Arkansas Tech University

What you'll study

This programme builds a strong foundation in calculus, linear algebra and probability before moving on to applied and theoretical statistics tailored to biological and medical contexts. Core topics include probability theory, statistical inference, regression and multivariate methods, experimental design and nonparametric statistics. Biostatistics-focused modules cover clinical trials methodology, survival analysis, epidemiologic methods, and statistical methods for genomics and public health data.

• Mathematical foundations: calculus sequence, linear algebra, differential equations (as offered or required), and mathematical reasoning.
• Core statistics: introductory and intermediate statistics, probability, mathematical statistics, statistical inference, regression analysis, time series and multivariate analysis.
• Biostatistics and applied methods: design and analysis of clinical trials, survival and event-time analysis, epidemiologic methods, methods for high-dimensional biological data, and reproducible research in health sciences.
• Computing and data skills: statistical programming with R and/or Python, database management, data visualisation, and use of industry software (e.g. SAS) where available.
• Practical experience: capstone project or practicum emphasising real-world data, internship opportunities with healthcare providers, public health departments or research groups, and a senior seminar in applied biostatistics.

Entry requirements

Admission to the programme requires a standard university undergraduate offer from Arkansas Tech University. Applicants should present a high school diploma or equivalent with a solid background in mathematics; completion of precalculus or calculus is strongly recommended. Successful candidates typically show strong performance in mathematics courses and coursework in science is advantageous. Transfer students are evaluated on college transcripts; prior completion of introductory calculus and college-level statistics will facilitate progression. Standardised tests may be optional depending on institutional policy—check Arkansas Tech admissions guidance for current details.

Career prospects

Graduates with a bachelor's in Statistics focused on Biostatistics are prepared for roles that apply quantitative methods to health-related data. Typical entry-level positions include biostatistics or statistical programmer roles in pharmaceutical and biotechnology companies, data analyst positions in hospitals and public health agencies, clinical research coordinator roles with analytical responsibilities, and research-assistant posts in academic labs.

• Clinical trials statistician or statistical programmer
• Biostatistician or data analyst in public health and healthcare systems
• Research analyst supporting epidemiology, genetics or translational research projects
• Data scientist in health technology firms or contract research organisations
• Progression to graduate study (MS/PhD) in biostatistics, statistics, epidemiology or data science for advanced research and leadership roles

Why study at Arkansas Tech University

Arkansas Tech offers a student-centred environment with relatively small class sizes and accessible faculty, which benefits students learning demanding quantitative material. The university provides hands-on computing facilities and coursework that emphasise practical data analysis using modern statistical software. Students can pursue internships and collaborative projects with regional hospitals, public health departments and industry partners, gaining applied experience that enhances employability.

Additionally, the programme is structured to prepare students either for immediate employment in healthcare and research settings or for continued graduate study; faculty mentoring and a capstone practicum help students build a professional portfolio of projects and applied analyses.