Statistics is the science of modeling, summarizing, and analyzing data. Statisticians help people produce trustworthy data, analyze the data, and present the results in a useful manner. Statisticians work with people from other professional backgrounds to solve practical problems. They provide crucial guidance in determining what information is reliable and which predictions can be trusted. An exciting aspect of the field is the diversity of areas where statistical methods are used; this is one reason for continuing strong demand for well-trained statisticians. With the popularity of big data and the focus on quantitative analysis in many fields, there will continue to be a high demand for graduates with a statistics major or minor. Students who succeed in the field of statistics typically have strong quantitative skills, analytical minds, and like to help other people solve problems.

Learning Outcomes

Students completing this program will be able to:

  • Conceptualize analytical questions in terms of a model,
  • Apply their knowledge of the core set of statistical methods,
  • Perform data analysis using statistical software,
  • Interpret and communicate statistical results,
  • Either attend graduate school in statistics or find professional employment in a statistics field upon completion of a statistics major.

Potential Occupations

Statisticians find employment in a wide range of industries including medicine (evaluating new medicines and medical treatments), computing, business, market research, natural resources, government, industrial quality control, social science research, and more. Almost every industry has a statistician or a group of statisticians somewhere in the organization. Graduate school is also an option after graduation. Many of our undergraduate majors have continued on to graduate school in statistics, either at CSU or other universities. Almost all statistics majors are able to find work in this field and/or gain entrance to graduate school after successfully completing a statistics degree.

To learn more about a Major in Statistics please see our Advising page, or contact us at

Effective Fall 2022

A minimum grade of C (2.000) is required in each CS, DSCI, MATH, and STAT course required for the major.

CO 150College Composition (GT-CO2)1A3
MATH 160Calculus for Physical Scientists I (GT-MA1)1B4
MATH 161Calculus for Physical Scientists II (GT-MA1)1B4
STAT 158Introduction to R Programming 1
STAT 192First-Year Seminar in Statistics 1
STAT 315Intro to Theory and Practice of Statistics 3
Select one course from the following: 2-4
Culture and Coding: Java (GT-AH3)3B 
Culture and Coding: Python (GT-AH3)3B 
Python for STEM  
CS1---No Prior Programming Experience  
CS1--Computational Thinking with Java  
Diversity, Equity, and Inclusion1C3
Historical Perspectives3D3
Electives 4-6
 Total Credits 30
MATH 261Calculus for Physical Scientists III 4
STAT 341Statistical Data Analysis I 3
STAT 342Statistical Data Analysis II 3
Select one course from the following: 2-4
Discrete Structures and their Applications  
Introduction to Mathematical Reasoning  
Select one course from the following:  3-4
Linear Algebra for Data Science  
Linear Algebra I  
Select one course from the following:  3
Strategic Writing and Communication (GT-CO3)2 
Writing Arguments (GT-CO3)2 
Biological and Physical Sciences3A7
Electives 2-5
 Total Credits 30
STAT 420Probability and Mathematical Statistics I 3
STAT 430Probability and Mathematical Statistics II4A3
STAT 472Statistical Research--Design, Data, Methods4A,4B,4C3
Upper-Division STAT/DSCI/MATH/CS Elective1 3
Arts and Humanities3B6
Social and Behavioral Sciences3C3
Electives 9
 Total Credits 30
Upper-Division STAT/DSCI/MATH/CS Elective1 6
400-Level STAT Electives2 6
Electives3 18
 Total Credits 30
 Program Total Credits: 120

Select upper-division (300- to 400-level) statistics, data science, mathematics, or computer science (excluding courses ending in -82 to-99).


Select 400-level Statistics courses (excluding courses ending in -82 to-99)


Select enough elective credits to bring the program total to a minimum of 120 credits, of which at least 42 must be upper-division (300- to 400-level).

Distinctive Requirements for Degree Program:

To Prepare for First Semester: The Curriculum for the Statistics Major assumes students enter college prepared to take calculus. Entering students who are not prepared to take calculus will need to fulfill pre-calculus requirements in the first semester. A minimum grade of C (2.000) is required in all CS, DSCI, MATH, and STAT courses which are required by the major.

Semester 1CriticalRecommendedAUCCCredits
CO 150College Composition (GT-CO2) X1A3
MATH 160Calculus for Physical Scientists I (GT-MA1) X1B4
STAT 192First-Year Seminar in StatisticsX  1
Diversity, Equity, and Inclusion  1C3
Historical Perspectives  3D3
 Total Credits   14
Semester 2CriticalRecommendedAUCCCredits
MATH 161Calculus for Physical Scientists II (GT-MA1) X1B4
STAT 158Introduction to R ProgrammingX  1
STAT 315Intro to Theory and Practice of Statistics X 3
Select one course from the following:   2-4
Culture and Coding: Java (GT-AH3)  3B 
Culture and Coding: Python (GT-AH3)  3B 
Python for STEM X  
CS1---No Prior Programming Experience X  
CS1--Computational Thinking with Java X  
Electives   4-6
 Total Credits   16
Semester 3CriticalRecommendedAUCCCredits
MATH 261Calculus for Physical Scientists III X 4
STAT 341Statistical Data Analysis I X 3
Select one course from the following:   3-4
Linear Algebra for Data Science    
Linear Algebra I    
Biological and Physical Sciences  3A4
 Total Credits   14-15
Semester 4CriticalRecommendedAUCCCredits
STAT 342Statistical Data Analysis IIX  3
Select one course from the following:   2-4
Discrete Structures and their Applications    
Introduction to Mathematical Reasoning    
Select one course from the following:   3
Writing Arguments (GT-CO3)  2 
Strategic Writing and Communication (GT-CO3)  2 
Biological and Physical Sciences  3A3
Electives   2-5
STAT 341 and STAT 342 must be completed by the end of Semester 4.X   
 Total Credits   15-16
Semester 5CriticalRecommendedAUCCCredits
STAT 420Probability and Mathematical Statistics I   3
STAT 472Statistical Research--Design, Data, Methods  4A,4B,4C3
Arts and Humanities  3B3
Social and Behavioral Sciences  3C3
Electives   3
 Total Credits   15
Semester 6CriticalRecommendedAUCCCredits
STAT 430Probability and Mathematical Statistics II  4A3
Upper-Division STAT/DSCI/MATH/CS Elective   3
Arts and Humanities  3B3
Electives   6
STAT 420 and STAT 430 must be completed by the end of Semester 6.X   
 Total Credits   15
Semester 7CriticalRecommendedAUCCCredits
Upper-Division STAT/DSCI/MATH/CS Elective   3
400-Level STAT Elective   3
Electives   9
 Total Credits   15
Semester 8CriticalRecommendedAUCCCredits
Upper-Division STAT/DSCI/MATH/CS ElectiveX  3
400-Level STAT ElectiveX  3
ElectivesX  9
The benchmark courses for the 8th semester are the remaining courses in the entire program of study.X   
 Total Credits   15
 Program Total Credits:   120