Michigan State University

What you'll study

The programme builds a firm foundation in probability, statistical inference and mathematical statistics, then applies those tools to biological and health sciences. Core coursework typically covers calculus, linear algebra, probability theory, statistical inference, regression and generalized linear models, design of experiments and sampling methods.

Biostatistics‑focused coursework and electives introduce topics such as statistical computing (R and Python), survival analysis, longitudinal data analysis, categorical data methods, clinical trial design, epidemiologic methods, and applied bioinformatics. Students are encouraged to take complementary life‑science courses (for example, introductory biology, genetics or physiology) and applied electives in public health, computational biology or data science.

The curriculum emphasises hands‑on data analysis: labs, data projects, a capstone or practicum in which students analyse real biomedical datasets, and opportunities for undergraduate research with faculty in statistics, life sciences or medicine. Many students complete internships in industry, healthcare institutions or government agencies to gain practical experience.

Entry requirements

Applicants should demonstrate strong quantitative preparation. Typical expectations include high school coursework in calculus and algebra, strong grades in mathematics, and evidence of analytical ability. Preparation in biology or chemistry is helpful for the biostatistics emphasis but not always required.

Admissions consider the full academic record, recommendation letters, and a personal statement that explains interest in statistics and its application to biological or health problems. International applicants must meet Michigan State University’s general English language proficiency requirements.

Career prospects

Graduates are prepared for entry‑level roles that require statistical and data‑analysis skills in life‑science and health sectors. Common job titles include biostatistician (entry level), data analyst, clinical trial analyst, statistical programmer, research assistant and public health analyst. Employers include pharmaceutical and biotechnology companies, hospitals and health systems, government public‑health agencies, contract research organisations, and academic research groups.

Many alumni continue to graduate study in biostatistics, statistics, epidemiology, public health (MPH) or related fields; a bachelor’s in statistics provides strong preparation for competitive master’s and doctoral programmes.

Why study at Michigan State University

Michigan State offers a statistics programme grounded in both theoretical training and applied experience, with faculty who collaborate across biology, medicine and public health. Students benefit from on‑campus research opportunities, partnerships with medical and life‑science units, and access to computing resources and statistical consulting services.

The university supports undergraduate research, internships and experiential learning, helping students build practical portfolios and professional networks. Career services, student organisations in statistics and data science, and a strong regional life‑science industry ecosystem provide pathways from study to employment or further study in biostatistics and related fields.