MS Statistics and Data Science

Course Overview The Master of Science in Statistics and Data Science equips students with a rigorous foundation in statistical theory and advanced computational methods to analyze complex data. This program is ideal for graduates from quantitative fields like mathematics, computer science, and statistics, as well as those from other disciplines seeking to build deep expertise. Students complete a 36-credit curriculum culminating in a thesis or a significant research project. Key Program Highlights Comprehensive 36-credit hour curriculum blending theory and practical application 21 credit hours of core courses in statistical methods and numerical analysis Choice between a thesis defense or a capstone research project Specialized Data Science track for focused career preparation Designed for both quantitative majors and career-changers seeking expertise