Florida State University

What you'll study

The undergraduate statistics curriculum provides a strong foundation in mathematical statistics, statistical modelling and computing, with elective coursework and applied projects that emphasise biological and health-related applications. Core coursework typically covers calculus and linear algebra prerequisites, probability theory, statistical inference, regression and analysis of variance, experimental design, and a sequence in statistical computing and data management (commonly using R, Python and industry software).

Biostatistics-focused study options and electives often include introductory and intermediate biostatistics, survival analysis, longitudinal data analysis, categorical data methods, epidemiologic methods, and statistical methods for clinical trials. Students are encouraged to take supporting courses in biology, genetics, anatomy and physiology, public health, or chemistry to strengthen subject-matter knowledge for applied work.

The programme usually culminates in a capstone experience such as an applied statistics practicum, a senior research project or an internship where students work with faculty, research groups or external health organisations to analyse real datasets and communicate results to non‑technical audiences.

• Mathematical prerequisites: single-variable and multivariable calculus, linear algebra
• Core statistics: probability, mathematical statistics, regression, experimental design
• Computing and data skills: statistical programming, data wrangling, reproducible analysis
• Biostatistics electives: survival analysis, longitudinal methods, clinical trials, epidemiology
• Capstone/applied experience: practicum, internship or senior research project

Entry requirements

Admission to Florida State University follows the university's standard undergraduate admissions process and is competitive. Successful applicants to a statistics major typically present a strong mathematics background in high school (including calculus where available) and good grades in quantitative courses. Coursework in high school statistics, biology or chemistry is advantageous for students planning a biostatistics focus.

Applicants should demonstrate readiness for university-level calculus and quantitative reasoning. International applicants must meet the university's English language proficiency expectations. Specific departmental or college-level prerequisites and recommended preparation can be confirmed with FSU admissions or the Department of Statistics advising office.

Career prospects

Graduates with a statistics degree and biostatistics emphasis are well prepared for roles that combine statistical methodology with life-sciences knowledge. Typical entry-level positions include statistical/data analyst roles in pharmaceutical and biotechnology companies, clinical research organisations, hospitals and health departments, and roles supporting public health surveillance and epidemiologic studies.

Other career paths include data science and analytics roles across healthcare technology firms, research support positions in university and government labs, and regulatory or outcomes research in insurance and policy agencies. Many students also pursue postgraduate study—master's or doctoral programmes in biostatistics, statistics, epidemiology, public health (MPH) or related quantitative fields—to move into advanced statistical scientist roles or independent research careers.

Why study at Florida State University

Florida State University offers a statistics programme situated within a major public research university, giving undergraduates access to active faculty research, computing resources and opportunities for interdisciplinary collaboration. FSU's location and institutional links provide chances for internships and applied projects with medical, public health and research organisations in the region.

Students benefit from faculty mentorship, undergraduate research opportunities and campus career services that help translate statistical training into professional placements or graduate-school preparation. The programme's emphasis on practical computing and applied projects ensures graduates develop the technical and communication skills employers and research teams seek in biostatistics roles.