University of North Carolina at Chapel Hill

What you'll study

The degree builds a strong core in calculus, linear algebra, probability and mathematical statistics, then moves into applied and computational topics. Core modules typically include introductory and intermediate statistical theory, regression and ANOVA, statistical computing (R and Python), and experimental design. Biostatistics‑oriented options and electives cover subjects such as survival analysis, longitudinal and repeated‑measures methods, categorical data analysis, clinical trials methods, Bayesian statistics, and high‑dimensional data techniques.

• Foundation courses: calculus, linear algebra, introductory probability and statistics.
• Statistical theory and methods: mathematical statistics, likelihood theory, regression and model building, generalized linear models.
• Computing and data science: programming for data analysis, statistical computing, data visualisation, reproducible research.
• Biostatistics electives: survival analysis, longitudinal data analysis, categorical data, design and analysis of clinical trials, epidemiologic methods.
• Applied experience: capstone project or honours thesis, internships or practicum placements with medical centres, public‑health agencies or industry partners.

Entry requirements

Applicants are expected to have a strong background in mathematics. Typical preparation includes A‑level mathematics (or equivalent), with further maths or calculus recommended where available. Successful candidates usually demonstrate proficiency in algebra, calculus and logical reasoning, and often have some experience of programming or data analysis.

Standard conditions include a competitive secondary school record; universities also consider personal statements, references and evidence of interest in quantitative or life‑science subjects. Prior coursework in biology, chemistry or economics can be advantageous for students aiming to pursue biostatistics electives. International applicants should meet English language requirements set by the university.

Career prospects

Graduates who specialise in biostatistics move into roles that apply statistical methods to health and biological data. Common career paths include:

• Biostatistician or statistician in pharmaceutical and biotechnology companies, designing and analysing clinical trials and observational studies.
• Data analyst or quantitative researcher in public‑health agencies, hospitals and healthcare providers.
• Statistics or methods analyst in academic research groups, medical centres and research institutes.
• Consultant roles in contract research organisations (CROs), government health departments and non‑profits.
• Further study: many graduates progress to specialised master’s or doctoral programmes in biostatistics, statistics, epidemiology or data science.

Why study at University of North Carolina at Chapel Hill

UNC Chapel Hill offers a strong environment for students interested in biostatistics because of close links between its statistics faculty and world‑class public‑health and biomedical research units. Undergraduates can take advantage of courses and research opportunities through the Gillings School of Global Public Health and collaborate with institutes such as cancer and population‑health centres.

The university emphasises hands‑on applied training: students have access to research projects, internships with healthcare providers and industry partners in the region, and courses that integrate statistical computing and reproducible research practices. Small‑class instruction in advanced modules, dedicated undergraduate advising and opportunities to complete a capstone or honours thesis help prepare students for careers in industry, government and academia.