COURSE CURRICULUM

The Bachelor of Science in Statistics at Wright State University is a mathematically rigorous program designed to develop strong problem-solving, analytical, and computational skills for working with data, uncertainty, and real-world decision-making. The program is grounded in the theory of probability and emphasizes both the theoretical foundations of statistical reasoning and its practical applications across science, engineering, business, and social sciences. Students are trained to understand what constitutes mathematical thinking, including the ability to construct and evaluate rigorous arguments, communicate mathematical and statistical ideas clearly, and apply statistical methods to complex problems involving risk and uncertainty. The curriculum ensures students gain proficiency in modern tools and software for data analysis, enabling them to interpret large datasets and support evidence-based decision-making in professional and research environments. Core coursework includes calculus, linear algebra, statistical inference, and advanced statistical methods, forming a strong foundation for both theoretical understanding and applied practice. Students can choose between a General Statistics concentration or an Actuarial Science concentration, depending on their career goals. The Actuarial Science track includes additional preparation in financial mathematics, economics, accounting, and risk-related modeling, preparing students for actuarial certification exams and careers in insurance and finance. The program also includes computing requirements, ensuring students are capable of programming and using statistical software for data analysis and modeling. Graduates are well prepared for employment in corporations, government agencies, healthcare organizations, research institutions, and any field that relies on data-driven decision-making. Career roles include statistician, data analyst, actuarial analyst, risk modeler, and research scientist. The degree also provides a strong foundation for graduate study in statistics, data science, economics, or other quantitative disciplines where advanced statistical methods are essential. Overall, the program equips students with both deep mathematical understanding and practical analytical skills, enabling them to solve complex problems, interpret uncertainty, and contribute effectively in an increasingly data-driven world where statistical literacy is highly valued across industries.