSC BDSI program has been a perfect fit for me with its interdisciplinary curriculum and ample research opportunities aligning with my research interest. I envision biomedical informatics a key to various patient safety issues to which I hope to contribute in the near future.