Florida International University

What you'll study

The programme combines core statistical theory with applied biostatistics modules and computing. Core topics typically include probability theory, statistical inference, linear models and regression analysis. Biostatistics-focused coursework commonly covers survival analysis, longitudinal data analysis, categorical data analysis, design and analysis of clinical trials, and statistical methods for epidemiology.

Students also gain practical experience in statistical computing and data management using R and other tools; coursework in Bayesian methods, high‑dimensional data and machine learning is often available. The degree is offered with thesis and non‑thesis (project) pathways; the non‑thesis route usually requires a capstone applied project or practicum that partners students with a research group, hospital, public‑health agency or industry team.

• Core probability and inference
• Regression and linear models
• Survival and longitudinal methods
• Clinical trials and study design
• Categorical data analysis
• Statistical computing and data management (R, reproducible workflows)
• Electives in Bayesian methods, machine learning, or advanced multivariate techniques
• Thesis or applied project/practicum

Entry requirements

Applicants are expected to hold a bachelor’s degree in statistics, mathematics, biostatistics, computer science or a related quantitative discipline. Typical prerequisites include one year of calculus, linear algebra, introductory probability and mathematical statistics, and some programming experience in R, Python or a similar language.

Admission materials generally include transcripts, a statement of purpose, a curriculum vitae or resume, and letters of recommendation. International applicants must demonstrate English proficiency through accepted exams unless exempt. Some applicants with strong quantitative preparation but lacking specific prerequisites may be admitted conditionally and required to complete bridging coursework.

Career prospects

Graduates are prepared for roles that require rigorous statistical thinking and practical data‑analysis skills. Common career destinations include biostatistician or statistical programmer in pharmaceutical and biotech companies, clinical-trials analyst, epidemiologist or data analyst in public‑health agencies, research statistician in medical centres and hospitals, and quantitative analyst roles in consulting firms.

Alumni also move into health‑data science positions that combine statistical modelling with machine learning on electronic health records and real‑world evidence, or continue to doctoral study in statistics or biostatistics for academic and research careers.

Why study at Florida International University

Florida International University is located in a major health‑care and biomedical research hub, providing close links to hospitals, public health agencies and biotech employers in the Miami metropolitan area. Students benefit from interdisciplinary collaboration opportunities with FIU’s public health and medical research units, which facilitate applied practicum placements and faculty‑mentored projects.

FIU’s Department of Statistics emphasises applied training and computing skills alongside theoretical foundations, and offers flexible course delivery options suited to full‑time students and working professionals. Smaller class sizes for graduate courses, active research groups in biostatistics and access to modern computing resources help prepare graduates for immediate impact in clinical and public‑health settings or further doctoral study.