The M.S. degree program in statistics trains the candidate to become a practicing statistician with a number of options including:
- Statistics: Applied Statistics, M.S.
- Statistics: Biostatistics, M.S.
- Statistics: Statistics and Data Science, M.S.
- Statistics: Statistics, M.S.
In addition, the department is closely involved with the School of Medicine and Public Health Department of Biostatistics and Medical Informatics and a joint MS Data Science offered by both the Department of Statistics and Department of Computer Sciences.
The Statistics Department provides extensive computing facilities, both hardware and software, to support instruction and research. Several computers and advanced graphic workstations are available for use in advanced courses enabling students to pursue the latest research directions in statistical computing and graphics. Common statistical packages and libraries are available on a variety of machines.
The department may be consulted for specific career information. Please see each program option for specific information regarding application materials, deadlines, and program requirements.
Students apply to the Master of Science in Statistics through one of the named options:
Graduate School Resources
Resources to help you afford graduate study might include assistantships, fellowships, traineeships, and financial aid. Further funding information is available from the Graduate School. Be sure to check with your program for individual policies and restrictions related to funding.
Each option within Statistics has different funding policies and opportunities for students. Please see each option for details.
Minimum Graduate School Requirements
Review the Graduate School minimum academic progress and degree requirements, in addition to the program requirements listed below.
|Minimum Credit Requirement||30 credits|
|Minimum Residence Credit Requirement||16 credits|
|Minimum Graduate Coursework Requirement||15 credits (50% of 30 credits) must be graduate-level coursework. Details can be found in the Graduate School’s policy: https://policy.wisc.edu/library/UW-1244|
|Overall Graduate GPA Requirement||3.00 GPA required. |
This program follows the Graduate School's policy: https://policy.wisc.edu/library/UW-1203.
|Other Grade Requirements||See Named Options for grade requirements.|
|Assessments and Examinations||See Named Options for policy information.|
|Language Requirements||No language requirements.|
Select a Named Option for courses required.
A named option is a formally documented sub-major within an academic major program. Named options appear on the transcript with degree conferral. Students pursuing the Master of Science in Statistics must select one of the following named options:
Students should refer to one of the named options for policy information:
Graduate School Resources
Take advantage of the Graduate School's professional development resources to build skills, thrive academically, and launch your career.
- Demonstrates understanding of statistical theories, methodologies, and applications as tools in scientific inquiries.
- Selects and utilizes the most appropriate statistical methodologies and practices.
- Synthesizes information pertaining to questions in empirical studies.
- Communicates data concepts and analysis results clearly.
- Recognizes and applies principles of ethical and professional conduct.
Cecile Ane, Professor
Richard Chappell, Professor
Peter Chien, Professor
Jessi Cisewski-Kehe, Assistant Professor
Deshpande, Sameer, Assistant Professor
Nicolas Garcia Trillos, Assistant Professor
Hyunseung Kang, Assistant Professor
Sunduz Keles, Professor
Bret Larget, Professor
Keith Levin, Assistant Professor
Wei-Yin Loh, Professor
Michael Newton, Professor
Vivak Patel, Assistant Professor
Sebastian Raschka, Assistant Professor
Garvesh Raskutti, Associate Professor
Karl Rohe, Associate Professor
Kris Sankaran, Assistant Professor
Jun Shao, Professor
Miaoyan Wang, Assistant Professor
Yahzen Wang (chair), Professor
Brian Yandell, Professor
Chunming Zhang, Professor
Zhengjun Zhang, Professor
Jun Zhu, Professor