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All graduate students must utilize the Graduate Student Portal in MyUW to add, change, or discontinue any doctoral minor. To apply to this minor, please log in to MyUW, click on Graduate Student Portal, and then click on Add/Change Programs. Then submit this form to have your program of study approved.  

For admission for an Option A Minor in statistics, the candidate must have had at least one year of calculus, and an introductory knowledge of statistics that is satisfactory to the department. Any of the following (or an equivalent course) is sufficient for this purpose:

STAT 240 Data Science Modeling I4
STAT 301 Introduction to Statistical Methods3
STAT 324 Introductory Applied Statistics for Engineers3
STAT 371 Introductory Applied Statistics for the Life Sciences3
STAT/​B M I  541 Introduction to Biostatistics3
STAT/​F&W ECOL/​HORT  571 Statistical Methods for Bioscience I4


Please carefully read the requirements below. Requests for further information should be addressed to the Doctoral Minor Advisor in the Department of Statistics.  Note: Candidates for an Option A Minor in Statistics must be aware of the Graduate School "Minors" policy.  For further information please visit the Statistics Doctoral Minor link.

The student should have a program of study approved by the Doctoral Minor Advisor in the Department of Statistics and the student's major advisor, early in the student's graduate work. The proposed program should be submitted to and approved by the minor program advisor in statistics upon, or before, the completion of 6 credits. 

Please see Guide Admissions/How to Get In tab for specific details on how to declare.

Students must achieve a 3.00 GPA in courses used to satisfy the minor requirement.

Students must complete at least four courses totaling 12 or more credits. See course options and conditions below.
Methodological, computational, and applied Statistics elective courses (at least one course):
STAT 303 R for Statistics I1
STAT 304 R for Statistics II1
STAT 305 R for Statistics III1
STAT 333 Applied Regression Analysis3
STAT 340 Data Science Modeling II4
STAT 349 Introduction to Time Series3
STAT 351 Introductory Nonparametric Statistics3
STAT 405 Data Science Computing Project3
STAT 436 Statistical Data Visualization3
STAT 411 An Introduction to Sample Survey Theory and Methods3
STAT 421 Applied Categorical Data Analysis3
STAT/​M E  424 Statistical Experimental Design3
STAT 433 Data Science with R3
STAT 443 Classification and Regression Trees3
STAT 451 Introduction to Machine Learning and Statistical Pattern Classification3
STAT 453 Introduction to Deep Learning and Generative Models3
STAT 456 Applied Multivariate Analysis3
STAT 461 Financial Statistics3
STAT/​COMP SCI  471 Introduction to Computational Statistics3
STAT 479 Special Topics in Statistics1-3
STAT/​B M I  542 Introduction to Clinical Trials I3
STAT/​F&W ECOL/​HORT  572 Statistical Methods for Bioscience II4
STAT 575 Statistical Methods for Spatial Data3
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 679 Special Topics in Statistics1-3
STAT 701 Applied Time Series Analysis, Forecasting and Control I3
STAT/​B M I  727 Theory and Methods of Longitudinal Data Analysis3
STAT 732 Large Sample Theory of Statistical Inference3
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 771 Statistical Computing3
STAT 772 Linear Randomized Algorithms for Data Science3
STAT/​ECON/​GEN BUS  775 Introduction to Bayesian Decision and Control I3
STAT 780 Introduction to Quantum Data Science3
STAT 801 Advanced Financial Statistics3
STAT/​MATH  803 Experimental Design I3
STAT 809 Non Parametric Statistics3
STAT 811 Sample Survey Theory and Method3
STAT 834 Empirical Processes and Semiparametric Inference1-3
STAT 840 Statistical Model Building and Learning3
STAT 841 Nonparametric Statistics and Machine Learning Methods3
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 860 Estimation of Functions from Data3
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 Science1-3
STAT 992 Seminar1-3
Probability course (at most one course) :
STAT/​MATH  309 Introduction to Probability and Mathematical Statistics I3
STAT 311 Introduction to Theory and Methods of Mathematical Statistics I3
STAT/​MATH  431 Introduction to the Theory of Probability3
STAT 609 Mathematical Statistics I3
STAT/​MATH  709 Mathematical Statistics4
STAT/​MATH  733 Theory of Probability I3
Statistical inference courses (at most one course):
STAT/​MATH  310 Introduction to Probability and Mathematical Statistics II3
STAT 312 Introduction to Theory and Methods of Mathematical Statistics II3
STAT 610 Introduction to Statistical Inference4
STAT/​MATH  710 Mathematical Statistics4
Other elective (at most one course):
STAT/​COMP SCI/​MATH  475 Introduction to Combinatorics3
STAT/​COMP SCI/​I SY E/​MATH  525 Linear Optimization3
STAT/​I SY E/​MATH/​OTM  632 Introduction to Stochastic Processes3
STAT/​COMP SCI/​I SY E/​MATH  726 Nonlinear Optimization I3
STAT/​MATH  734 Theory of Probability II3
STAT/​MATH  833 Topics in the Theory of Probability3
OR another course approved by the PhD minor advisor.
Total Credits12



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