
The Master of Science (M.S.) in Applied Statistics program at the University of Michigan provides students with a strong foundation in statistical theory and methods, preparing them for careers in data analysis and statistical application across various fields. The program is designed to equip students with the skills to tackle complex data challenges, interpret results, and communicate findings effectively.
The curriculum focuses on core statistical concepts, computational methods, and practical applications. Students will engage with a range of statistical topics, developing expertise in data analysis and modeling.
Graduates of the Applied Statistics M.S. program are well-prepared for a variety of roles in data-intensive industries. The program's focus on practical application ensures that students develop skills highly sought after by employers.
Specific GRE requirements are not mentioned, but strong quantitative skills are essential. International students may need to provide English proficiency scores.
Tuition and fees are subject to change. Please refer to the University of Michigan's Office of the Registrar for the most up-to-date information. The figures provided are for the Fall and Winter terms (Full Term).
The program is part of the University of Michigan's Rackham Graduate School, ensuring adherence to rigorous academic standards.
For the 2025-2026 academic year, full-time tuition for non-residents is $30,685 for the Fall and Winter terms combined. Mandatory fees are an additional $241.19 per term.
Applicants are expected to have a strong academic record and a solid background in calculus and linear algebra. Prior coursework in probability, theoretical statistics, and applied statistics is highly recommended.
Applications are submitted online through the Rackham Graduate School's application portal. You will need to upload transcripts, submit a Statement of Purpose and Personal Statement, and provide recommender information.
The application deadline for Fall admission is January 15.
Graduates are prepared for roles such as Data Analyst, Statistician, Data Scientist, Quantitative Analyst, and Business Intelligence Analyst in data-intensive industries.
International students may need to provide official English proficiency exam scores, such as TOEFL or IELTS, as part of their application.