Northern Arizona University

What you'll study

The programme combines rigorous foundations in probability and statistical theory with applied methods used in biological and health sciences. Core topics typically include probability theory, mathematical statistics, linear models and regression, generalized linear models, and statistical computing (with R and/or SAS). Biostatistics‑focused modules commonly cover survival analysis, categorical data analysis, longitudinal and repeated measures methods, design and analysis of clinical trials, and Bayesian methods for applied health research.

Students choose between thesis and project/non‑thesis routes. The thesis option emphasises original research under faculty supervision and prepares students for doctoral study, while the non‑thesis track emphasises applied projects or a practicum with external partners. The programme usually requires completion of a specified number of graduate credits, including core courses, electives in advanced statistical methods, and a culminating experience (thesis, project or comprehensive exam).

• Core statistical theory and inference
• Regression and generalized linear models
• Design of experiments and clinical trials methodology
• Survival and longitudinal data analysis
• Statistical computing and data management
• Applied biostatistical consulting and practicum options

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in statistics, mathematics, biostatistics, or a closely related quantitative discipline. Typical preparation includes coursework in calculus (including multivariable calculus), linear algebra, introductory probability and mathematical statistics. Practical experience with statistical software (for example R, SAS or Python) is advantageous.

Admission materials generally include an online application, official transcripts, a statement of purpose describing research and career objectives, and a current CV or résumé. Most applicants are asked to provide two or three letters of recommendation. Graduate record examinations may be considered where required by the department or for applicants whose academic background needs further evidence of quantitative preparation. International applicants must demonstrate English language proficiency according to university requirements.

Career prospects

Graduates are prepared for roles as biostatisticians and statistical analysts across a range of sectors. Common career destinations include clinical research organisations, pharmaceutical and biotechnology companies, public‑health agencies, hospitals and healthcare systems, academic and government research laboratories, and non‑profit health organisations. Typical job titles include Biostatistician, Statistical Programmer, Clinical Data Analyst, Research Statistician and Data Scientist. The programme also provides a firm foundation for students who intend to pursue doctoral study in biostatistics or related quantitative fields.

Why study at Northern Arizona University

Northern Arizona University offers a programme that emphasises applied training and collaborative research, with faculty who work on interdisciplinary problems spanning health, ecology and environmental sciences. Students benefit from hands‑on experience with real datasets, opportunities for practicum or internship placements with regional health and research organisations, and access to university computing resources and statistical consulting. The department’s size supports close mentorship and the chance to develop a personalised programme that aligns with either applied practice or further academic study.