This master's program in statistics lets students focus on modeling by computer, applied statistics or advanced theory. It aims to build the analytical, computational and research abilities needed for careers in academia or industry, and for data-heavy work in finance, healthcare, technology and public policy.
Depending on background and study plan, the degree can be finished within one academic year or two. Students collaborate with faculty on theoretical and applied projects that reach into areas from biophysics to public health, and the program stresses collaboration across disciplines. Graduates apply their skills alongside colleagues in economics, data science and the biological sciences.
The program highlights its standing in national graduate rankings published by a news magazine, and it features a faculty member who received a major fellowship. Its website describes the curriculum, research opportunities and faculty, and offers a chance to meet instructors. Applicants weighing a technical master's degree can use these pages to compare coursework, timelines and professional development options before applying.
