Offered at: San Luis Obispo Campus
The statistics minor program allows students from across the University to acquire substantial statistical skills that can be applied in their own disciplines. Please consult the Statistics Department website or the Statistics Department Minor Advisor for admissions requirements for the minor.
Minor Requirements and Curriculum
The minor must be completed prior to, or at the same time as, the requirements for the bachelor's degree. A major and a minor may not be taken in the same degree program, and a minor is not required for a degree. Requirements for the minor include:
 - At least half of the units must be from upper-division courses (3000-4000 level).
 - At least half of the units must be taken at Cal Poly (in residence).
 - No more than one-third of the units will be taken with credit-no credit grading (CR/NC), not counting courses with mandatory CR/NC. Departments may further limit CR/NC grading if desired.
 - A minimum 2.0 GPA is required in all units counted for completion of the minor.
 
| Code | Title | Units | 
|---|---|---|
| REQUIRED COURSES | ||
| DATA/STAT 1810 | Introduction to Statistical Computing with R | 3 | 
| STAT 1220 | Business Statistics II | 3 | 
| or STAT 3520 | Statistics II | |
| Select from the following: | 3 | |
| Applied Statistical Concepts and Methods | ||
| Business Statistics I | ||
| Statistics I | ||
| Engineering Statistics | ||
| Approved Electives | ||
| Select from the following: | 9 | |
| Introduction to Data Science | ||
| Introduction to Statistical Computing with SAS and SQL | ||
| Intermediate Statistical Computing with R | ||
| Statistical Learning with R | ||
| Introduction to Probability and Simulation | ||
| Applied Regression Analysis | ||
or STAT 3530  | Applied Linear Models | |
| Statistical Methods for Study Design and Analysis | ||
| Teaching Statistics: Pedagogy, Content, Technology, and Assessment | ||
| Probability Theory | ||
| Statistical Theory | ||
| Multilevel and Mixed Modeling | ||
| Bayesian Reasoning and Methods | ||
| Statistical Analysis of Time Series | ||
| Survival Analysis Methods | ||
| Categorical Data Analysis | ||
| Applied Multivariate Statistics | ||
| Generalized Linear Models | ||
| Applied Stochastic Processes | ||
| Advanced Design and Analysis of Experiments | ||
| Total Units | 18 | |