North Carolina State University

What you'll study

The programme combines rigorous theoretical training in probability and statistical inference with specialised coursework and research in biostatistical methods. Core topics typically include probability theory, mathematical statistics, linear models and statistical computing. Biostatistics-focused modules and areas of study commonly include survival analysis, longitudinal and correlated data, categorical data analysis, clinical trial design and analysis, statistical genetics and genomics, Bayesian methods, causal inference, and high-dimensional data analysis.

Students complete advanced coursework, pass qualifying or comprehensive examinations, and engage in original research under the supervision of faculty. Research training emphasises methodological development and applied collaboration with biomedical scientists; many students participate in interdisciplinary projects with clinical researchers, public-health practitioners and industry partners. The programme also expects doctoral candidates to gain teaching experience and to present and publish their research in peer-reviewed venues.

Entry requirements

Applicants are expected to have a strong quantitative background. Typical preparation includes an undergraduate or master’s degree in statistics, mathematics, biostatistics, computer science, or a closely related discipline, with coursework in probability, mathematical statistics, linear algebra and multivariable calculus. Practical experience with statistical computing and programming (for example R, Python, or similar) is highly desirable.

Admissions committees look for evidence of mathematical maturity and research potential: academic transcripts, a statement of research interests, curriculum vitae, and strong letters of recommendation. International applicants must demonstrate English proficiency according to university requirements. Specifics on minimum grade expectations, required documents and any departmental statements on standardised tests are provided by the department and the university graduate admissions office.

Career prospects

Graduates with a PhD in Statistics specialising in biostatistics pursue a range of careers. Many secure academic positions as faculty or postdoctoral researchers in statistics, biostatistics or related disciplines. Others join pharmaceutical and biotechnology companies in clinical trial design, regulatory statistics and translational research, or work in contract research organisations. Additional career paths include roles in public-health agencies, hospitals and clinical research organisations, research institutes, and data-science or analytics teams in industry and government where expertise in complex biomedical data is required.

Graduates are also well placed for leadership roles that bridge methodology and application, such as directing statistical cores for clinical research, consulting on omics projects, or contributing to policy and regulatory decision-making where rigorous statistical evidence is needed.

Why study at North Carolina State University

North Carolina State University hosts an established statistics department with faculty who work on both theoretical and applied problems in biostatistics. The university’s location in the Research Triangle provides strong opportunities for interdisciplinary collaboration with nearby medical centres, public-health schools and biotechnology companies. Students benefit from access to diverse applied projects, computational resources and collaborative research centres across campus.

The department typically supports doctoral students through assistantships and fellowships that combine research and teaching experience. Students gain mentorship from faculty with expertise in clinical trials, genetics, longitudinal methods and computational statistics, preparing them for research careers that require both methodological depth and applied impact.