statistics

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.

PROGRAM RESOURCES

Prospective students should see the program website for funding information.

Minimum Graduate School Requirements

Review the Graduate School minimum academic progress and degree requirements, in addition to the program requirements listed below.

Major Requirements

CURRICULAR REQUIREMENTS

Minimum Credit Requirement 30 credits
Minimum Residence Credit Requirement 16 credits
Minimum Graduate Coursework Requirement Half of degree coursework (15 credits out of 30 total credits) must be completed graduate-level coursework; courses with the Graduate Level Coursework attribute are identified and searchable in the university's Course Guide (https://registrar.wisc.edu/course-guide/).
Overall Graduate GPA Requirement 3.00 GPA required.
Other Grade Requirements A grade of B or better must be received in any course used to fulfill the required and elective course requirements.
Assessments and Examinations See Named Options for policy information.
Language Requirements No language requirements.

Required COURSES 

Select a Named Option for courses required.

Named Options

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. 

  1. Demonstrates understanding of statistical theories, methodologies, and applications as tools in scientific inquiries.
  2. Selects and utilizes the most appropriate statistical methodologies and practices.
  3. Synthesizes information pertaining to questions in empirical studies.
  4. Communicates data concepts and analysis results clearly.
  5. Recognizes and applies principles of ethical and professional conduct.

Faculty: 

Cecile Ane, Professor 

Richard Chappell, Professor 

Peter Chien, Professor

Jessi Cisewski-Kehe, Assistant Professor

Nicolas Garcia Trillos, Assistant Professor

Hyunseung Kang, Assistant Professor

Sunduz Keles, Professor 

Bret Larget, Professor

Keith Levin, Assistant Professor

Po-Ling Loh, Associate 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, Professor

Brian Yandell, Professor 

Anru Zhang, Assistant Professor

Chunming Zhang, Professor 

Zhengjun Zhang, Professor 

Jun Zhu (chair), Professor