Undergraduate Students

Statistics provides the reasoning and the methods for producing and understanding data; it is the science of learning from data. It includes designing experiments or sampling surveys for the collection of data, collecting the information, evaluating it, drawing conclusions, and presenting the results.

Statisticians work with people from other professional backgrounds to solve practical problems. Statisticians can provide crucial guidance in determining what information is reliable and which predictions can be trusted. This diversity of application is an exciting aspect of the field, and is one reason for continuing strong demand for well-trained statisticians.

Statistics Major

Nearly every field relies on statisticians and data analysts to manage, evaluate, and communicate data. CSU Statistics graduates are employed across a wide variety of industries for jobs in data and analytics, finance, and research.

Statistics Major Tracks

Students have the option to complete an undergraduate track as part of the Statistics major.

Selecting a track is optional.  Here you will find the general requirements for a Statistics Major:

Introductory Courses

These courses make up the introduction to the Statistics program.

  • First year seminar (STAT 192)
  • Introduction to R Programming (STAT 158)
  • Culture and Coding: Python (CS 150B)

Statistics Core

These courses make up the core of the Statistics program.

  • Statistics Theory and Practice (STAT 315)
  • Data Analysis I and II (STAT 341 & STAT 342)
  • Probability and Mathematics Statistics I and II (STAT 420 & STAT 430)
  • Statistics Research Methods (STAT 472)

Math Core

These courses make up the math component of the Statistics Major.

  • Math for Computational Science I and II (MATH 156 & MATH 256)
  • Linear Algebra (DSCI/MATH 369)
  • Intro to Math Reasoning (MATH 235)

Note: many students start at a lower level of math – students do not need to be ready for calculus in the first semester!

Major Electives

These courses make up the remainder of the Statistics program, 15 credits.

  • 300-level Statistics, Data Science, Computer Science, and/or Math classes (up to 9 credits)
  • 400-level Statistics classes (at least 6 credits)

For full program details, including additional course options, please see the Major Checklist or CSU Catalog.

We love transfer students!  Check here for more information, and contact the undergraduate advisor at elizabeth.montgomery@colostate.edu to discuss how your previous coursework can apply to our Statistics program.

Statistics Minor

Adding a statistics minor to your degree program can be a valuable asset to future employers – nearly every industry relies on statistics and data analysis!

Here you will find the requirements for a Statistics Minor:

Introductory Courses

These courses make up the introduction to the Statistics minor, 4-5 credits.

  • R Programming (STAT 158)
  • Introduction to Statistics (choose one option)
    • General Statistics and Statistics Supplement (STAT 201 & STAT 302A)
    • Statistics for Business and Statistics Supplement (STAT 204 & STAT 302A)
    • Applied Statistics (STAT 301)
    • Biostatistics (STAT 307)
    • Statistics Theory and Practice (STAT 315)

Statistics Core

These courses make up the core of the Statistics minor, 6 credits.

  • Data Analysis I (STAT 341)
  • Data Analysis II (STAT 342)

Minor Electives

These courses make up the elective portion of the Statistics Minor, 12 credits.

  • Statistics electives: choose at least 6 upper-level STAT credits
  • Outside electives: choose up to 6 outside credits
    • Options include classes from a variety of disciplines, including Biology, Computer Science, Economics, Natural Resources, Math, Engineering, and Psychology

For full program details, including additional course options, please see the Minor Checklist or CSU Catalog.

Please contact the undergraduate advisor at elizabeth.montgomery@colostate.edu for more information.

Certificate in Sports Statistics and Analysis

The Certificate in Sports Statistics and Analytics will provide students with the knowledge and skills needed to work in the expanding field of sports analytics. Students will be able to acquire sports data using data scraping techniques and use these sports data to create graphical visualizations, generate summary statistics, build probabilistic models, assess hypothesis using statistical methods, create and evaluate regression models, implement machine learning algorithms, and present research findings in person and on paper.

Here you will find the requirements for a Certificate in Sports Statistics and Analysis:

Certificate Prerequisites

These courses make up the prerequisites of the Sports Statistics and Analytics Certificate, 4 credits.

  • R Programming (STAT 158)
  • Introduction to Statistics (choose one option)
    • General Statistics (STAT 201)
    • Statistics for Business (STAT 204)
    • Applied Statistics (STAT 301)
    • Biostatistics (STAT 307)
    • Statistics Theory and Practice (STAT 315)

Certificate Core

These courses make up the core of the Sports Statistics and Analytics Certificate, 6 credits.

  • Sports Statistics and Analytics I (STAT 351)
  • Sports Statistics and Analytics II (STAT 451)

Certificate Electives

These courses make up the elective portion of the Sports Statistics and Analytics Certificate, 3 credits.

  • Statistics electives: choose 1 of the following STAT credits:
    • Intermediate Applied Statistical Methods (STAT 331)
    • Statistical Computing (STAT 400)
    • Introduction to Stochastic Processes (STAT 421)
    • Bayesian Data Analysis (STAT 440)
    • Applied Multivariate Analysis (STAT 460)

For full program details, including additional course options, please see the CSU Catalog.

Please contact the undergraduate advisor at elizabeth.montgomery@colostate.edu for more information.

Double Major in Statistics and Economics

Students are invited to pursue a Statistics-Economics double major at CSU! Majoring in Statistics and Economics provides a highly valuable combination of a background in economics with the quantitative skills needed to analyze data and trends. The Statistics-Economics combination allows students the flexibility to pursue careers in a variety of industries, or apply to competitive graduate programs.

Here you will find the requirements for a double major in Statistics and Economics:

Economics Coursework

  • ECON 202: Microeconomics
  • ECON 204: Macroeconomics
  • ECON 304: Intermediate Macroeconomics
  • ECON 306: Intermediate Microeconomics
  • ECON 335: Introduction to Econometrics
  • ECON 435: Intermediate Econometrics
  • ECON 436: Economic Forecasting
  • ECON 535: Applied Econometrics
  • ECON 492: Seminar
  • Political Economics (choose one): ECON 332, 372, 376, 379, 474
  • Economics Electives: choose two other ECON classes

Statistics Coursework

  • STAT 315: Statistics Theory and Practice
  • STAT 341: Data Analysis I
  • STAT 342: Data Analysis II
  • STAT 420: Probability and Mathematics Statistics I
  • STAT 430: Probability and Mathematics Statistics II
  • STAT 472: Statistics Research Methods
  • Statistics Electives
    • Choose two: DSCI 445, STAT 400, 421, 440, 451, 460

Math Coursework

  • MATH 156: Math for Computational Science I
  • MATH 256: Math for Computational Science II
  • MATH/DSCI 369: Linear Algebra

Computer Science Coursework

  • STAT 158: R Programming
  • CS 150B: Culture and Coding: Python

For full program details, including additional course options, please see the Statistics Requirements and/or the Economics Requirements in the CSU Catalog.  

Did you know?

Graduates with double majors have extra protection against income loss during economic downturns.  The broad and diverse skill set allows for adaptability, and is shown to be appealing to employers.

(Monthly Labor Review, Bureau of Labor Statistics, April 2024)

Talk to an academic advisor to learn more! 

Beth Montgomery

Academic Success Coordinator – Statistics

elizabeth.montgomery@colostate.edu

Bruce Shields

Academic Success Coordinator – Economics

bruce.shields@colostate.edu

Student Success

STAT Alliance

STAT Alliance

Statistics Success Center (SSC)

Statistics Success Center (SSC)

Advising

Advising

Scholarships

Scholarships

Career Resources

Career Resources

Mathematics Tutoring

Mathematics Tutoring

Outside the Classroom

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