Florida International University

What you'll study

The programme combines probability and theoretical statistics with applied methods used in biomedical research. Core topics include statistical inference, linear and generalized linear models, and computational statistics. Students then focus on biostatistics topics such as survival analysis, longitudinal data analysis, design and analysis of clinical trials, categorical data analysis and methods for correlated and high-dimensional biological data.

Training in statistical computing is emphasised, with coursework and practice in R and other software commonly used in the field (for example SAS or Python-based workflows). The curriculum typically includes a practicum or consulting component where students work on real-world datasets from healthcare or public-health partners, and an applied capstone project or a thesis option for those interested in research.

• Core methodological modules: probability theory, mathematical statistics, regression and multivariate analysis, statistical computing.
• Biostatistics-focused modules: survival analysis, longitudinal and repeated measures, clinical trials design and analysis, categorical and discrete data methods.
• Applied and elective options: causal inference, bioinformatics/statistical genomics, spatial statistics for public health, advanced machine learning for biomedical data.
• Capstone/practicum: applied consulting placement or thesis research with faculty or community health partners.

Entry requirements

Applicants are normally expected to hold a bachelor's degree from an accredited institution with substantial coursework in calculus, linear algebra, probability and mathematical statistics. Program admissions favour candidates with prior coursework or experience in programming and data analysis.

Typical application materials include official transcripts, a statement of purpose explaining quantitative background and biostatistics interests, letters of recommendation, and a CV or résumé. International applicants must demonstrate English proficiency according to the university's requirements. Some applicants may be asked to provide evidence of quantitative preparation through prerequisite courses or to take foundation modules if admitted without a strong statistics background.

Career prospects

Graduates enter roles across clinical research, public health, pharmaceutical and biotechnology companies, medical device firms, contract research organisations (CROs), hospitals and government public-health agencies. Common job titles include biostatistician, clinical data analyst, statistical programmer, research scientist and outcomes research analyst. The degree also prepares students for PhD programmes in biostatistics, statistics or epidemiology when they wish to pursue academic or advanced research careers.

Why study at Florida International University

Florida International University offers access to a diverse health ecosystem in Miami, providing opportunities for applied collaboration with medical centres, public-health agencies and biomedical researchers. The Department of Mathematics and Statistics works closely with the university's medical and public-health schools, giving students exposure to interdisciplinary projects, clinical trial design and community health studies.

Students benefit from practicum placements and internship connections with local hospitals and research organisations, hands-on training in modern statistical computing, and faculty who conduct applied biostatistics research. These features help bridge classroom training with the practical skills employers seek in the biostatistics workforce.