University of Missouri-Kansas City

What you'll study

The biostatistics pathway builds a core foundation in probability, statistical inference and regression, then moves into applied topics specific to biomedical research. Course work typically covers:

• Probability and Mathematical Statistics — limit theorems, point and interval estimation, hypothesis testing.
• Linear Models and Regression — multiple regression, generalized linear models, model diagnostics.
• Survival Analysis — censoring, Kaplan–Meier methods, Cox proportional hazards models.
• Longitudinal and Correlated Data Analysis — mixed models, generalized estimating equations.
• Clinical Trials and Experimental Design — randomisation, sample size, regulatory considerations.
• Bayesian Methods — Bayesian inference and computation for applied problems.
• Computational Statistics — statistical computing with R and other software, simulation, resampling methods.
• Applied Biostatistics Practicum or Project — applied analysis working with real biomedical data or collaborating with a clinical research group.

Students normally choose between a thesis option, which emphasises original research under faculty supervision, and a non‑thesis option that emphasises additional coursework and a capstone project or practicum. Full‑time students can complete the programme in about one to two years, depending on course load and chosen pathway.

Entry requirements

Applicants are expected to hold a bachelor’s degree from an accredited institution. Competitive applicants typically have an undergraduate background in mathematics, statistics, biostatistics, or a closely related quantitative discipline. Specific expectations include:

• A solid foundation in calculus (including multivariable calculus) and linear algebra.
• Coursework or demonstrable competence in introductory probability and statistics.
• Familiarity with mathematical reasoning; some programming experience (for example in R, Python or SAS) is strongly recommended.
• A record of satisfactory academic performance; departments commonly request official transcripts and letters of recommendation.

Applicants whose preparation does not meet all prerequisites may be admitted provisionally and required to take bridging courses. International applicants must meet the university’s English language requirements. Prospective students should consult the department for details on application materials and any additional programme‑specific requirements.

Career prospects

Graduates with a master’s in biostatistics are prepared for a wide range of roles in the public and private sectors. Typical career destinations include:

• Biostatistician or statistical programmer in pharmaceutical and biotechnology companies.
• Analyst or data scientist in clinical research organisations (CROs) and contract research firms.
• Statistical analyst or epidemiologist in public‑health agencies, hospitals and health departments.
• Research support roles in academic medical centres, where statisticians collaborate on study design and analysis.
• Further graduate study (PhD) in statistics, biostatistics or related fields for students pursuing independent research careers.

Students who complete practicum projects or internships often transition directly into employer roles within the Kansas City healthcare and life‑sciences community or nationally.

Why study at University of Missouri-Kansas City

UMKC offers a biostatistics pathway embedded within a department experienced in both theoretical and applied statistics. The university’s location in Kansas City provides access to a dense network of hospitals, clinical research organisations and public‑health agencies, creating opportunities for internships, practicum collaborations and applied research. Faculty frequently collaborate with the School of Medicine, School of Nursing & Health Studies and other interdisciplinary units, giving students exposure to real biomedical problems and team‑based research.

The department supports hands‑on statistical computing and practical training in industry‑relevant software, and graduate students may have opportunities for teaching or research assistantships that provide professional experience and financial support. Prospective students who seek a balance of rigorous methodological training and applied biomedical experience will find UMKC’s programme well‑suited to careers in healthcare and life sciences research.