Statistical and Mathematical Foundations of Data Science

An advanced undergraduate course in the mathematical and statistical principles for data science. It aims to equip students with a rigorous theoretical foundation that is consolidated through hands-on lab studies. The emphasis is on critical thinking and problem-solving skills that enable students to utilize the theoretical tools in future research or practical work in statistics, actuarial science, machine learning, analytics, applied mathematics, and other areas.