Admissions
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:
| Code | Title | Credits |
|---|---|---|
| STAT 240 | Data Science Modeling I | 4 |
| STAT 301 | Introduction to Statistical Methods | 3 |
| STAT 324 | Introduction to Statistics for Science and Engineering | 3 |
| STAT 371 | Introductory Applied Statistics for the Life Sciences | 3 |
| STAT/B M I 541 | Introduction to Biostatistics | 3 |
| STAT/F&W ECOL 571 | Statistical Methods for Bioscience I | 4 |
Requirements
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.
Grade Requirement
Students must achieve a 3.00 GPA in courses used to satisfy the minor requirement.
Required Courses
Students must complete at least four courses totaling 12 or more credits. Courses must be selected from the following four lists. Students must take at least one course from List 1, and may take at most one course from each of Lists 2, 3, 4.
| Code | Title | Credits |
|---|---|---|
| List 1: Methodological, computational, and applied Statistics elective courses (at least one course) | ||
| STAT 303 | R for Statistics I | 1 |
| STAT 304 | R for Statistics II | 1 |
| STAT 305 | R for Statistics III | 1 |
| STAT 333 | Applied Regression Analysis | 3 |
| STAT 340 | Data Science Modeling II | 4 |
| STAT 349 | Introduction to Time Series | 3 |
| STAT 351 | Introductory Nonparametric Statistics | 3 |
| STAT 405 | Data Science Computing Project | 3 |
| STAT 436 | Statistical Data Visualization | 3 |
| STAT 411 | An Introduction to Sample Survey Theory and Methods | 3 |
| STAT 421 | Applied Categorical Data Analysis | 3 |
| STAT 424 | Statistical Experimental Design | 3 |
| STAT 433 | Data Science with R | 3 |
| STAT 443 | Classification and Regression Trees | 3 |
| STAT 451 | Introduction to Machine Learning and Statistical Pattern Classification | 3 |
| STAT 453 | Introduction to Deep Learning and Generative Models | 3 |
| STAT 456 | Applied Multivariate Analysis | 3 |
| STAT 461 | Financial Statistics | 3 |
| STAT/COMP SCI 471 | Introduction to Computational Statistics | 3 |
| STAT 479 | Special Topics in Statistics | 1-3 |
| STAT/B M I 542 | Introduction to Clinical Trials I | 3 |
| STAT/F&W ECOL 572 | Statistical Methods for Bioscience II | 4 |
| STAT 575 | Statistical Methods for Spatial Data | 3 |
| STAT/B M I 620 | Statistics in Human Genetics | 3 |
| STAT/B M I 641 | Statistical Methods for Clinical Trials | 3 |
| STAT/B M I 642 | Statistical Methods for Epidemiology | 3 |
| STAT/B M I 643 | Clinical Trial Design, Implementation, and Analysis | 3 |
| STAT 679 | Special Topics in Statistics | 1-3 |
| STAT 701 | Applied Time Series Analysis, Forecasting and Control I | 3 |
| STAT/B M I 727 | Theory and Methods of Longitudinal Data Analysis | 3 |
| STAT 732 | Large Sample Theory of Statistical Inference | 3 |
| STAT/B M I 741 | Survival Analysis Theory and Methods | 3 |
| STAT 760 | Multivariate Analysis I | 3 |
| STAT 761 | Decision Trees for Multivariate Analysis | 3 |
| STAT/B M I 768 | Statistical Methods for Medical Image Analysis | 3 |
| STAT 772 | Linear Randomized Algorithms for Data Science | 3 |
| STAT 771 | Computational Statistics | 4 |
| STAT/ECON/GEN BUS 775 | Bayesian Statistics | 3 |
| STAT 780 | Introduction to Quantum Data Science | 3 |
| STAT 801 | Advanced Financial Statistics | 3 |
| STAT/MATH 803 | Experimental Design I | 3 |
| STAT 841 | Nonparametric Statistics and Machine Learning Methods | 3 |
| STAT 849 | Advanced Statistical Methods | 4 |
| STAT/COMP SCI/E C E 861 | Theoretical Foundations of Machine Learning | 3 |
| STAT/B M I 877 | Statistical Methods for Molecular Biology | 3 |
| STAT/E C E/MATH 888 | Topics in Mathematical Data Science | 1-3 |
| STAT 992 | Seminar | 1-3 |
| List 2: Probability courses (at most one course) | ||
| STAT/MATH 309 | Introduction to Probability and Mathematical Statistics I | 3 |
| STAT 311 | Introduction to Theory and Methods of Mathematical Statistics I | 3 |
| STAT/MATH 431 | Introduction to the Theory of Probability | 3 |
| STAT 609 | Mathematical Statistics I | 3 |
| STAT/MATH 709 | Mathematical Statistics I | 4 |
| STAT/MATH 733 | Theory of Probability I | 3 |
| List 3: Statistical inference courses (at most one course) | ||
| STAT/MATH 310 | Introduction to Probability and Mathematical Statistics II | 3 |
| STAT 312 | Introduction to Theory and Methods of Mathematical Statistics II | 3 |
| STAT 610 | Introduction to Statistical Inference | 4 |
| STAT/MATH 710 | Mathematical Statistics II | 4 |
| List 4: Other electives (at most one course) | ||
| STAT/COMP SCI/MATH 475 | Introduction to Combinatorics | 3 |
| STAT/COMP SCI/I SY E/MATH 525 | Linear Optimization | 3 |
| STAT/I SY E/MATH/OTM 632 | Introduction to Stochastic Processes | 3 |
| STAT/COMP SCI/I SY E/MATH 726 | Nonlinear Optimization I | 3 |
| STAT/MATH 734 | Theory of Probability II | 3 |
| STAT/MATH 833 | Topics in the Theory of Probability | 3 |
| OR another course approved by the PhD minor advisor. | ||