Tarleton State University

What you'll study

The programme builds a foundation in probability, statistical inference and mathematical modelling, then moves into applied biostatistics topics used in life‑science research. You will study a mix of theoretical and practical modules, develop programming and data‑analysis skills, and complete a capstone project or research practicum.

• Core mathematics and statistics: calculus sequence, linear algebra, probability theory, mathematical statistics.
• Statistical methods and computing: applied regression, experimental design, categorical data analysis, survival analysis, multivariate methods, time series; training in statistical software such as R and Python and exposure to SAS or similar packages.
• Biostatistics and applied life‑science modules: introductory and advanced biostatistics, epidemiologic methods, statistical genetics, clinical trials design and analysis, longitudinal data analysis.
• Supporting sciences: introductory biology, human physiology or public‑health courses to give domain context for applied projects; elective options may include microbiology, pharmacology or environmental health depending on interests.
• Research and practicum: supervised research with faculty, an applied practicum with a healthcare or public‑health partner, or a senior capstone project integrating statistical analysis and scientific interpretation.
• Professional skills: scientific communication, data visualisation, ethics in research, and preparation for collaborative work in interdisciplinary teams.

Entry requirements

Applicants are expected to hold a recognised secondary school qualification. Successful candidates typically have a strong background in mathematics, including pre‑calculus or calculus, and demonstrated aptitude in quantitative subjects. Typical application materials include an official transcript, personal statement, and any required institutional forms.

Tarleton considers a range of evidence for readiness, such as college preparatory coursework in mathematics and laboratory science. Transfer applicants must provide college transcripts and course descriptions for transfer credit evaluation. International applicants need to meet the university's English language proficiency requirements.

Career prospects

Graduates with a biostatistics focus are prepared for roles that require statistical expertise in the life sciences and health sectors. Common career paths include:

• Biostatistician or statistical analyst in pharmaceutical companies, contract research organisations (CROs) and biotech firms.
• Clinical data analyst supporting clinical trials, regulatory submissions and health outcomes research.
• Public‑health analyst or epidemiologist roles in government agencies and NGOs, analysing surveillance and intervention data.
• Research assistant or data scientist positions in academic and medical research centres, supporting study design and data interpretation.
• Further study: many graduates progress to specialised master’s programmes in biostatistics, public health (MPH), epidemiology or doctoral research, or prepare for professional certification and actuarial exams if pursuing that route.

Why study at Tarleton State University

Tarleton State offers a student‑centred learning environment with small to medium class sizes and accessible faculty in the Department of Mathematics and Statistics. The university’s membership in the Texas A&M University System provides links to broader research networks, while local partnerships with regional hospitals, public‑health agencies and industry create opportunities for internships and applied projects.

Students benefit from hands‑on training in statistical computing and real data analysis, opportunities for undergraduate research supervised by faculty, and transferable skills in communication and teamwork. The programme is designed to balance theoretical rigour with practical experience, preparing graduates to contribute immediately in applied biostatistics roles or to continue into graduate study.