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The department's undergraduate programs all build upon a four-course calculus and differential equations foundation, incorporating computational elements. Statistics majors must complete an additional statistics core curriculum totaling at least 120 credit hours. These students first establish mathematical fundamentals before progressing to statistical theory, advanced data analysis techniques, and specialization in their chosen field. The curriculum aims to cultivate both conceptual understanding and technical proficiency, equipping graduates for diverse career paths in academia, government, actuarial science, and industry. While sharing the same total credit requirement, the Bachelor of Science in Statistics demands more major-specific coursework than the Bachelor of Arts, including broader scientific training.
Graduates will master core probability concepts including random variables, probability distributions, moments, and variable transformations.
Students will develop the ability to select suitable probability models for various phenomena and determine distributions for functions of random variables. They'll comprehend essential theorems like the central limit theorem and law of large numbers, along with estimation theory and hypothesis testing methodologies. Graduates will demonstrate proficiency in establishing mathematical proofs for estimator properties and constructing valid statistical inference procedures using these estimators.