Northern Kentucky University

What you'll study

The programme builds a core foundation in calculus, probability and statistical theory, and then applies those foundations to problems in biology, medicine and public health. Early coursework typically covers single and multivariable calculus, linear algebra, introductory probability, and programming for data analysis.

• Foundations: calculus sequence, linear algebra, introductory probability and mathematical statistics.
• Core statistics: regression and model building, experimental design, analysis of variance, statistical inference and multivariate analysis.
• Computing and data tools: statistical computing and data visualisation (commonly using R and/or Python), database fundamentals, and applied data analysis projects.
• Biostatistics specialism: introductory and advanced biostatistics, epidemiologic methods, survival analysis, longitudinal data analysis and design/analysis of clinical trials.
• Complementary life-science courses: biology, genetics or public health electives to provide subject-matter context for biostatistical methods.
• Capstone and research: an applied capstone project or practicum that typically partners students with faculty or external organisations for real-world data analysis; opportunities for undergraduate research are available.

Entry requirements

Applicants need a high school diploma or equivalent with a strong background in mathematics. Typical preparation includes college-preparatory mathematics through calculus, and familiarity with algebra and statistics is highly recommended. Admissions consider the applicant's overall academic record, performance in quantitative subjects, and preparation in science if applying to the biostatistics emphasis.

Prospective transfer students should provide college transcripts showing calculus and introductory statistics coursework. International applicants must meet the university's standard requirements for language proficiency and academic equivalence.

Career prospects

Graduates are prepared for quantitative roles in healthcare, pharmaceuticals, public health agencies, clinical research organisations, and biotechnology companies. Common early-career job titles include data analyst, biostatistics assistant or clinical trial analyst. The degree also provides a strong foundation for graduate study in biostatistics, statistics, epidemiology, public health or data science, which many employers expect for senior biostatistician roles.

Other career pathways include working in regulatory affairs, health economics, medical device companies, or research institutions. The combination of statistical training and life-science awareness makes graduates attractive for roles that require translating medical questions into statistical studies and communicating results to multidisciplinary teams.

Why study at Northern Kentucky University

Northern Kentucky University offers a teaching-focused environment with relatively small class sizes, allowing close interaction with faculty who have expertise in applied statistics and collaborations with regional health and industry partners. Students benefit from access to computing labs and applied coursework that emphasises real datasets and reproducible analysis workflows.

The university's location near the Cincinnati metropolitan area provides proximity to hospitals, research centres and pharmaceutical employers, which supports internship and practicum opportunities. NKU also encourages undergraduate research and interdisciplinary study, enabling students to combine statistical training with biology, public health or data science electives to tailor their career preparation.