Southern Methodist University

What you'll study

The programme combines rigorous core statistical theory with specialised biostatistical methods and substantial original research. Early coursework typically covers probability theory, statistical inference, linear models, and computational methods. Biostatistics-specific modules often include survival analysis, longitudinal and repeated-measures methods, categorical data analysis, clinical trial design and analysis, statistical genomics and high-dimensional data methods, Bayesian biostatistics and causal inference.

Beyond coursework, students take advanced electives that reflect current methodological developments (for example machine learning for healthcare, functional data analysis, or adaptive trial methods) and participate in research seminars. Training emphasises practical data analysis, reproducible computing and collaboration with biomedical researchers; many students complete applied projects with faculty in clinical, public health or laboratory settings. The doctoral sequence culminates in a qualifying examination to enter candidacy and the production and defence of an original doctoral dissertation based on independent research.

Entry requirements

• Academic background: A strong quantitative background is required. Applicants commonly hold a master's degree in statistics, biostatistics, mathematics or a closely related quantitative discipline; exceptionally well-prepared applicants with a bachelor’s degree and substantial coursework or research experience in statistics may be considered.
• Preparation: Prior coursework in probability, mathematical statistics, linear models and computational statistics is expected. Practical experience with statistical programming (R, Python, SAS or similar) and experience analysing real datasets are advantageous.
• Application materials: Typical materials include academic transcripts, a statement of purpose describing research interests and goals, letters of recommendation that speak to quantitative and research potential, and a curriculum vitae. Examples of prior research, publications or a portfolio of analysed projects strengthen an application.
• Standardised tests and English language: Requirements for standardised tests (such as the GRE) and English language proof for non-native speakers vary over time; applicants should consult the department for current policy. Strong quantitative test scores, when provided, can support an application but are evaluated alongside the whole profile.

Career prospects

Graduates with a PhD in Statistics focused on biostatistics pursue careers across academia, industry and the public sector. Common paths include faculty positions in universities and schools of public health, methodological or translational research roles in pharmaceutical and biotech companies, statistical leadership in clinical trial organisations and contract research organisations, and analyst or senior scientist positions in government agencies and healthcare systems. Skills in causal inference, clinical-trial design, high-dimensional data analysis and statistical computing also open opportunities in data science, policy research and regulatory science.

Why study at Southern Methodist University

Southern Methodist University provides doctoral training in a collegial department with opportunities for close mentorship and collaboration across biomedical disciplines. Students benefit from access to a broad network of applied collaborators—clinicians, population-health researchers and laboratory scientists—within the university and the regional medical community. Funding support is typically available through research and teaching appointments, and students gain experience presenting at seminars and conferences, publishing methodological and applied work, and preparing for careers that bridge theory and practice in biostatistics.