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Doctor of Philosophy in Biomedical Data Sciences & Informatics

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Program Overview

The Doctor of Philosophy (Ph.D.) in Biomedical Data Science and Informatics program is a joint program offered by Clemson University and MUSC, bringing together Clemson's strengths in computing, engineering, and public health and MUSC's expertise in biomedical sciences. The program prepares students to analyze large-scale data, such as electronic health records, biomedical texts, bio-sensor and imaging data, and omics data and perform research in prescriptive analytics. This interdisciplinary program is designed for full-time students with undergraduate or graduate biomedical sciences, computer science, engineering, or mathematics backgrounds who wish to make a contribution to the biomedical sciences. 

Application Timeline

Priority Deadline
Dec 1  

Final Deadline
Jan 15

Learning Experience

Students engage in rigorous coursework, hands-on training in machine learning, informatics, genomics, and population health, complemented by experiential research across MUSC and Clemson.

Inside the Program

The Ph.D. in Biomedical Data Science and Informatics is a research degree. Students will have the opportunity to work directly with faculty on research related to data science and informatics, and to actively engage in developing research proposals, conducting research, writing abstracts and manuscripts, and presenting findings.

  • Specialized tracks will initially include precision medicine, population health, and clinical and translational informatics.
  • Precision medicine focuses on disease treatment and prevention and takes into account individual variability in genes, environment and lifestyle.
  • Population health addresses the health outcomes of a group of individuals, including the distribution of such outcomes within the group.
  • Clinical and translational informatics focuses on delivery of healthcare services and the translation of scientific discoveries from the bench to medical care at the bedside.

Additional tracks may be developed to meet emerging research interests and health needs.

Curriculum

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.

Area Description Total Credits
Area I: Biomedical Informatics Foundations & Applications 15-16
Area II: Computing, Mathematics, Statistics, & Engineering 18
Area III: Population Health, Health Systems, & Policy 5-6
Area IV: Domain Biology/Medicine 3-4
Area V: Lab Rotations, Seminars, & Doctoral Research 24

Additional requirements include passing a qualifying exam, a dissertation proposal, and ultimately a dissertation and its defense.

Students will have a designated "home institution" (Clemson or MUSC) at which they will be physically located. However, all students in this program will take graduate classes from both institutions. Students will not be required to travel between campuses as courses will be made available to students both on-campus and via synchronous remote capability. Courses will be offered at the Clemson main campus, MUSC main campus, the University Center at Greenville, and the Zucker Family Graduate Education Center (on CURI campus, North Charleston).

This doctoral program is a research degree. Students will pursue one of three track specialty areas which include precision medicine, population health, and clinical and translational informatics. All students will have the opportunity to work directly with one or more program faculty members on research related to data science and informatics. Doctoral students will be immersed in the research environment and will actively engage in authoring research proposals, conducting research, writing abstracts and manuscripts, and presenting research findings.

Area I: Biomedical Informatics Foundations & Applications

Course ID Course Title Credits
Research Foundations (Choose one)
DHA805 Qualitative Methods 3
HIN708 Applied Statistical & Research Methods 3
HLTH 8210 Health Research 1: Design & Measurement* 3
Biomedical Informatics Foundations
BDSI701 Introduction to Biomedical Informatics 3
BDSI702 Biomedical Data Standards & Terminologies 3
Track Specific (Choose one)
BDSI711 Precision Medicine Informatics 3
BDSI712 Clinical & Translational Informatics 3
HLTH 8900 Population Health Informatics* 3
HLTH 8900 Clinical Decision Support Systems* 3
 Electives (Choose one to two, minimum 3 credits)
BDSI731 Microbiome Informatics 2
BDSI732 Health Enterprise Analytics 2
BDSI775 Systematic & Scoping Reviews 3
BMTRY783 Statistical Methods for Bioinformatics 2
CPSC 8450 Bioinformatics Algorithms* 3
NEW Panomics 3
NEW Consumer & Quantified Self 2
Area Total 15-18

Area II: Computing, Mathematics, Statistics, & Engineering

Course ID Course Title Credits
Systems & Data Management (Choose two)
CPSC 6140 Human & Computer Interaction* 3
CPSC 6550 Computational Science: Methods & Software Systems* 3
CPSC 6620 Database Management System* 3
CPSC 8200 Parallel Architectures* 3
CPSC 8470 Introduction to Information Retrieval* 3
CPSC 8490 Principles of Scientific Computing* 3
CPSC 8620 Database Management System Design* 3
CPSC 8700 Software Design* 3
CPSC 8710 Foundations of Software Engineering* 3
ECE 6730 Introduction to Parallel Systems* 3
ECE 6780 General Purpose Computation on GPUs* 3
ECE 8780 High-Performance Computing with GPUs* 3
HCC 8310 Fundamentals of Human-Centered Computing* 3
HIN700 Database Management 3
IE 6880 Human Factors Engineering* 3
IE 8000 Human Factors Engineering* 3
Math (Choose one)
BMTRY700 Introduction to Clinical Biostatistics 4
MATH 8050 Data Analysis* 3
STAT 8010 Statistical Methods* 3
Machine Learning & Data Science (Choose one)
BDSI721 Applied Machine Learning 3
CPSC 6300 Applied Data Science* 3
CPSC 6420 Artificial Intelligence* 3
CPSC 6430 Machine Learning: Implementation & Evaluation* 3
CPSC 8420 Advanced Machine Learning* 3
Other (Choose two)
BDSI722 Clinical Natural Language Processing 3
BIOE 6310/11 Medical Imaging* 3
BMTRY701 Biostatistical Methods II 4
BMTRY719 Bayesian Biostatistics 3
CPSC 6030 Data Visualization* 3
CPSC 8030 Scientific Visualization* 3
CPSC 8380 Advanced Data Structure* 3
CPSC 8400 Design & Analysis of Algorithms* 3
CPSC 8430 Deep Learning* 3
CPSC 8480 Network Science* 3
CPSC 8650 Data Mining* 3
ECE 6310 Introduction to Computer Vision* 3
ECE 6420 Knowledge Engineering* 3
ECE 6670 Introduction to Digital Signal Processing* 3
ECE 8470 Digital Image Processing* 3
ECE 8560 Pattern Recognition* 3
HLTH 8310 Quantitative Analysis in Health Research I* 3
IE 8030 Engineering Optimization & Applications* 3
MATH 6410 Introduction to Stochastic Methods* 3
MATH 8070 Applied Multivariate Statistical Analysis* 3
NEW GIS & Mapping for Public Health* 3
PADM 8420 GIS for Public Administrators* 3
STAT 6020 Introduction to Statistical Computing* 3
STAT 8190 Biostatistics* 3
Area Total 18-20

Area III: Population Health, Health Systems, & Policy

Course ID Course Title Credits
Choose two (titles must be different)
BMTRY736 Foundations of Epidemiology I 3
BMTRY738 Field Epidemiology I 3
BMTRY747 Foundations of Epidemiology II 3
DHA807 Managing Healthcare Information 3
DHA850 Population Health Management 3
HAP632 Quality Management of Health Services 3
HAP704 Health Policy 3
HAP735 Health Law & Risk Management 3
HIN716 Informatics 3
HLTH 8020 Health Economics* 3
HLTH 8090 Epidemiology* 3
HLTH 8100 Health Policy* 3
HLTH 8110 Health Care Delivery Systems* 3
HLTH 8130 Population Health & Research* 2
HLTH 8140 Health Systems Quality Improvement* 2
HLTH 8900 Clinical Decision Support Systems* 3
Area Total 5-6

Area IV: Domain Biology/Medicine

Course ID Course Title Credits
Choose one
BCHM 6360 Molecular Biology & Genes to Proteins* 3
BCHM 6430 Molecular Basis for Disease* 3
BCHM 8140 Advanced Biochemistry* 3
BIOE 8460 Biomedical Basis for Engineered Replacement* 3
BIOL 6030 Introduction to Applied Genomics* 3
BIOL 8000 Concepts in Evolution, Ecology and Organismal Biology* 3
BIOL 8010 Concepts in Molecular, Cellular and Developmental Biology 3
CGS766 Genes: Inheritance & Expression 4
CGS767 Cells: Organization & Communication 3
CHE 8450 Systems Biology & Pharmacology* 3
GEN 6050 Molecular Genetics of Eukaryotes* 3
GEN 6100 Population & Quantitative Genetics* 3
GEN 6200 Molecular Genetics & Gene Regulation* 3
GEN 6400 Bioinformatics* 3
GEN 6700 Human Genetics* 3
GEN 8060 Molecular Diagnostics & Pathogen Genomics* 3
GEN 8140 Advanced Genetics* 3
GEN 8200 Genomics &  Proteomics* 3
GEN 8450 Advanced Medical Bioinformatics* 3
GEN 8900 Introduction to Quantitative Genetics* 3
GEN 8900 Regulatory Genomics* 3
HCG 9150 Principles of Pharmacogenomics* 3
MATH 9810 Statistical Genetics* 3
MICRO 8130 Practical Bioinformatics for Microbiologists* 3
PHYS 8190 Computational Biophysics* 3
Area Total 3-4

Area V: Lab Rotations, Seminars, & Doctoral Research

Course ID Course Title Credits
Seminars
BDSI700 Seminar 1
BDSI700 Seminar 1
BDSI700 Seminar 1
BDSI700 Seminar 1
 Lab Rotations
BDSI720 Lab Rotation 2
BDSI720 Lab Rotation 2
Research Hours
BDSI970 Dissertation Research 3
BDSI970 Dissertation Research 3
BDSI970 Dissertation Research 3
BDSI970 Dissertation Research 3
BDSI970 Dissertation Research 3
BDSI970 Dissertation Research 3
Area Total 26

* This course is delivered through Clemson University as part of a joint Biomedical Data Science and Informatics program.

Lab Rotations

Laboratory rotations are required for all students and should occur at the student’s home institution. A minimum of 2 rotations with two different laboratories are required unless a request for exemption has been approved by the program coordinator at the student’s home institution. Laboratory rotations are typically completed during the fall, spring, or subsequent summer of the student’s first year. Three rotations with three different labs are encouraged to enrich the student’s research experience and increase exposure to faculty members’ research. Each rotation will typically last one semester.

All students participating in lab rotations during a given semester will be required to attend a preliminary session led by the Program Coordinators. These sessions will typically be scheduled before the semester begins and will outline additional expectations regarding lab rotation objectives and deliverables.

Students entering the program with a Dissertation Advisor already identified may be allowed to fulfill their rotation requirements by rotating with their Dissertation Advisor and a second member of their Dissertation Advisory Committee. Requests of this type should be referred to the program coordinator at the student’s home institution.

Internships

Our program recognizes the value of internships and industry experience. Students who are interested in completing an internship during the program (typically in summer following the first or second year of the program) should consult with their Advisor and the Program Director of their home institution. The internship experience should be related to the student’s dissertation research and have application to the program curriculum. Prior to the internship, the student and advisor must submit a written statement via email to the Program Coordinator explaining how the internship is integral to the program, how it benefits the student’s research, and outlining the learning objectives for the internship. Once approved, the student may apply for the internship experience.

Internships should typically occur during the summer term. In rare circumstances, internships may take place during the fall or spring term. Generally speaking, doctoral students will not enroll full-time while on an internship, and any funding requiring full-time enrollment will be suspended until the student returns to full-time status.

At MUSC, approved, credit-bearing internships may fulfill the coursework requirements for Area V (Lab rotations, seminars, doctoral research, approved internships). At Clemson, doctoral students will not enroll full-time while on an internship and will instead enroll in a zero-credit hour internship course coordinated by the University’s Center for Career and Professional Development.

Doctoral Milestones

Note: The BDSI program imposes no restrictions in terms of the maximum length of time until defense of one's dissertation, but that such restrictions may be imposed by the Clemson Graduate School or the MUSC College of Graduate Studies.
Milestone Date
Selection of dissertation advisor By the end of the student's first year
Selection of dissertation committee By the end of the student's second year and before sitting for the qualifying exam
Filing your plan of study By the end of the student's second year and before sitting for the qualifying exam. For Clemson students, this includes the student filing their GS2.
Completing the qualifying exam By the end of the student's second year, typically during the summer prior to the Fall semester of the student's third year
Defending the dissertation proposal Within one year of passing the qualifying exam
Defending the dissertation At least one year (but often longer) after successfully defending the dissertation proposal

Dissertation Advisory Committee

Students should select a Dissertation Advisor once they have selected an area of research by the end of the student’s first year and prior to taking the advanced qualifying exam. While faculty at the student’s non-home institution can co-chair a student’s Dissertation Advisory Committee, all Dissertation Advisors must have their primary appointment in the student’s home institution, and must be versed in biomedical data science and informatics. Additionally, the Dissertation Advisor must be a full member of either MUSC’s Graduate Faculty of the College of Graduate Studies or Clemson’s Graduate Faculty. Once the Dissertation Advisor is selected, the student should meet with the Advisor as often as needed to discuss course selection and research.

It is the responsibility of the Dissertation Advisor, in consultation with the student, to select a Dissertation Advisory Committee. The Dissertation Advisory Committee will guide the student’s research and assume responsibility for the student’s progress toward the degree.

Once established, students should attempt to meet formally with their entire committee at least once each semester. Students will work with their Dissertation Advisor and Dissertation Committee to prepare a Dissertation proposal. Selection of the student’s dissertation committee members, including the Dissertation Advisor, requires the mutual consent of the student and the faculty selected. A student is free to dissolve an existing committee and form a new one at any time. Similarly, the Dissertation Advisor is free to step down, and committee members to leave the committee, if research interests change or relationships prove incompatible.

Selection of the Dissertation Committee

Students will be asked to select their dissertation committee prior to taking the advanced qualifying exam.

The composition of the Committee is as follows:

  1. The committee must be composed of at least 5 members.
  2. The student’s Dissertation Advisor must serve as the committee chair and must come from the student’s home institution.
  3. At least 1 committee member must be from the student’s non-home institution.
  4. At least three committee members must be designated as BDSI core faculty. 

At MUSC, both the Dissertation Advisor and the Dissertation Advisory Committee must be approved by the Graduate Training Director and the Department Chair.

At Clemson, the dissertation committee is selected and approved through the submission of the GS2-Committee Selection. Directions and filing deadlines for the GS2 Committee Selection can be found at https://www.clemson.edu/graduate/academics/plan-of-study.html.

Plan of Study

Students will work with their Graduate Program Coordinator, Advisor, and Dissertation Committee to construct a plan of study that conforms to course requirements and takes into account both the student’s prior preparation and intended area of research. Because the curriculum will be tailored to each student, the time needed to complete the degree will vary, but it is generally expected that students can complete the degree in five years or less.

For Clemson students, the plan of study is documented by filing a GS2-Plan of Study. Both the student’s curriculum and dissertation committee may be revised as necessary by submitting a new GS2. Directions and filing deadlines for the GS2 can be found at https://www.clemson.edu/graduate/academics/plan-of-study.html.

At Clemson, a plan of study must be on file and signed by the student’s dissertation committee prior to sitting for the qualifying exam.

Ph.D. Advanced Qualifying Exam

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 (typically in August). At Clemson, a student must submit their GS2-committee selection prior to sitting for their exam. The Student Progress Committee hosts an information session each Spring to provide details about the exam and answer student questions. The examination assesses competency in Areas I-IV as outlined in the curriculum. Questions for each of the four Areas are graded Pass/Fail.

There are three possible results for the exam:

  1. The student receives a Pass in all four Areas, and therefore receives a PASS for the exam as a whole.
  2. The student receives a Pass in two or fewer Areas, and therefore receives a FAIL for the exam as a whole.
  3. The student receives a Pass in three Areas. The student must then take a follow-up examination, designed and administered by the Student Progress Committee within half a year of the original exam date, focusing specifically on the Area not passed. The overall exam result will then become either PASS or FAIL depending on the outcome of the follow-up. 

A student who receives a grade of FAIL for their first attempt must re-take the full qualifying exam the next year. For a student who receives a grade of FAIL on their second attempt, the BDSI executive committee will convene to confirm their dismissal from the program.

The purpose of doctoral qualifying exams is for students to demonstrate their competencies in key areas of their specific field. Students may consult online resources but are not allowed to use generative AI (e.g., ChatGPT) on any component of their qualifying exam.

Dissertation Proposal

After passing the advanced qualifying exam, students should prepare a Dissertation Proposal in consultation with their Dissertation Advisory Committee. Students should complete their proposal defense within one year of passing their qualifying exam. At MUSC, the topic chosen for the thesis or dissertation must be approved by the Department Chair for Public Health Sciences, with regard to the scope of research and the availability and utilization of departmental resources, as well as by the Dean of the College of Graduate Studies.

The Dissertation Proposal should identify either a methodological problem or a hypothesis to be tested and describe the design and approach for addressing the proposed problem. This proposal should show evidence of creative integration of course material, as well as a sound understanding of the relevant literature, and should follow the format of a National Institute of Health (NIH) F31 grant proposal or National Science Foundation (NSF) grant application. An NIH-style proposal should include a specific aims page along with six pages explaining the proposal's significance, innovation, and approach, as well as an additional chapter of literature review of approximately 5,000 words. An NSF-style proposal should include a summary page along with 15 pages of project description. In the NSF-style proposal, the project description should include a thorough literature review. The list of references in the bibliography will not be included in any of the required page counts.

Once completed, students should schedule their proposal defense at least one month prior to the presentation date and submit a written copy of their Dissertation Proposal to each member of their Dissertation Committee, allowing a minimum of two weeks prior to the proposal’s presentation for review of the written document. At MUSC, the student also notifies the Public Health Sciences Department Chair and the Graduate Training Director of the date and submits a copy of the Dissertation Proposal to both.

Students should consult the Graduate Services Coordinator at their home institution for details regarding the scheduling protocol and approval process for their Dissertation Proposal. On the date of the scheduled proposal, the student will present the Dissertation Proposal publicly, then defend the plan to their dissertation committee during a closed-door session. The public presentation should begin with a formal 45–50-minute presentation that outlines the student’s research questions, their significance, and the methods proposed for their solution. The presentation is then followed by a question-and-answer session with the audience before the student completes the closed-door session with their Dissertation Committee.

If the proposal is not approved, it may be repeated an indefinite number of times, subject to the consent of the Committee. Upon successful completion of both the qualifying examination and the proposal defense, the Dissertation Advisory Committee recommends that the student be admitted to candidacy by their signatures on the Admission to Candidacy form at MUSC, and on the Research Approval Form at Clemson. A successful proposal must occur at least one year prior to the date of the student's final dissertation defense.

Ph.D.. Dissertation

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.

Students should strive to present the results of their research at a national or international meeting of a professional society and to publish their results in a peer-reviewed professional journal prior to graduation. A distinguished publication record is considered by the academic community as the primary indicator of professional qualification in the sciences.

For formatting guidelines and submission protocol, students should consult the Graduate Services Coordinator at their home institution.

Oral Defense of Doctoral Dissertation

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 for the Ph.D. degree.

Students should schedule their dissertation defense at least one month prior to the presentation date and submit a written copy of their dissertation to each member of their Dissertation Committee, allowing a minimum of two weeks prior to the dissertation defense for review of the written document.

Students should consult the Graduate Services Coordinator at their home institution for detail regarding the scheduling protocol for their oral defense.

Your path to admission

Discover key information about application steps and required documentation to help you move forward with confidence.

Eligibility Requirements

All applicants must:

  • Hold a bachelor’s degree from a regionally accredited institution in the U.S. or its equivalent from a foreign institution with a cumulative GPA of 3.0 or higher on a 4.0 scale.
  • Provide evidence of research experience, except applicants who have majored in mathematics or a similar field.

Minimum Abilities

At MUSC, we actively support all students to ensure their success in both academic and clinical settings. To support this goal, the university outlines the essential qualities and functional abilities required for participation in its educational programs. These include a range of observational, communication, motor, intellectual and behavioral skills necessary for safe and effective practice.

View the full list

Prerequisites

Prerequisites for biostatistics are single and multivariable college-level calculus. The epidemiology prerequisite is single variable college-level calculus. Under special circumstances, an applicant may be admitted to the program under the provision that all prerequisites are satisfied before beginning the program.

The Graduate Record Examination (GRE) is not required, but applicants are strongly encouraged to submit recent official scores on the quantitative and verbal portions of the GRE. Scores more than five years old will not be accepted.

Frequently Approved Prerequisites

Before applying, it's essential to ensure that any prior coursework meets the admissions requirements. MUSC provides a helpful reference list of frequently approved prerequisite courses to guide you in understanding which classes may satisfy your program's requirements. To explore the list, visit our Frequently Approved Prerequisites page.

Application Process

The following process outlines how and when your materials will be reviewed.

  • Submit the MUSC Application.
  • The admissions process is rolling, and you are encouraged to submit all of your application materials by Dec. 1 for best consideration.
  • Once an application is complete, it is sent for evaluation to the Graduate Admissions Committee. Selected applicants are invited to visit the campus, and the cost of the visit is partially defrayed by the College. The visit includes interviews with members of the Graduate Admissions Committee, campus tours, introductions to the graduate training programs, and discussions with faculty.
  • After an applicant is interviewed, the Graduate Admissions Committee meets to decide on the qualifications of each applicant. Applicants are notified within one to two weeks of the interview of the committee’s decision.

Interview weekends take place in January, February, and March.

Application Requirements

  • MUSC Application: All applicants must submit an MUSC application.
  • Official transcripts: Applicants must submit official transcripts from all institutions attended.
  • Letters of recommendation: All applicants must provide three academic or professional references from individuals who have had close contact with the applicant during their undergraduate, graduate, or research training and should address the applicant’s aptitude and capabilities for a research-oriented career. Preference is given to letters from academic advisors, research mentors, and instructors.
  • Personal statement: All applicants must provide a personal statement, not to exceed 1,000 words, describing their reasons for wanting to enroll in the program, a discussion of their area(s) of interest, and future goals. Applicants should provide details on their scholastic and research achievements and why MUSC is an ideal setting for graduate studies (e.g., by citing departmental faculty with shared research interests).

International Applicants

MUSC welcomes international applicants and offers tailored guidance to support you throughout the admission process. View details at International Applicants. 

Funding your path forward

Discover how MUSC’s tuition structure and funding opportunities empower students to pursue advanced study without financial barriers.

Tuition

Fee Type Fee
Application Fee (per application) $95
Matriculation Fee (upon applicant acceptance) $250

Tuition and fees listed below are per semester unless otherwise noted.

Full-time

Tuition/Fee Type Fall Spring Summer Annual
In-state Tuition $7,475 $7,475 $7,475 -
Out-of-state Tuition $9,948 $9,948 $9,948 -

Part-time

Tuition/Fee Type Fall Spring Summer Annual
In-state Tuition (per credit hour) $644 $644 $644 -
Out-of-state Tuition (per credit hour) $983 $983 $983 -
Part-time Student Fee $861 $861 $861 -

Cost of Attendance

Item Year 1 Year 2 Year 3 Year 4 Year 5 Est. Total*
Direct Costs
Tuition - In-state/Out-of-state $23,502 / $29,843 $23,502 / $29,843 $23,502 / $29,843 $23,502 / $29,843 $23,502 / $29,843 $117,510 / $149,215
Health Insurance $3,780 $3,780 $3,780 $3,780 $3,780 $18,900
Fees $300 $300 $300 $300 $300 $1,500
Direct Costs Subtotal $27,582 / $33,923 $27,582 / $33,923 $27,582 / $33,923 $27,582 / $33,923 $27,582 / $33,923 $137,910 / $169,615
Indirect Costs
Housing/Food $27,144 $27,144 $27,144 $27,144 $27,144 $135,720
Personal $2,880 $2,880 $2,880 $2,880 $2,880 $14,400
Transportation $3,240 $3,240 $3,240 $3,240 $3,240 $16,200
Books/Required Expenses $1,960 $1,960 $1,960 $1,960 $1,960 $9,800
Indirect Costs Subtotal $35,224 / $35,224 $35,224 / $35,224 $35,224 / $35,224 $35,224 / $35,224 $35,224 / $35,224 $176,120 / $176,120
Total - In-state/Out-of-state $62,806 / $69,147 $62,806 / $69,147 $62,806 / $69,147 $62,806 / $69,147 $62,806 / $69,147 $314,030 / $345,735

Disclaimer: The Estimated Total listed above reflects an approximation of educational costs for planning purposes only. Actual expenses may vary based on individual circumstances, program requirements, and annual changes in tuition, fees, and other costs. The Medical University of South Carolina reserves the right to adjust tuition, fees, and other charges at any time without prior notice.

Scholarships

MUSC offers scholarships for which you may be eligible. Some are awarded based on academic achievement; others are awarded based on community service, for example. However, the majority of scholarships awarded at MUSC are based on financial need. This means that these scholarships are only awarded to students who need some financial assistance to cover the cost of tuition and fees. If you would like to be considered for a financial need-based scholarship, you must have an up-to-date Free Application for Federal Student Aid (FAFSA) on file. Make sure you list the Medical University of South Carolina on your FAFSA form, along with MUSC's code: 003438. We encourage you to submit your FAFSA as early as possible. It is recommended to submit your FAFSA in January if you plan to enroll in the fall.

Click here to visit our scholarship application system to view a complete listing of MUSC scholarships.

Financial Assistance

Full-time Ph.D. students on assistantships receive both a stipend and tuition support. Assistantships are awarded on a competitive basis to qualified students, both domestic and international. All qualified students are considered for assistantships when applications are processed.

Graduate students are eligible for an assistantship if they are enrolled in full-time graduate study, in good academic standing, and making satisfactory progress toward their degree. At Clemson, full-time study during the Fall and Spring semester is 9 credit hours per semester. Assistantships that occur over the summer also require summer enrollment. Full-time study during the summer semester is 6 credit hours. Full time study and funding for students at MUSC require a minimum of 15 credit hours per semester.

Program Faculty

Alexander Alekseyenko, Ph.D.

Program for Human Microbiome Research, Founding Director
Environmental and Biomedical Panomics SmartState Chair
Professor, Biomedical Informatics Center, Department of Public Health Sciences, College of Medicine, and Department of Oral Health Sciences, College of Dental Medicine, and Department of Healthcare Leadership and Management, College of Health Professions

Paul Heider, Ph.D.

Jihad Obeid, M.D. wearing a grey suit

Jihad Obeid, M.D.

Assistant Vice President for Research – AI Strategy & Research Intelligence
Professor, College of Medicine – Public Health Sciences

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Guided by purpose & principles

Grounded in interdiscplinary collaboration, this program cultivates intellectual curiosity, ethical leadership, and a commitment to advancing public health through data-driven approaches.

Objectives

The Ph.D. in Biomedical Data Sciences & Informatics program aims to prepare graduates to: 

  • Integrate data science, biomedical research, and clinical applications to address complex health challenges
  • Conduct original, rigorous, and ethical research that advanced discovery in precision medicine, population health, and translational informatics
  • Collaborate across disciplines and institutions to promote innovation and equity in health outcomes
  • Apply advanced computational, statistical, and engineering methods to design scalable, data-driven solutions for biomedicine
  • Lead research initiatives and mentor future scientists within academic, clinical, industry, and public health settings 

 

Competencies

Upon completion of the Ph.D. in Biomedical Data Sciences & Informatics program, graduates will be able to: 

  • Design and conduct independent, interdisciplinary research integrating data science, biomedical informatics, and public health principles
  • Apply machine learning, computational modeling, and informatics tools to analyze complex biomedical datasets and derive actionable insights
  • Communicate scientific findings effectively to academic, clinical, and public audiences with clarity, precision, and integrity
  • Demonstrate leadership and ethical decision-making in collaborative research environments
  • Translate biomedical data science innovations into practical applications that improve health care delivery and outcomes 

Vision

To advance human health and scientific discovery through data-driven innovation that unites computing, biomedical science, and collaboration to solve complex challenges in medicine and public health.

Mission

To develop compassionate and ethical research leaders who integrate biomedical data science and informatics to generate transformative insights that improve health outcomes through interdisciplinary collaboration, innovation, and integrity.

Values

At the core of our program, we are guided by a commitment to the following values that drive our mission:

  • Compassion: We act with kindness, empathy and dignity.
  • Collaboration: We achieve common goals through teamwork and partnerships.
  • Innovation: We drive transformation by embracing new ideas, discoveries and practices.
  • Integrity: We do the right thing and commit to accountability in words, actions and use of resources.
  • Respect: We value everyone and their many perspectives to build trust and a sense of belonging.

Stories worth sharing 

Stay updated with news, publications, achievements, and breakthroughs by students and faculty in the College of Graduate Studies. 

Accreditation & Recognition

The Medical University of South Carolina is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) to offer the Doctor of Philosophy in Biomedical Data Sciences & Informatics. To learn more about MUSC’s accreditation and find contact details, please visit our Accreditation page.