This is a named option within the Statistics MS. Find information about the traditional Statistics MS program requirements and policies here.


Please consult the table below for key information about this degree program’s admissions requirements. The program may have more detailed admissions requirements, which can be found below the table or on the program’s website.

Graduate admissions is a two-step process between academic programs and the Graduate School. Applicants must meet the minimum requirements of the Graduate School as well as the program(s). Once you have researched the graduate program(s) you are interested in, apply online.

Fall Deadline January 2
Spring Deadline The program does not admit in the spring.
Summer Deadline The program does not admit in the summer.
GRE (Graduate Record Examinations) Not Required.
English Proficiency Test Every applicant whose native language is not English, or whose undergraduate instruction was not exclusively in English, must provide an English proficiency test score earned within two years of the anticipated term of enrollment. Refer to the Graduate School: Minimum Requirements for Admission policy:
Other Test(s) (e.g., GMAT, MCAT) n/a
Letters of Recommendation Required 3

Applicants holding a bachelor's degree with a natural science, social science, or engineering major and strong mathematical background are encouraged to apply for admission to the graduate program in statistics. Applicants are advised to undertake graduate work in statistics only if their undergraduate grades in mathematics were uniformly high. 


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.

Minimum Graduate School Requirements

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

Named Option Requirements

Mode of Instruction

Face to Face Evening/Weekend Online Hybrid Accelerated
Yes No No No No

Mode of Instruction Definitions

Accelerated: Accelerated programs are offered at a fast pace that condenses the time to completion. Students typically take enough credits aimed at completing the program in a year or two.

Evening/Weekend: ​Courses meet on the UW–Madison campus only in evenings and/or on weekends to accommodate typical business schedules.  Students have the advantages of face-to-face courses with the flexibility to keep work and other life commitments.

Face-to-Face: Courses typically meet during weekdays on the UW-Madison Campus.

Hybrid: These programs combine face-to-face and online learning formats.  Contact the program for more specific information.

Online: These programs are offered 100% online.  Some programs may require an on-campus orientation or residency experience, but the courses will be facilitated in an online format.

Curricular Requirements

Minimum Credit Requirement 30 credits
Minimum Residence Credit Requirement 16 credits
Minimum Graduate Coursework Requirement 15 credits must be graduate-level coursework. Refer to the Graduate School: Minimum Graduate Coursework (50%) Requirement policy:
Overall Graduate GPA Requirement 3.00 GPA required.
Refer to the Graduate School: Grade Point Average (GPA) Requirement policy:
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 Students must pass a competency test containing both a written and an oral component, demonstrating that they have the potential to be a practicing statistician.
Language Requirements No language requirements.

Required Courses

STAT 609 Mathematical Statistics I3
or STAT/​MATH  709 Mathematical Statistics
STAT 610 Introduction to Statistical Inference4
or STAT/​MATH  710 Mathematical Statistics
STAT 849 Theory and Application of Regression and Analysis of Variance I3
STAT 850 Theory and Application of Regression and Analysis of Variance II3
STAT 998 Statistical Consulting3
Select 6 or more elective credits of STAT courses numbered 600 or higher. 16
The following will also be allowed to count toward the 30-credit minimum for the master's degree (with permission of the Director of Graduate Studies)
Up to 6 credits from STAT Courses Numbered:0-6
R for Statistics I
R for Statistics II
R for Statistics III
Introduction to Time Series
Introductory Nonparametric Statistics
An Introduction to Sample Survey Theory and Methods
Applied Categorical Data Analysis
Data Science with R
Classification and Regression Trees
Introduction to Machine Learning and Statistical Pattern Classification
Introduction to Deep Learning and Generative Models
Applied Multivariate Analysis
Financial Statistics
Introduction to Computational Statistics
Introduction to Combinatorics
Special Topics in Statistics
Linear Optimization
Statistical Methods for Spatial Data
Courses that cover the same or similar topic at the undergraduate- and graduate-level may both be used towards the MS requirements. If both courses are to be used, the undergraduate level course must be completed first for both courses to be counted. Otherwise, only the graduate level course will be counted. Please note that this policy does not preclude students from taking just the undergraduate or just the graduate version of a topic. These combinations would include STAT 349 and STAT 701; STAT 351 and STAT 809; STAT 456 and STAT 760; STAT 443 and STAT 761; STAT 451 and STAT 615; and STAT/​COMP SCI  471 and STAT 771. This will also apply to special topics courses that have similar topics between the undergraduate and graduate level.
Up to 6 credits of graduate courses outside of STAT in consultation with advisor.0-6
Up to 6 credits of STAT 699 in consultation with advisor.0-6
Total Credits30

 Courses that do not satisfy this requirement are: STAT 601 Statistical Methods I,  STAT 602 Statistical Methods IISTAT 609 Mathematical Statistics ISTAT 610 Introduction to Statistical InferenceSTAT 628 Data Science PracticumSTAT 678 Introduction to Statistical Consulting, STAT 699 Directed StudySTAT/​MATH  709 Mathematical StatisticsSTAT/​MATH  710 Mathematical StatisticsSTAT 849 Theory and Application of Regression and Analysis of Variance ISTAT 850 Theory and Application of Regression and Analysis of Variance IISTAT 998 Statistical Consulting

Graduate School Policies

The Graduate School’s Academic Policies and Procedures provide essential information regarding general university policies. Program authority to set degree policies beyond the minimum required by the Graduate School lies with the degree program faculty. Policies set by the academic degree program can be found below.

Named Option-Specific Policies

Prior Coursework

Graduate Credits Earned at Other Institutions

With program approval, students are allowed to transfer no more than 9 credits of graduate coursework from other institutions toward the graduate degree credit and graduate coursework (50%) requirements. Coursework earned ten or more years prior to admission to a master’s degree is not allowed to satisfy requirements.

Undergraduate Credits Earned at Other Institutions or UW-Madison

With program approval, up to 6 Statistics credits from a UW–Madison undergraduate degree numbered 600 or above are allowed to transfer toward minimum graduate degree credits. Coursework earned ten or more years prior to admission to a master’s degree is not allowed to satisfy requirements.

Credits Earned as a Professional Student at UW-Madison (Law, Medicine, Pharmacy, and Veterinary careers)

Refer to the Graduate School: Transfer Credits for Prior Coursework policy.

Credits Earned as a University Special Student at UW–Madison

With program approval, up to 14 Statistics credits completed at UW–Madison while a University Special student numbered 300 or above are allowed to transfer toward the minimum graduate degree credit requirement. Of these credits, those numbered 700 or above or taken to meet the requirements of a capstone certificate and has the "Grad 50%" attribute may also transfer for the minimum graduate coursework (50%) requirement. Coursework earned ten or more years prior to admission to a master’s degree is not allowed to satisfy requirements.


Three consecutive reviews in which a student fails to meet the minimum criteria for satisfactory progress will result in the student being dropped from the program. Contact the program for more information.

Advisor / Committee

Students are required to meet with their advisor near the beginning of each semester to discuss course selection and progress.

Credits Per Term Allowed

15 credits

Time Limits

The competency test must be passed within six semesters after entering the department.

Grievances and Appeals

These resources may be helpful in addressing your concerns:

Students should contact the department chair or program director with questions about grievances. They may also contact the L&S Academic Divisional Associate Deans, the L&S Associate Dean for Teaching and Learning Administration, or the L&S Director of Human Resources.


Students pursuing the general statistics and biostatistics options are considered for department financial support and may seek a dual degree if desired.

Professional Development

Graduate School Resources

Take advantage of the Graduate School's professional development resources to build skills, thrive academically, and launch your career. 



Cecile Ane, Professor

Joshua Cape, Assistant Professor 

Richard Chappell, Professor 

Peter Chien, Professor

Jessi Cisewski-Kehe, Assistant Professor

Sameer Deshapande, Assistant Professor

Rishabh Dudeja, Assistant Professor

Nicolas Garcia Trillos, Assistant Professor

Chris Geoga, Assistant Professor

Yongyi Guo, Assistant Professor

Yinqiu He, Assistant Professor

Hyunseung Kang, Associate Professor

Matthias Katzfuss, Professor

Sunduz Keles, Professor 

Bret Larget, Professor

Keith Levin, Assistant Professor

Wei-Yin Loh, Professor 

Michael Newton, Professor 

Vivak Patel, Assistant Professor

Alejandra Quintos, Assistant Professor

Garvesh Raskutti, Associate Professor

Karl Rohe, Professor

Kris Sankaran, Assistant Professor

Jun Shao, Professor 

Miaoyan Wang, Assistant Professor

Yahzen Wang (chair), Professor

Chunming Zhang, Professor 

Yiqiao Zhong, Assistant Professor

Jun Zhu, Professor