Program Overview

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Statistics: Statistics, PhD

This is a named option within the Statistics PhD.

Admissions

The program may have more detailed admissions requirements, which can be found below.

• 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.

Graduate Admissions Requirements

• 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.
• 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.

Funding

Graduate School Resources

The Bursars 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.

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

• Mode of Instruction: Face to Face
• Definitions:
  • Accelerated: Accelerated programs are offered at a fast pace that condenses the time to completion.
  • Evening/Weekend: Courses meet on the UWMadison campus only in evenings and/or on weekends to accommodate typical business schedules.
  • Face-to-Face: Courses typically meet during weekdays on the UW-Madison Campus.
  • Hybrid: These programs combine face-to-face and online learning formats.
  • Online: These programs are offered 100% online.

Curricular Requirements

• Minimum Credit Requirement: 51 credits
• Minimum Residence Credit Requirement: 32 credits
• Minimum Graduate Coursework Requirement: 26 credits must be graduate-level coursework.
• 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: 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.

Required Courses

• Core:
  • STAT/MATH 709: Mathematical Statistics I
  • STAT/MATH 710: Mathematical Statistics II
  • STAT 771: Computational Statistics
  • STAT 849: Advanced Statistical Methods
  • STAT 998: Statistical Consulting
• Methods: Students must complete 3 credits of methods.
• Statistics Electives: Students must complete 9 credits of statistics electives.
• Breadth: 9 credits
• Additional Coursework: Students must complete 11 credits of additional coursework to meet the minimum credit requirement.

Methods Courses

• STAT/B M I 620: Statistics in Human Genetics
• STAT/B M I 641: Statistical Methods for Clinical Trials
• STAT/B M I 642: Statistical Methods for Epidemiology
• STAT/B M I 643: Clinical Trial Design, Implementation, and Analysis
• STAT 701: Applied Time Series Analysis, Forecasting and Control I
• STAT/B M I 727: Theory and Methods of Longitudinal Data Analysis
• STAT/B M I 741: Survival Analysis Theory and Methods
• STAT 761: Decision Trees for Multivariate Analysis
• STAT/B M I 768: Statistical Methods for Medical Image Analysis
• STAT/ECON/GEN BUS 775: Bayesian Statistics
• STAT 801: Advanced Financial Statistics
• STAT/MATH 803: Experimental Design I
• STAT 809: Non Parametric Statistics
• STAT/B M I 828: Semiparametric Methods in Data Science
• STAT 841: Nonparametric Statistics and Machine Learning Methods
• STAT/B M I 877: Statistical Methods for Molecular Biology

Statistics Electives Courses

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

Graduate School Policies

The Graduate Schools Academic Policies and Procedures serve as the official document of record for Graduate School academic and administrative policies and procedures and are updated continuously.

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 UWMadison undergraduate degree numbered 600 or above may transfer toward minimum graduate degree credits.

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 UWMadison

With program approval, up to 15 Statistics (STAT) credits completed at UWMadison while a University Special student numbered 300 or above are allowed to transfer toward the minimum graduate degree credit requirement.

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.

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.

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.

Grievances and Appeals

These resources may be helpful in addressing your concerns:

• Bias or Hate Reporting
• Graduate Assistantship Policies and Procedures
• Hostile and Intimidating Behavior Policies and Procedures
• Office of the Provost for Faculty and Staff Affairs
• Employee Assistance
• Employee Disability Resource Office
• Graduate School
• Office of Compliance
• Office Student Assistance and Support
• Office of Student Conduct and Community Standards
• Ombuds Office for Faculty and Staff
• Title IX

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.

Appeal Process for Graduate Students

A graduate student wishing to appeal an academic decision must follow the process in the order listed below.

1. The student should first seek informal resolution, if possible, by discussing the concern with their academic advisor, the departments 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.
3. If the departmental process upholds the original decision, the graduate student may next initiate an appeal to L&S.

Professional Development

Graduate School Resources

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