The minor, administered by the Department of Statistics, is designed to provide students with an understanding of the concepts of statistical inference and a familiarity with the methods of applied statistical analysis. A minor in statistics will assist students with their major field of study to better prepare them for a career in their chosen field. It will also prepare students to for graduate studies in statistics or in one of many areas where data analysis plays an important role. Interested students should contact the Statistics undergraduate advisor for admission into the minor. 

As of the Spring 2022 semester, requirements for the Statistics minor have changed, and students are no longer required to select a track for completion. Going forward, all students designating a Stat minor will follow the below requirements.

Students enrolled in a previous version of the Stat minor may still be following the Applied or Mathematical track of the minor and can click here to see their requirements. Requirements and minor progress can also be found by running a DARS audit.


To complete all required courses in the Statistics minor, students will need to take calculus through at least MATH 231. Prerequisites for all minor courses should be followed as written in the Course Explorer.


Due to the continued growth of the department and high demand of Statistics courses, many of course offerings hold major restrictions to ensure the highest priority to our majors. Pursuing a Stat minor does not grant a student priority registration rights for major restricted courses. Additional information on our course restrictions and when they will be removed can be found here.

Required Courses (17-22 hrs)

At least three courses must be in Statistics.

* denotes preferred courses

1. Statistical Concepts

Select one of the following:

STAT 100: Statistics*

STAT 107: Data Science Discovery*

ACE 261: Applied Statistical Methods

CPSC 241: Intro to Applied Statistics

ECON 202: Economic Statistics I

EPSY 280: Elements of Statistics

PSYC 235: Intro to Statistics

SOC 280: Intro to Social Statistics


2. Data Analysis

Select one of the following:

STAT 200: Statistical Analysis*

STAT 207: Data Science Exploration*

STAT 212: Biostatistics

ECON 203: Economic Statistics II

--CS 361 can be substituted for applicable students


3. Linear Algebra

Select one of the following:

MATH 225: Introductory Matrix Theory

MATH 257: Linear Algebra with Computational Applications*

MATH 415: Applied Linear Algebra

--MATH 416 or ASRM 406 can be substituted for applicable students


4. Mathematical Statistics

Select one of the following:

STAT 400: Statistics & Probability I*

ASRM 401/STAT 408: Actuarial Statistics I

MATH 461: Probability Theory


5. Advanced Statistical Methods

Select two of the following:

STAT 385: Statistics Programming Methods

STAT 410: Statistics and Probability II (if STAT 400 is completed)                                   

   or ASRM 402/STAT 409: Actuarial Statistics II (if ASRM 401/STAT 408 or MATH 461 is completed)

STAT 420: Methods of Applied Statistics*

   or STAT 425: Statistical Modeling I      

STAT 424: Analysis of Variance

STAT 426: Statistical Modeling II (If STAT 425 is completed)

STAT 428: Statistical Computing

STAT 429: Time Series Analysis

STAT 430: Topics in Applied Statistics

STAT 431: Applied Bayesian Analysis

STAT 432: Basics of Statistical Learning

STAT 433: Stochastic Processes

STAT 434: Survival Analysis

STAT 440: Statistical Data Management

STAT 443: Professional Statistics

STAT 447: Data Science Programming Methods

STAT 448: Advanced Data Analysis         

STAT 480: Big Data Analytics

ECON 471: Intro to Applied Econometrics

Please see Course Catalog for detailed course descriptions.

--STAT 430 may be repeated for fulfillment of the Advanced Statistical Methods requirement if the topics differ.


--Courses with a statistical focus at the 300- or 400-level offered by other departments may be accepted as satisfactory for this requirement pending a review of a current syllabus supplied to the Statistics Advising office. Students are encouraged to contact with questions and to submit syllabi of potential courses.