University of North Florida

What you'll study

The programme combines a firm grounding in probability and mathematical statistics with applied courses in biostatistics, statistical computing and study design. Core modules cover calculus, linear algebra, probability theory, statistical inference, regression and multivariate analysis. Students take applied biostatistics topics such as survival analysis, longitudinal data analysis, clinical trials methods, epidemiologic methods, and analysis of high‑dimensional biological data.

Practical computing and data skills are emphasised: coursework and labs use statistical software commonly used in biostatistics (for example R and industry packages) and cover data management, reproducible research and statistical programming. The curriculum typically includes a capstone or practicum project in which students analyse real biological or clinical datasets, and the option to undertake an independent research project or internship with local healthcare, research or industry partners.

Elective choices allow students to supplement biostatistics training with coursework in public health, biology, bioinformatics, experimental design or advanced statistical modelling, preparing graduates for both applied roles and further study.

Entry requirements

• School qualifications: An accredited high‑school diploma or equivalent with strong preparation in mathematics. Applicants are expected to have completed courses in algebra and pre‑calculus; completion of calculus is strongly recommended.
• Academic profile: A competitive academic record in mathematics and related sciences. Admissions consider overall grade‑point average, the strength of the school curriculum, and relevant coursework.
• Standardised tests and alternatives: The university’s current admissions policy determines whether standardised test scores (such as SAT/ACT) are required or optional; consult the university for the latest guidance.
• Transfer students: Students transferring from community colleges or other universities are welcome; transfer applicants should present completed college coursework in calculus and introductory statistics and meet the university’s transfer admission criteria.
• Additional preparation: Backgrounds in computer science or biology are helpful but not mandatory. Prospective students without calculus should consider completing that requirement before or early in the programme.

Career prospects

Graduates are prepared for roles that apply statistical methods to biological, medical and public‑health questions. Common entry‑level positions include biostatistician assistant, clinical trials data analyst, health data analyst, research data specialist, and statistical programmer. Employers include hospitals, public‑health agencies, pharmaceutical and biotechnology companies, contract research organisations, and academic research groups.

Many graduates also progress to postgraduate study—such as a master’s in biostatistics, public health (MPH), data science or a PhD—particularly if they aim for senior research roles, principal investigator positions or academic careers.

Why study at University of North Florida

• Location: UNF is based in Jacksonville, providing access to a regional healthcare and life‑sciences ecosystem where students can pursue internships and applied projects with hospitals, public‑health agencies and industry partners.
• Applied emphasis: The programme emphasises hands‑on data analysis, reproducible research practices and the use of current statistical software, so graduates leave with practical skills employers seek.
• Small classes and faculty access: Students benefit from relatively small class sizes in upper‑level statistics courses and mentoring from faculty engaged in applied research and collaborations across health and environmental sciences.
• Pathways and support: The university offers advising, career services and connections to local research organisations to support practicum placements, internships and preparation for graduate school or employment in biostatistics and related fields.