Idaho State University

What you'll study

The programme provides a strong foundation in calculus, linear algebra and probability before moving into core statistical theory and applied methods. You study courses in mathematical statistics, statistical inference, regression analysis, design of experiments and generalized linear models, together with computing-focused modules that teach R, SAS and reproducible data workflows.

The biostatistics emphasis adds subject matter relevant to health and biomedical research, such as introductory epidemiology, survival analysis, longitudinal data analysis, clinical trials methodology and statistical methods for genomics or laboratory studies. Practical components typically include a statistical consulting or practicum placement, a computing lab, and a capstone or senior research project that applies methods to real-world biomedical or public health data.

• Core mathematics: calculus sequence, linear algebra
• Core statistics: probability theory, mathematical statistics, statistical inference
• Applied modules: regression, experimental design, categorical data analysis, multivariate methods
• Biostatistics modules: epidemiology, survival analysis, clinical trials, longitudinal methods
• Computing and practice: statistical programming (R/SAS), data management, reproducible research, practicum or internship
• Capstone: independent project or applied team project in collaboration with health or research partners

Entry requirements

Applicants should hold a secondary school diploma or equivalent. Successful candidates typically have a strong background in mathematics, including algebra and pre‑calculus; completion of calculus before or during the first year is recommended. Admissions consider overall academic record and preparation for quantitative coursework.

Applicants transferring from other institutions must submit transcripts for review and may receive transfer credit for compatible mathematics and statistics courses. International applicants are required to demonstrate English language proficiency through recognised tests or prior instruction in English; specific score requirements are set by the university and should be checked on the admissions pages.

Because the programme builds sequentially in mathematics and statistics, students are encouraged to consult an academic advisor during enrolment and to complete introductory calculus early in their studies.

Career prospects

Graduates with a biostatistics emphasis are prepared for roles that require statistical expertise in health and life sciences. Common job titles include biostatistician, statistical programmer, data analyst, clinical trials analyst, and public health analyst. Employers include hospitals and health systems, pharmaceutical and biotechnology companies, contract research organisations (CROs), government health agencies, and academic research groups.

The degree also provides strong preparation for graduate study in biostatistics, statistics, epidemiology, public health or data science. Many students pursue a master’s or doctoral degree to move into senior research, methodological development, or academic careers.

Why study at Idaho State University

Idaho State University offers a setting where students can combine strong statistical training with access to health sciences and biomedical research across the university. ISU’s campuses include health‑focused programmes and partnerships that create applied learning and internship opportunities in clinical and public health settings across Idaho.

Students benefit from relatively small class sizes in upper‑division courses, hands‑on computing facilities, and opportunities for undergraduate research and collaboration with faculty working on health‑related projects. The department emphasises practical experience—through practicum placements, consulting activities and a capstone project—so graduates leave with applied skills sought by employers and graduate programmes.