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

Admissions

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 December 1
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 Refer to the Graduate School: Minimum Requirements for Admission policy: https://policy.wisc.edu/library/UW-1241.
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.

Funding

Graduate School Resources

The Bursar’s Office provides information about tuition and fees associated with being a graduate student. 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 degree requirements and policies, 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 51 credits
Minimum Residence Credit Requirement 32 credits
Minimum Graduate Coursework Requirement 26 credits must be graduate-level coursework. Refer to the Graduate School: Minimum Graduate Coursework (50%) Requirement policy: https://policy.wisc.edu/library/UW-1244.
Overall Graduate GPA Requirement 3.00 GPA required.
Refer to the Graduate School: Grade Point Average (GPA) Requirement policy: https://policy.wisc.edu/library/UW-1203.
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 the PhD qualifying examination, an oral preliminary examination on a topic selected with the approval of the student's advisor, and a dissertation defense.
Language Requirements No language requirements.
Graduate School Breadth Requirement Statistics doctoral students are not required to complete a minor or graduate/professional certificate by the Graduate School. The program does require students to meet the breadth requirement (https://policy.wisc.edu/library/UW-1200) for a minimum of 9 credits in one of three ways:
  • Complete an Option A (external) minor
  • Complete an Option B (distributed) minor consisting of at least 3 credits outside the Department of Statistics
  • Complete a Graduate/Professional Certificate


Courses or credits applied towards the breadth requirement cannot also be applied to core, methods, or elective categories below.

See the program website (https://stat.wisc.edu/graduate-studies/phd-program/) for more details.

Required Courses

Core
Students must complete the following courses.
STAT/​MATH  709 Mathematical Statistics I4
STAT/​MATH  710 Mathematical Statistics II4
STAT 771 Computational Statistics4
STAT 849 Advanced Statistical Methods4
STAT 998 Statistical Consulting3
Methods
Students must complete 3 credits of methods. Refer to the "Methods Courses" table for courses that satisfy this requirement.3
Statistics Electives
Students must complete 9 credits of statistics electives. Refer to the "Statistics Electives Courses" table for courses that satisfy this requirement. Note: Students cannot apply the same course towards both the methods requirement and statistics electives requirement.9
Breadth9
Additional Coursework
Students must complete 11 credits of additional coursework to meet the minimum credit requirement. Typically, this is earned through a combination of directed research (course listed below) and other elective courses selected in consultation with advisor.11
Research
Total Credits51

Methods Courses

STAT/​B M I  620 Statistics in Human Genetics3
STAT/​B M I  641 Statistical Methods for Clinical Trials3
STAT/​B M I  642 Statistical Methods for Epidemiology3
STAT/​B M I  643 Clinical Trial Design, Implementation, and Analysis3
STAT 701 Applied Time Series Analysis, Forecasting and Control I3
STAT/​B M I  727 Theory and Methods of Longitudinal Data Analysis3
STAT/​B M I  741 Survival Analysis Theory and Methods3
STAT 761 Decision Trees for Multivariate Analysis3
STAT/​B M I  768 Statistical Methods for Medical Image Analysis3
STAT/​ECON/​GEN BUS  775 Bayesian Statistics3
STAT 801 Advanced Financial Statistics3
STAT/​MATH  803 Experimental Design I3
STAT 809 Non Parametric Statistics3
STAT/​B M I  828 Semiparametric Methods in Data Science3
STAT 841 Nonparametric Statistics and Machine Learning Methods3
STAT/​B M I  877 Statistical Methods for Molecular Biology3

 Statistics Electives Courses

STAT/​B M I  620 Statistics in Human Genetics3
STAT/​B M I  641 Statistical Methods for Clinical Trials3
STAT/​B M I  642 Statistical Methods for Epidemiology3
STAT/​B M I  643 Clinical Trial Design, Implementation, and Analysis3
STAT 701 Applied Time Series Analysis, Forecasting and Control I3
STAT/​COMP SCI/​I SY E/​MATH  726 Nonlinear Optimization I3
STAT/​B M I  727 Theory and Methods of Longitudinal Data Analysis3
STAT 732 Large Sample Theory of Statistical Inference3
STAT/​MATH  733 Theory of Probability I3
STAT/​MATH  734 Theory of Probability II3
STAT/​B M I  741 Survival Analysis Theory and Methods3
STAT 760 Multivariate Analysis I3
STAT 761 Decision Trees for Multivariate Analysis3
STAT/​B M I  768 Statistical Methods for Medical Image Analysis3
STAT 772 Linear Randomized Algorithms for Data Science3
STAT/​ECON/​GEN BUS  775 Bayesian Statistics3
STAT 780 Introduction to Quantum Data Science3
STAT 801 Advanced Financial Statistics3
STAT/​MATH  803 Experimental Design I3
STAT 809 Non Parametric Statistics3
STAT/​B M I  828 Semiparametric Methods in Data Science3
STAT/​MATH  833 Topics in the Theory of Probability 13
STAT 841 Nonparametric Statistics and Machine Learning Methods3
STAT/​COMP SCI/​E C E  861 Theoretical Foundations of Machine Learning3
STAT/​B M I  877 Statistical Methods for Molecular Biology3
STAT/​E C E/​MATH  888 Topics in Mathematical Data Science 11-3
STAT 992 Seminar 11-3
MATH 521 Analysis I3
1

Students may not apply multiple special topics courses with the same topic title towards their degree.

Graduate School Policies

The Graduate School’s Academic Policies and Procedures serve as the official document of record for Graduate School academic and administrative policies and procedures and are updated continuously. Note some policies redirect to entries in the official UW-Madison Policy Library. Programs may set more stringent policies than the Graduate School. Policies set by the academic degree program can be found below.

Named Option-Specific Policies

Prior Coursework

Graduate Credits Earned at Other Institutions

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

Undergraduate Credits Earned at Other Institutions or UW-Madison

With program approval, up to 6 Statistics (STAT) credits from a UW–Madison undergraduate degree numbered 600 or above may transfer toward minimum graduate degree credits. Coursework earned ten or more years prior to admission to a doctoral degree is not allowed to satisfy requirements. Transfer credits from other institutions are not accepted.

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 15 Statistics (STAT) 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 are taken to meet the requirements of a capstone certificate and has the "Grad 50%" attribute may also transfer toward the minimum graduate coursework (50%) requirement. Coursework earned ten or more years prior to admission to a doctoral degree is not allowed to satisfy requirements.

Probation

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 credit maximum. Refer to the Graduate School: Maximum Credit Loads and Overload Requests policy.

Time Limits

Students must pass the PhD qualifying examination within six semesters from the first fall semester of registration as a graduate student in the department. Students who complete a master's in the department and then are admitted to the PhD program must pass the PhD qualifying examination within four semesters after entering the PhD program.

Grievances and Appeals

These resources may be helpful in addressing your concerns:

L&S Policy for Graduate Student Academic Appeals

Graduate students have the right to appeal an academic decision related to an L&S graduate program if the student believes that the decision is inconsistent with published policy.

Academic decisions that may be appealed include: 

  • Dismissal from the graduate program
  • Failure to pass a qualifying or preliminary examination
  • Failure to achieve satisfactory academic progress
  • Academic disciplinary action related to failure to meet professional conduct standards

Issues such as the following cannot be appealed using this process:

  • A faculty member declining to serve as a graduate student’s advisor.
  • Decisions regarding the student’s disciplinary knowledge, evaluation of the quality of work, or similar judgements. These are the domain of the department faculty.
  • Course grades. These can be appealed instead using the L&S Policy for Grade Appeal.
  • Incidents of bias or hate, hostile and intimidating behavior, or discrimination (Title IX, Office of Compliance). Direct these to the linked campus offices appropriate for the incident(s).

Appeal Process for Graduate Students

A graduate student wishing to appeal an academic decision must follow the process in the order listed below. Note time limits within each step.

  1. The student should first seek informal resolution, if possible, by discussing the concern with their academic advisor, the department’s Director of Graduate Studies, and/or the department chair.
  2. If the program has an appeal policy listed in their graduate program handbook, the student should follow the policy as written, including adhering to any indicated deadlines. In the absence of a specific departmental process, the chair or designee will be the reviewer and decision maker, and the student should submit a written appeal to the chair within 15 business days of the academic decision. The chair or designee will notify the student in writing of their decision.
  3. If the departmental process upholds the original decision, the graduate student may next initiate an appeal to L&S. To do so, the student must submit a written appeal to the L&S Assistant Dean for Graduate Student Academic Affairs within 15 business days of notification of the department’s decision.
    1. To the fullest extent possible, the written appeal should include, in a single document: a clear and concise statement of the academic decision being appealed, any relevant background on what led to the decision, the specific policies involved, the relief sought, any relevant documentation related to the departmental appeal, and the names and titles of any individuals contributing to or involved in the decision.
    2. The Assistant Dean will work with the Academic Associate Dean of the appropriate division to consider the appeal. They may seek additional information and/or meetings related to the case. 
    3. The Assistant Dean and Academic Associate Dean will provide a written decision within 20 business days.
  4. If L&S upholds the original decision, the graduate student may appeal to the Graduate School. More information can be found on their website: Grievances and Appeals (see: Graduate School Appeal Process).

Other

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.