Florida International University

What you'll study

The programme builds a foundation in calculus, linear algebra and probability before moving into core statistical theory and applied methods tailored to biological and medical data. Early coursework typically includes multivariable calculus, differential equations, linear algebra and an introduction to programming for data analysis. Core statistics modules cover probability theory, mathematical statistics, point and interval estimation, hypothesis testing and regression analysis.

Biostatistics-specific modules focus on statistical methods for the life and health sciences: generalized linear models, survival analysis, longitudinal data analysis, categorical data analysis, design of experiments and clinical trials methodology. Students also study statistical computing and software (commonly R and Python, with exposure to SAS), data management, and reproducible research practices.

The degree normally includes a capstone or practicum requirement in which students complete a semester-long applied project or internship with a local health agency, hospital, research laboratory or industry partner. Elective options may include statistical genetics, bioinformatics, causal inference, epidemiology, survey methods and machine learning for biomedical applications.

Typical structure

• Core mathematics and calculus sequence
• Foundational statistics and probability courses
• Applied biostatistics and subject-matter electives
• Statistical computing and data science modules
• Capstone project or internship for applied experience

Entry requirements

Applicants should have a high-school diploma (or equivalent) with solid preparation in mathematics. Typical preparation includes algebra, geometry, precalculus and preferably calculus; courses demonstrating quantitative reasoning and science preparation are advantageous. Universities commonly expect a competitive overall academic record and strong grades in mathematics.

As with many US institutions, FIU evaluates applications holistically; documented mathematical ability, relevant extracurriculars (math club, research, coding projects) and letters of recommendation strengthen an application. Applicants whose first language is not English must demonstrate proficiency through recognised tests or equivalent pathways accepted by the university. Transfer students should show prior college-level coursework in calculus and an introductory statistics course for direct admission to upper-division studies.

Career prospects

Graduates with a BSc in Statistics (Biostatistics) are prepared for roles that apply quantitative methods to health and biological problems. Common entry-level job titles include biostatistician assistant, data analyst, clinical data coordinator, statistical programmer and research assistant in academic, government or industry settings.

Employers include hospitals and health systems, public health departments, contract research organisations (CROs), pharmaceutical and biotechnology companies, medical device firms and academic research centres. Graduates also move into related fields such as health informatics, epidemiology or data science and frequently pursue graduate study (MS or PhD) in biostatistics, statistics, epidemiology or related disciplines to advance into senior analytic and research roles.

Why study at Florida International University

Florida International University offers the advantages of a large public research institution in Miami, providing access to diverse patient populations and a broad public-health ecosystem. Students benefit from faculty engaged in applied biostatistics and collaborative research with the university's public health and medical schools, which supports practicum placements and interdisciplinary projects.

FIU emphasises hands-on learning: undergraduates can join research labs, take part in community health studies, and complete internships with local hospitals, health agencies and industry partners. The university's computing resources, student organisations and career services help develop practical programming and data-analytical skills valued by employers in the health sciences.

Finally, FIU's location and multicultural campus offer exposure to international and community health challenges, which is particularly valuable for students aiming to work in global health, epidemiology or translational medical research.