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The need for statisticians has never been greater. Statistical analysis and data science play vital roles across applied sciences, commercial enterprises, healthcare, and even common tools and daily activities. As vast quantities of data are generated globally every moment, statisticians at every career stage are essential to interpret this information, measure uncertainties, create innovative techniques, and evaluate their effectiveness.
The University of Michigan consistently ranks among the nation's top ten statistics programs, holding the #4 position in the most recent NRC rankings. Our programs offer rigorous foundational training for both Master's and doctoral candidates, alongside instruction in state-of-the-art contemporary methodologies.
Doctoral candidates pursue diverse thesis topics spanning probability theory, statistical frameworks, computational approaches, machine learning, and cross-disciplinary applications in biosciences, engineering, and social sciences. From their first year, all Ph.D. students engage in research, with most publishing multiple peer-reviewed articles before completing their degrees. Our graduates frequently secure faculty positions at comparable institutions or pursue careers in research laboratories, government agencies, and private sector organizations.
Applicants complete a bachelor’s degree from a U.S. college or university accredited by a regional accrediting association; or complete an international degree that is equivalent to a U.S. bachelor’s degree from a college or university recognized and approved by the Ministry of Education or Commission responsible for higher education in the country where the degree is earned.
Rackham English Proficiency Requirements:
IBT TOEFL - 84;
Paper/Pencil TOEFL and TWE - 560;
Revised Paper Delivered Test - An overall score is not provided for this test. Minimum section scores: Reading = 23; Listening = 23; Writing = 21;
MELAB - 80;
IELTS - 6.5;
ECPE - certificate of proficiency