University of Missouri-Kansas City

USA
1 Scholarships 100 Programs 3 Degree levels
Bachelor

Bachelor's in Statistics

DegreeBachelor
FieldStatistics.
B

Cost & earnings at University of Missouri-Kansas City What students borrow here, and what they go on to earn

You borrow $18,750 median federal debt
You repay $213/mo over 10 years
Graduates earn $59,637 10 yrs after entry
Debt clears in 0.9 yrs of the salary premium
US Department of Education figures See the full breakdown →

The Bachelor of Science in Statistics with a biostatistics emphasis at the University of Missouri–Kansas City prepares students to apply statistical methods to biological and health-related problems. It suits numerate students who enjoy mathematics, computing and problem-solving and who want to work in health research, clinical trials, public health or continue to graduate study in biostatistics or epidemiology.

What you'll study

The programme combines a solid foundation in mathematical statistics and probability with applied courses in statistical computing and biostatistical methods. Early study focuses on calculus, linear algebra and introductory probability, progressing to intermediate and advanced courses in mathematical statistics, regression analysis and experimental design. Core biostatistics topics typically include survival analysis, longitudinal data analysis, categorical data methods, and epidemiologic principles.

Practical computing and data skills are emphasised throughout. Expect coursework and labs using statistical software and programming languages commonly used in biostatistics such as R and Python, and exposure to data management, reproducible research, and simulation methods. Many programmes include a practicum, capstone project or undergraduate research option that partners students with faculty or external collaborators on real biomedical datasets.

  • Calculus and linear algebra
  • Probability and mathematical statistics
  • Regression and generalized linear models
  • Design of experiments and analysis of variance
  • Statistical computing and data visualisation (R/Python)
  • Survival analysis and longitudinal methods
  • Categorical data analysis and epidemiology
  • Capstone project, practicum or undergraduate research

Entry requirements

Applicants should have a high-school diploma or equivalent with strong performance in mathematics. Typical preparation includes coursework in algebra, pre-calculus or calculus; many successful applicants have taken higher-level maths such as calculus or statistics at secondary level.

UMKC considers a combination of academic records, recommended subject background, and sometimes SAT/ACT scores depending on the applicant's educational system. Transfer applicants are evaluated on college transcripts and course equivalence. Incoming students without sufficient calculus preparation may be required to take placement tests or introductory mathematics prior to enrolling in core statistics courses.

For international applicants, proof of English language proficiency and equivalent academic qualifications are required. Prospective students interested in research or internships are encouraged to highlight relevant coursework, programming experience and extracurricular activities in their application.

Career prospects

Graduates are prepared for roles where statistical thinking and data analysis intersect with biology and health. Common entry-level positions include biostatistician (often under supervision), data analyst or research analyst in pharmaceutical companies, clinical research organisations, hospitals, public health agencies, and biotechnology firms.

Other pathways include roles in clinical trials coordination, health data science, regulatory affairs and health-care consulting. Many graduates continue to postgraduate study (master’s or PhD) in biostatistics, statistics, epidemiology or related fields, which further expands opportunities in academic research and high-level industry positions.

Why study at University of Missouri-Kansas City

UMKC offers an undergraduate statistics programme with access to applied research and collaboration across campus, including ties to health sciences and the School of Medicine. The university’s location in Kansas City provides proximity to hospitals, clinical research organisations and biotech employers, facilitating internships and practicum placements.

Students benefit from faculty mentoring in the Department of Mathematics and Statistics, hands-on training in current statistical software and opportunities for undergraduate research and capstone projects that build professional portfolios. Small to mid-sized classes in upper-level courses help ensure direct interaction with faculty and advisors as you prepare for careers in biostatistics or further graduate study.

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Programme details are indicative and may change — always verify current information with the official university website before applying.