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School of Computing

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Computing includes the design and development of software and hardware systems and the study of how people and organizations use and benefit from these systems.

Information on admission requirements, financial assistance, and academic policies and procedures as a student in SoC can be found in the Clemson University Catalog and the SoC Graduate Handbook. For the BDSI Ph.D. program, please see the BDSI Ph.D. Graduate Handbook.

Biomedical Data Science and Informatics Ph.D.

Male in lab room operating medical equipment

The Biomedical Data Science and Informatics (BDSI) Ph.D. program is a joint Ph.D. program offered by Clemson University and the Medical University of South Carolina. The program brings together Clemson's strengths in computing, engineering, and public health and MUSC's expertise in biomedical sciences. Graduates will be prepared to manage and analyze large-scale data from a variety of sources, such as electronic health records, biomedical texts, bio-sensor and imaging data, and omics data, and will possess the necessary skills for informatics careers in biology, medicine and public health, and research in prescriptive analytics.

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 and individual and societal health.

Specialized tracks include precision medicine, population health, and clinical and translational informatics. For more details on our M.S. program, please view our M.S. in BDSI.

The BDSI Ph.D. program, in partnership with South Carolina State University, has just received a SC BIDS4HEALTH training grant funded by the National Institutes of Health. Interested candidates, please complete the interest form.

Building on the curricular ecosystem of the joint Ph.D. program, this program will support a cohort of graduate students interested in the application of data science techniques to address health inequities.

  • Degree Requirements

    Requirements

    Each student will work with their graduate coordinator, academic advisor, and dissertation committee to construct a program of study that conforms to the requirements and takes into account prior preparation and intended research area. 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.

    Ph.D. Students with a B.S. or M.S. Degree

    Coursework (41-44 credits)

    • 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)

    Research (26 credits)

    • Area V - Lab rotations, seminars, doctoral research (26 hours)

    67 credits minimum beyond the bachelor

    The BDSI Ph.D. requires 67 graduate credits, minimum. Some of these credits may be transferred in. For additional details, see the BDSI Ph.D. program handbook.

    View a detailed look at our Ph.D curriculum.

  • Qualifying Exam and Dissertation

    Graduating: Examination Requirements

    To earn the Ph.D. degree, a student must take and pass three examinations:

    • The Comprehensive Examination
    • The Dissertation Proposal
    • The Dissertation Defense

    The information below is intended as an overview of each requirement. Current BDSI Ph.D. students approaching these milestones should review the BDSI Ph.D. Program Handbook. This includes expectations regarding proposal formatting, scheduling, and presentation.

    Ph.D. Qualifying Exam

    BDSI Ph.D. students must complete their qualifying exam by the end of their second year. The examination is offered once per year on a determined date and is prepared by the BDSI Student Progress Committee. The examination assesses competency in Areas I-IV as outlined in the BDSI curriculum.

    Dissertation Proposal

    After passing the qualifying exam, students should prepare a dissertation proposal in consultation with their Dissertation Committee. Students are expected to complete their proposal defense within 1 year of passing their qualifying exam.

    Dissertation Defense

    A dissertation based on original investigation is required of all Ph.D. students. The dissertation must give evidence of mature scholarship and critical judgment, demonstrate methodologic rigor indicating knowledge of research methods and techniques, and demonstrate the student's ability to carry out independent investigation.

    Each Ph.D. candidate is required to pass a final oral examination directed primarily to the defense of the dissertation. The defense of the dissertation is a rigorous examination intended to test the student’s knowledge of the research covered in the dissertation, as well as their general knowledge of the related fields of study.

    The dissertation defense begins with a formal 45-50-minute public presentation describing the research methods and results, which is followed by questions from the audience. The candidate's dissertation committee then conducts an oral examination in a closed-door session to test the candidate's understanding of the area of research. Performance on this examination must receive approval of the student's dissertation committee before the student will be recommended to the Ph.D.

  • Applying to the Ph.D. Program

    Application Requirements and Recommendations

    Required for application to the program:

    • Bachelor's degree in biomedical or health sciences, computing, mathematics, statistics, engineering, or related disciplines
    • One year of college calculus
    • One year of college biology
    • Computer programming coursework or substantial experience in industry

    Recommended for application to the program:

    • Competency in more than one area from the following list: biomedical or health sciences, computing, mathematics, statistics, engineering, or related disciplines, 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

    Applicants who are missing prerequisite coursework may still be considered but should use their personal statement to address other ways in which they’ve achieved competency in the missing prerequisite area.

    The Application Process

    The Ph.D. program only admits to the Fall semester. Individuals are encouraged to complete their application several weeks prior to the priority deadline.

    • Priority deadline: December 1st
    • Final deadline: January 15th

    When applying, applicants will identify a preference for either Clemson or MUSC (Charleston) based on the faculty members the applicant would most like to work with. The BDSI Admissions Committee will consider the applicant's preference along with other considerations and will make a final decision regarding the placement of admitted applicants.

    Application fees are not required.

    How to Apply

    Required documents can be found here. Application to the BDSI Ph.D. requires two letters of recommendation. Applicants applying to our MUSC campus in Charleston will need to submit official language scores from either TOEFL or IELTS. For our Clemson campus, unofficial language scores from TOEFL, IELTS, PTE Academic, or Duolingo will suffice. GRE scores are not required for application to the BDSI Ph.D.

    Questions and Application Guidance

    Adam Rollins, Clemson Graduate Services Coordinator
    rollin7@clemson.edu

    Apply | Graduate School
  • Interest Form
  • Team

    Meet our faculty members at both Clemson University and the Medical University of South Carolina

    Alekseyenko profile

    Alexander Alekseyenko

    MUSC
    Public Health Sciences
    alekseye@musc.edu

    Allen profile

    Caitlin Allen

    MUSC
    Public Health Sciences
    allencat@musc.edu

    Boccuto profile

    Luigi Boccuto

    Clemson University
    School of Nursing
    lboccut@clemson.edu

    Brinkley profile

    Julian Brinkley

    Clemson University
    School of Computing
    julianbrinkley@clemson.edu

    Cha profile

    Jackie Cha

    Clemson University
    Industrial Engineering
    jackie@clemson.edu

    Chen profile

    Andrew Chen

    MUSC
    Public Health Sciences
    chenandr@musc.edu

    Dean profile

    Brian Dean

    Clemson University
    School of Computing
    bcdean@clemson.edu

    Duan profile

    Andy Duan

    Clemson University
    School of Computing
    duan@clemson.edu

    Duren profile

    Zhana Duren

    Clemson University
    Genetics & Biochemistry
    zduren@clemson.edu

    Ethier profile

    Stephen Ethier

    MUSC
    College of Medicine
    ethier@musc.edu

    Feltus profile

    Alex Feltus

    Clemson University
    Genetics & Biochemistry
    ffeltus@clemson.edu

    Florez profile

    Hermes Florez

    MUSC
    Public Health Sciences
    florez@musc.edu

    Gimbel profile

    Ron Gimbel

    Clemson University
    Public Health Sciences
    rgimbel@clemson.edu

    Harvey profile

    Jillian Harvey

    MUSC
    College of Health Professions
    harveyji@musc.edu

    Heider profile

    Paul Heider

    MUSC
    Public Health Sciences
    heiderp@musc.edu

    Iuricich profile

    Federico Iuricich

    Clemson University
    School of Computing
    fiurici@clemson.edu

    Jing profile

    Xia Jing

    Clemson University
    Public Health Sciences
    xjing@clemson.edu

    Kazley profile

    Abby Swanson Kazley

    MUSC
    College of Health Professions
    swansoaj@musc.edu

    Kilic profile

    Arman Kilic

    MUSC
    College of Medicine
    kilica@musc.edu

    Konkel profile

    Miriam Konkel

    Clemson University
    Genetics & Biochemistry
    mkonkel@clemson.edu

    Kraemer profile

    Eileen Kraemer

    Clemson University
    School of Computing
    etkraem@clemson.edu

    Li profile

    Nianyi Li

    Clemson University
    School of Computing
    nianyil@clemson.edu

    Li profile

    Xinyi Li

    Clemson University
    Mathematical and Statistical Sciences
    lixinyi@clemson.edu

    Liu profile

    Kai Liu

    Clemson University
    School of Computing
    kail@clemson.edu

    Luo profile

    Feng Luo

    Clemson University
    School of Computing
    luofeng@clemson.edu

    Mackay profile

    Truday Mackay

    Clemson University
    Genetics & Biochemistry
    tmackay@clemson.edu

    Masino profile

    Aaron Masino

    Clemson University
    School of Computing
    amasino@clemson.edu

    McMahan profile

    Chris McMahan

    Clemson University
    Mathematical and Statistical Sciences
    mcmaha2@clemson.edu

    Mollalo profile

    Abolfazl Mollalo

    MUSC
    Public Health Sciences
    mollalo@musc.edu

    Morgante profile

    Fabio Morgante

    Clemson University
    Genetics & Biochemistry
    fabiom@clemson.edu

    Nietert profile

    Paul J. Nietert

    MUSC
    Public Health Sciences
    nieterpj@musc.edu

    Obeid profile

    Jihad Obeid

    MUSC
    Public Health Sciences
    jobeid@musc.edu

    Razi profile

    Abolfazl Razi

    Clemson University
    School of Computing
    arazi@clemson.edu

    Rennert profile

    Lior Rennert

    Clemson University
    Public Health Sciences
    liorr@clemson.edu

    Richards profile

    Vincent Richards

    Clemson University
    Biological Sciences
    vpricha@clemson.edu

    Seal profile

    Souvik Seal

    MUSC
    Public Health Sciences
    sealso@musc.edu

    Steet profile

    Richard Steet

    Greenwood Genetic Center
    Director of Research
    rsteet@ggc.org

    Wang profile

    James Wang

    Clemson University
    School of Computing
    jzwang@clemson.edu

    Wang profile

    KC Wang

    Clemson University
    Public Health Sciences
    kwang@clemson.edu

    Wang profile

    Liangjiang Wang

    Clemson University
    Genetics & Biochemistry
    liangjw@clemson.edu

    Welch profile

    Brandon Welch

    MUSC
    Public Health Sciences
    welchbm@musc.edu

    Wolf profile

    Beth Wolf

    MUSC
    Public Health Sciences
    wolfb@musc.edu

    Zanetti profile

    Cole Zanetti

    MUSC
    Public Health Sciences
    zanettic@musc.edu

Apply Now

Computing includes the design and development of software and hardware systems and the study of how people and organizations use and benefit from these systems.

Information on admission requirements, financial assistance, and academic policies and procedures as a student in SoC can be found in the Clemson University Catalog and the SoC Graduate Handbook. For the BDSI Ph.D. program, please see the BDSI Ph.D. Graduate Handbook.