The Department of Statistics at the University of Wisconsin-Madison has four different graduate programs, each with its own specific admission process. Applicants are welcome to apply to multiple options. Please review the information below and the specific page for each program to learn more about what option will be suit your needs.
PHD IN STATISTICS
The PhD program provides excellent training in the modern theory, methods and applications of statistics and prepares students to become independent researchers. Graduates are prepared for positions in academia, business, or government. Recent graduates have taken positions at leading universities such as UC-Berkeley, Penn, and Yale and at top companies such as Google, Facebook, and Eli Lilly. The median time to degree is five years.
The PhD program also has an option in biostatistics with slightly different course requirements, but students can freely switch between options after enrollment. The admissions process pools together all applicants to the PhD programs regardless of option, so there is no need to apply to both programs.
The department strives to support students in the PhD program as teaching, research, or project assistants.
MS in Statistics
The MS program provides excellent training in the modern theory, methods and applications of statistics with emphasis on statistical consulting with individuals from other disciplines. Graduates are prepared for positions in university teaching, business, or government or for continuing education in a PhD program. The median time to degree is two years.
The department strives to support students in the MS program as teaching assistants.
MS in Statistics: Data Science Option (MSDS)
Data science is the study of extracting knowledge from data. Our MSDS program combines a background in statistical theory, methods and practice related to data science with communication skills to train a new generation of leaders who will use data effectively for planning and decision making.
The Data Science option is a professional MS degree that focuses on advanced coursework, including professional development and practicum courses, to prepare students for careers in data science. The median time to degree is two years.
The MS in Biometry trains students in the application of statistical methods for the biological, physical, and social sciences. Statistics faculty in Biometry have joint appointments in another department.
Each student in the Program will have two co-advisors: a member of the Statistics Biometry faculty and faculty member from a biological department. The program is aimed at students enrolled concurrently in a PhD program in a biological science. Students working simultaneously toward two degrees often require more time to complete requirements for both degrees
with one year past the regular time to completing a PhD typical.