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The Doctor of Philosophy in Biomedical Data Science and Informatics program (BDSI Ph.D.) is a joint program offered by Clemson University and the MUSC, bringing together Clemson's strengths in computing, engineering, and public health and MUSC's expertise in biomedical sciences. The program preprares 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.
Priority Deadline
Dec 1
Final Deadline
Jan 15
Students engage in rigorous coursework, hands-on training in machine learning, informatics, genomics, and population health, complemented by experiential research across MUSC and Clemson.
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.
Additional tracks may be developed to meet emerging research interests and health needs.
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 credit hours):
Additional requirements include passing a qualifying exam, a dissertation proposal, and ultimately a dissertation and its defense.
Students will have a designated "home institution" -- either 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.
*This course is delivered through Clemson University as part of a joint Biomedical Data Science and Informatics program.
| Course | Title | Credits |
|---|---|---|
| Biomedical Informatics Foundations | ||
| BDSI701 (MUSC) | Introduction to Biomedical Informatics | 3 |
| BDSI702 (MUSC) | Biomedical Data Standards | 3 |
| Research Foundations (Choose 1) | ||
| BDSI8210 (MUSC) | Health Research I | 3 |
| DHA866 (MUSC) | Applied Research | 3 |
| HIN708 (MUSC) | Applied Statistical and Research Methods | 3 |
| Track Specific Course (Choose 1) | ||
| BDSI711 (MUSC) | Precision Medicine Informatics | 3 |
| BDSI712 (MUSC) | Translational Informatics | 3 |
| BDSI8900 (CLEM) | Population Health Informatics | 3 |
| Electives (Choose 1–2, Minimum 3 Credit Hours) | ||
| CPSC8450 (CLEM) | Bioinformatics Algorithms | 3 |
| BMTRY783 (MUSC) | Statistical Methods for Bioinformatics | 2 |
| BDSI#### (MUSC) | Panomics | 3 |
| BDSI#### (MUSC) | Consumer and Quantified Self | 2 |
| BDSI#### (MUSC) | Health Enterprise Analytics | 2 |
| BDSI731 (MUSC) | Microbiome Informatics | 2 |
| Area Total | 15–16 |
| Course | Title | Credits |
|---|---|---|
| Systems & Database Management (Choose 2) | ||
| BDSI8710 (CLEM) | Foundations of Software Engineering | 3 |
| BDSI#### (CLEM) | Software Design | 3 |
| Computing Environments | ||
| BDSI#### (CLEM) | Computational Science | 3 |
| BDSI6780 (CLEM) | General Purpose Computation on GPUs | 3 |
| BDSI#### (CLEM) | High Performance Computing with GPUs | 3 |
| BDSI8200 (CLEM) | Parallel Architectures | 3 |
| BDSI#### (CLEM) | Introduction to Parallel Systems | 3 |
| BDSI#### (CLEM) | Principles of Scientific Computing | 3 |
| Data Management Tools & Technology | ||
| BDSI6620 (CLEM) | Database Management | 3 |
| BDSI#### (CLEM) | Database Management System Design | 3 |
| BDSI8470 (CLEM) | Introduction to Information Retrieval | 3 |
| Human Factors, HCI, & Usability | ||
| BDSI6140 (CLEM) | Human & Computer Interaction | 3 |
| BDSI8310 (CLEM) | Fundamentals of Human-Centered Computing | 3 |
| BDSI8000 (CLEM) | Human Factors Engineering | 3 |
| Math & Computing Foundations (Choose 1) | ||
| BDSI8010 (MUSC) | Statistical Methods I | 3 |
| BDSI8050 (MUSC) | Data Analysis | 3 |
| BMTRY700 (MUSC) | Introduction to Clinical Biostatistics | 3 |
| Machine Learning / Data Science (Choose 1) | ||
| BDSI6420 (CLEM) | Artificial Intelligence | 3 |
| BDSI6300 (MUSC) | Applied Data Science | 3 |
| BDSI721 (MUSC) | Applied Machine Learning | 3 |
| BDSI6430 (CLEM) | Machine Learning: Implementation & Evaluation | 3 |
| BDSI#### (CLEM) | Advanced Machine Learning | 3 |
| Biostatistics (Choose 2) | ||
| BDSI#### (CLEM) | Biostatistics | 3 |
| BDSI8310A (MUSC) | Quantitative Analysis | 3 |
| BMTRY701 (MUSC) | Biostatistical Methods II | 4 |
| Data Mining | ||
| BDSI8650 (CLEM) | Data Mining | 3 |
| BDSI#### (CLEM) | Pattern Recognition | 3 |
| BDSI#### (CLEM) | Network Science | 3 |
| BMTRY719 (MUSC) | Bayesian Biostatistics | 3 |
| BDSI#### (CLEM) | Applied Multivariate Statistical Analysis | 3 |
| Visualization & Exploratory Data Analysis | ||
| BDSI6030 (CLEM) | Data Visualization | 3 |
| BDSI8031 (CLEM) | Scientific Visualization | 3 |
| BDSI8430 (CLEM) | Deep Learning | 3 |
| Image & Signal Processing | ||
| BDSI#### (CLEM) | Introduction to Computer Vision | 3 |
| BDSI#### (CLEM) | Introduction to Digital Signal Processing | 3 |
| BDSI#### (CLEM) | Digital Image Processing | 3 |
| BDSI6310 (CLEM) | Medical Imaging | 3 |
| Decision Analysis / Knowledge Integration / Modeling | ||
| BDSI6410 (CLEM) | Introduction to Stochastic Models | 3 |
| BDSI#### (CLEM) | Knowledge Engineering | 3 |
| BDSI#### (CLEM) | Engineering Optimization & Applications | 3 |
| Geospatial Analysis | ||
| BDSI#### (CLEM) | GIS for Public Administrators | 3 |
| BDSI#### (MUSC) | GIS & Mapping for Public Health | 3 |
| Algorithms / Data Structures | ||
| BDSI#### (CLEM) | Design & Analysis for Algorithms | 3 |
| BDSI8380 (CLEM) | Advanced Data Structures | 3 |
| Natural Language Processing | ||
| BDSI722 (MUSC) | Clinical Natural Language Processing | 2–3 |
| Area Total | 18 |
| Course | Title | Credits |
|---|---|---|
| Ethical, Legal & Social Issues, Privacy, and Security (Choose 2) | ||
| HAP735 (MUSC) | Health Law & Risk Management | 3 |
| HIN716 (MUSC) | Ethical, Legal, & Regulatory | 3 |
| Health Systems | ||
| BDSI8110 (MUSC) | Health Care Delivery Systems | 3 |
| BDSI#### (CLEM) | Health Economics | 3 |
| DHA807 (MUSC) | Managing Healthcare Information | 3 |
| Health Policy | ||
| HAP704 (MUSC) | Health Policy | 3 |
| BDSI8100 (CLEM) | Health Policy | 3 |
| Population Health | ||
| BDSI#### (CLEM) | Population Health & Research | 2 |
| BDSI#### (CLEM) | Epidemiology | 3 |
| BMTRY736 (MUSC) | Foundations of Epidemiology I | 3 |
| DHA850 (MUSC) | Population Health Management | 3 |
| BMTRY747 (MUSC) | Foundations of Epidemiology II | 3 |
| Quality & Safety | ||
| BDSI#### (CLEM) | Health System Quality Improvement | 2 |
| HAP632 (MUSC) | Quality Management of Health Care Services | 3 |
| Area Total | 5–6 |
| Course | Title | Credits |
|---|---|---|
| Biochemistry/Pathology (Choose 1) | ||
| BDSI#### (CLEM) | Molecular Biology: Genes to Proteins | 3 |
| BDSI#### (CLEM) | Molecular Basis of Disease | 3 |
| BDSI#### (CLEM) | Advanced Biochemistry | 3 |
| Foundations of Biomedical Sciences | ||
| BDSI#### (CLEM) | Biomedical Basis for Engineered Replacement | 3 |
| CGS766 (MUSC) | Genes: Inheritance & Expression | 4 |
| BDSI#### (CLEM) | Computational Biophysics | 3 |
| BDSI#### (CLEM) | Practical Bioinformatics for Microbiologists | 3 |
| BDSI#### (CLEM) | Concepts in Molecular, Cellular and Developmental Biology | 3 |
| BDSI#### (CLEM) | Concepts in Evolution, Ecology and Organismal Biology | 3 |
| CGS767 (MUSC) | Cells: Organization & Communication | 3 |
| BDSI6400 (MUSC) | Bioinformatics | 3 |
| Genetics | ||
| BDSI6700 (MUSC) | Human Genetics | 3 |
| BDSI#### (CLEM) | Introduction to Applied Genomics | 3 |
| BDSI#### (CLEM) | Statistical Genetics | 3 |
| BDSI#### (CLEM) | Introduction to Quantitative Genetics | 3 |
| BDSI#### (CLEM) | Advanced Genetics | 3 |
| BDSI#### (CLEM) | Molecular Genetics and Gene Regulation | 3 |
| BDSI#### (CLEM) | Population & Quantitative Genetics | 3 |
| BDSI#### (CLEM) | Molecular Genetics of Eukaryotes | 3 |
| Genomics | ||
| BDSI6700 (MUSC) | Human Genetics | 3 |
| BDSI#### (CLEM) | Introduction to Applied Genomics | 3 |
| BDSI#### (CLEM) | Principles of Pharmacogenomics | 3 |
| BDSI#### (CLEM) | Systems Biology and Pharmacology | 3 |
| BDSI#### (CLEM) | Advanced Medical Bioinformatics | 3 |
| BDSI#### (CLEM) | Genomics and Proteomics | 3 |
| BDSI#### (CLEM) | Molecular Diagnostics and Pathogen Genomics | 3 |
| BDSI#### (CLEM) | Regulatory Genomics | 3 |
| Area Total | 3–4 |
| Course | Title | Credits |
|---|---|---|
| BDSI720 (MUSC) | Lab Rotation | 2 |
| BDSI700 (MUSC) | BDSI Seminar | 4 |
| BDSI771 (MUSC) | Health Equity | 1 |
| BDSI780 (MUSC) | BDSI Special Topics | 1–3 |
| BDSI970 (MUSC) | Research | 18 |
| Area Total | 24 | |
| Curriculum Total | 65–68 |
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 (see next section). 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.
Students will be asked to select their dissertation committee prior to taking the advanced qualifying exam.
The composition of the Committee is as follows:
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.
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.
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.
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:
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.
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.
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.
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 from 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.
Join a dynamic academic health science environment enriched by regular departmental seminars, journal clubs, research days, and collaborations across laboratories.
Discover key information about application steps and required documentation to help you move forward with confidence.
All applicants must:
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. You can view the full list of minimum abilities by visiting the Minimum Abilities page.
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.
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.
The following process outlines how and when your materials will be reviewed.
Interview weekends take place in January, February, and March.
MUSC welcomes international applicants and offers tailored guidance to support you throughout the admission process. View details at International Applicants.
Discover how MUSC’s tuition structure and funding opportunities empower students to pursue advanced study without financial barriers.
| Fee Type | Fee |
|---|---|
| Application Fee (per application) | $50 |
| Matriculation Fee (upon applicant acceptance) | $250 |
Tuition and fees listed below are per semester unless otherwise noted.
| 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 | - |
| 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 | - |
| 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.
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.
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.
Associate Program Director
843-792-2043
alekseye@musc.edu
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Professor, College of Medicine – Public Health Sciences
Charleston offers a unique blend of coastal beauty and modern convenience. With top-rated dining, scenic waterfronts and endless outdoor activities, the city offers an unmatched quality of life for residents, striking a balance between work and leisure.
Grounded in interdiscplinary collaboration, this program cultivates intellectual curiosity, ethical leadership, and a commitment to advancing public health through data-driven approaches.
The Ph.D. in Biomedical Data Sciences & Informatics program aims to prepare graduates to:
Upon completion of the Ph.D. in Biomedical Data Sciences & Informatics program, graduates will be able to:
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.
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.
At the core of our program, we are guided by a commitment to the following values that drive our mission:
Stay updated with news, publications, achievements, and breakthroughs by students and faculty in the College of Graduate Studies.
This program meets established scholarly and professional benchmarks through rigorous academic standards, institutional oversight, and alignment with national best practices in graduate education.
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.