Cornell University's MPS in Data Science and Applied Statistics is a rigorous one-year graduate program designed to equip students with advanced statistical and computational skills necessary for data-driven roles in industry, business, or government. The program combines statistical theory, real-world data analysis projects, computer programming, machine learning, databases, and high performance computing. It is structured with two options—Statistical Analysis and Data Science—depending on the student's focus area. All students complete core coursework, a two-semester capstone project, and gain hands-on experience with modern statistical software and programming languages like Python, R, and SQL. Electives allow for specialization in fields such as finance, risk analysis, or experimental design. The program is technical and best suited for students with strong backgrounds in mathematics, statistics, or a quantitative discipline. Graduates are prepared for careers as data scientists, analysts, and researchers across sectors. 来源： https://gradschool.cornell.edu/academics/fields-of-study/subject/statistics/applied-statistics-mps-as-ithaca/