The Doctor of Philosophy (Ph.D.) in Biostatistics program at MUSC prepares students to become leaders in data-driven public health and biomedical research. With a focus on the development and application of statistical methods, this rigorous doctoral program equips students with the skills to design innovative studies, analyze complex data, and translate scientific findings into meaningful health outcomes. Students gain a solid foundation in statistical theory, computation, and methodology, supported by hands-on training and interdisciplinary research opportunities across MUSC's clinical and translational research enterprise.
Fall 2027 Priority
Sept 1, 2026 - Dec 12, 2026
Fall 2027
Dec 13, 2026 - Jan 15, 2027
Engage in rigorous coursework, hands-on computation, and applied interdisciplinary research across MUSC's clinical and translational enterprise.
In our Ph.D. in Biostatistics program, students engage in a dynamic blend of advanced coursework, computational training, and real-world research that builds both depth and breadth in quantitative science. From the first semester, you will deepen your mastery of statistical theory and methods while applying those tools to complex biomedical and public health problems.
Through mentored collaborations with faculty across clinical and translational research teams, you will design studies, analyze large and complex datasets, and contribute to methodological innovations that address pressing health challenges. Our curriculum is structured to accelerate your growth as a scholar, with opportunities for teaching experience, professional development, and interdisciplinary engagement that position you for careers in academia, government, industry, or research leadership.
The Doctor of Philosophy in Biostatistics curriculum consists of 180-315 credits and is designed to be completed in 21 semesters. Below is the standard plan of study outlining the structured progression of coursework as you advance through the program.
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY700 | Intro to Clin Biostatistics | 3 |
| BMTRY706 | Theoretical Foundation/Stat I | 3 |
| BMTRY736 | Foundations of Epidemiology | 3 |
| BMTRY776 | Public Health Seminar | 1 |
| BMTRY970 | Research | 3 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY701 | Biostatistical Methods II | 4 |
| BMTRY707 | Theoretical Foundation/Stat II | 3 |
| BMTRY747 | Foundations of Epidemiology II | 3 |
| BMTRY776B | Public Health Seminar | 1 |
| BMTRY970B | Research | 2 |
| CGS770 | Principles Practices & Prof | 2 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY970C | Research | 12 |
| ELEC | Select course from Biostatistics elective pool | 3 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY711 | Analysis of Categorical Data | 3 |
| BMTRY9710D | Research | 9 |
| ELEC | Select course from Biostatistics elective pool | 3 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY714 | Linear Models in Biology & Med | 3 |
| BMTRY719 | Bayesian Biostatistics | 3 |
| BMTRY970E | Research | 9 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY702 | Methods IV: Advanced ANOVA & Regression | 4 |
| BMTRY722 | Analysis of Survival Data | 3 |
| BMTRY970F | Research | 5 |
| ELEC | Select course from Biostatistics elective pool | 3 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY779 | Advanced Inference | 4 |
| BMTRY970G | Research | 8 |
| ELEC | Select course from Biostatistics elective pool | 3 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY970H | Research | 12 |
| ELEC | Select course from Biostatistics elective pool | 3 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY970I | Research | 12 |
| ELEC | Select course from Biostatistics elective pool | 3 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY970J | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY970K | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY970L | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY970M | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY970N | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| BMTRY970O | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| TBD | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| TBD | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| TBD | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| TBD | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| TBD | Research | 15 |
| Semester Total | 15 | |
| Course ID | Course Title | Credits |
|---|---|---|
| TBD | Research | 15 |
| Semester Total | 15 | |
| Curriculum Total | 180-315 | |
Join a virtual information session to connect with our team to get your questions answered and learn how you can begin your research journey.
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.
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.
MUSC welcomes international applicants and offers tailored guidance to support you throughout the admission process. View details at International Applicants.
The following process outlines how and when your materials will be reviewed.
Interview weekends take place in January, February, and March.
As a residential Ph.D. student, you will be eligible to receive a stipend, health insurance, and tuition coverage, allowing you to focus on research, discovery, and academic growth. Barring special circumstances, this support should generally cover your primary academic expenses.
Tuition and fees listed below apply to the 2025 to 2026 academic year and are per semester unless otherwise noted.
| Fee Type | Fee |
|---|---|
| Application Fee (per application) | $50 |
| Matriculation Fee (upon applicant acceptance) | $250 |
| 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 | - |
The Cost of Attendance, or COA, is an estimate of a student's total educational expenses for an enrollment period. The information below reflects the 2025-26 academic year. The COA includes tuition and fees, which are direct costs billed to you by the university, as well as indirect costs you may incur, including food, housing, transportation, books, etc.
The COA is important because it reflects the maximum amount a student may borrow in an academic year to attend the program.
With careful budgeting, students can substantially lower their indirect costs, so their actual expenses are well below the COA. MUSC's Office of Student Financial Literacy can help students develop a budget that supports their educational and personal financial goals.
| Item | Year 1-4 | Est. Total |
|---|---|---|
| Direct Costs | ||
| In-State Tuition | $23,502 | $94,008 |
| Out-of-State Tuition | $29,843 | $119,372 |
| Health Insurance | $3,780 | $15,120 |
| Fees | $300 | $1,200 |
| In-State Total Direct Costs | $27,582 | $110,328 |
| Out-of-State Total Direct Costs | $33,923 | $135,692 |
| Indirect Costs | ||
| Living Expenses (Food and Housing) | $27,144 | $108,576 |
| Miscellaneous Personal Expenses | $2,880 | $11,520 |
| Transportation | $3,240 | $12,960 |
| Books, Course Materials, Supplies and Equipment | $2,760 | $11,040 |
| Total Indirect Costs | $33,252 | $144,096 |
| In-State Total Costs | $60,834 | $254,424 |
| Out-of-State Total Costs | $67,175 | $279,788 |
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.
My current work focuses on Bayesian methods for longitudinal, spatial and functional data analysis. This research has resulted in methodological papers in leading statistics journals, such as Biometrics, Biostatistics, Statistics in Medicine, and Bayesian Analysis. I have applied these methods to a wide range of subject-matter areas, including cancer genomics, environmental heath, maternal and child health, chronic disease prevention, and health services utilization. At MUSC, I have continued my research in breast cancer, recently collaborating with investigators from Hollings Cancer Center on a study examining molecular differences in breast cancer patients. Using data from the Cancer Genome Atlas, we published a high-profile paper in Biometrics that proposed new statistical methods for modeling copy number variations among correlated cancer-relevant pathways (e.g., MAPK, Endocytosis and CCR Interaction).
I have been a member of the Hollings Cancer Center’s (HCC’s) Biostatistics Shared Resource (BSR) since 2007 and was appointed the BSR’s director in 2017. In January 2020 I joined Eli Lilly and Company where I served as Statistical Director of the Early Phase Oncology Program, with direct oversight of the development and conduct of Lilly’s early phase (largely first-in-human) portfolio. I returned to MUSC in January 2021 to resume directorship of the BSR. In my 15+ years of BSR affiliation, I have collaborated with MUSC cancer center investigators spanning the oncology research continuum from designing bench experiments and early phase clinical trials to analyzing data from laboratories and large-scale epidemiologic databases. I have served as the biostatistics core director (PI or co-PI) for both multi-project (P01 and U54) and center grants (P30s), and I have a strong track record of continuous funding as co-investigator with numerous cancer center investigators.
Academic Focus
Design, conduct and analysis of clinical trials
Statistical methods accounting for missing data
Stroke clinical trials
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.
To advance human health and scientific discovery through innovative statistical research that transforms data into actionable knowledge across biomedical and public health disciplines.
At the core of our program, we are guided by a commitment to the following values that drive our mission:
To cultivate ethical biostatistical scientists who integrate theory, computation, and interdisciplinary inquiry to generate evidence that drives medical innovation, informs policy, and enhances population health outcomes.
Stay updated on faculty and student achievements in clinical research through regular College of Graduate Studies news and spotlights, including groundbreaking discoveries and event highlights.
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 Biostatistics. To learn more about MUSC’s accreditation and find contact details, please visit our Accreditation page.