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, and more. Almost every industry has a statistician or a group of statisticians somewhere in the organization. Graduate school is another pathway 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.

Effective Fall 2016

A minimum grade of C is required in each mathematics, statistics, and computer science course required for the major.

Freshman
AUCCCredits
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 315Statistics for Engineers and Scientists 3
Global and Cultural Awareness3E3
Historical Perspectives3D3
Electives 9
 Total Credits 30
Sophomore
 
JTC 300Professional and Technical Communication (GT-CO3)23
MATH 261Calculus for Physical Scientists III 4
MATH 369Linear Algebra I 3
STAT 341Statistical Data Analysis I 3
STAT 342Statistical Data Analysis II 3
Select one group from the following: 4
Group A:  
Java (CS1) No Prior Programming
Java (CS1) Prior Programming
  
Group B:  
Introduction to Unix  
Introduction to C Programming I  
In addition to CS 155 and CS 156, select at least two of the following:
  
Introduction to C Programming II  
Mathematical Algorithms in C  
Mathematical Algorithms in Matlab I  
Mathematical Algorithms in Maple  
Biological and Physical Sciences3A7
Electives 3
 Total Credits 30
Junior
 
MATH 317Advanced Calculus of One Variable 4
STAT 358Introduction to Statistical Computing in SAS 2
STAT 420Probability and Mathematical Statistics I 3
STAT 430Probability and Mathematical Statistics II4A3
Select one course from the following: 3
Statistical Computing  
Bayesian Data Analysis  
Select one course from the following: 3
Sampling Techniques  
Applied Multivariate Analysis  
Arts and Humanities3B6
Social and Behavioral Sciences3C3
Upper-Division CS/MATH/STAT Electives1 3
 Total Credits 30
Senior
 
STAT 472Statistical Consulting4A,4B,4C3
Upper-Division CS/MATH/STAT Elective1 3
Electives2 24
 Total Credits 30
 Program Total Credits: 120
1

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

2

 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 Mathematics, Statistics, and Computer Science courses which are required by the major.

Freshman
Semester 1CriticalRecommendedAUCCCredits
CO 150College Composition (GT-CO2) X1A3
MATH 160Calculus for Physical Scientists I (GT-MA1)X 1B4
STAT 158Introduction to R Programming   1
Global and Cultural Awareness  3E3
Elective   3
 Total Credits   14
Semester 2CriticalRecommendedAUCCCredits
MATH 161Calculus for Physical Scientists II (GT-MA1)X 1B4
STAT 315Statistics for Engineers and Scientists   3
Historical Perspectives  3D3
Electives   6
 Total Credits   16
Sophomore
Semester 3CriticalRecommendedAUCCCredits
Select 4 credits from one of the following groups:X  4
Group A:    
Java (CS1) No Prior Programming    
Java (CS1) Prior Programming    
Group B:    
Introduction to Unix    
Introduction to C Programming I    
In addition to CS 155 or CS 156, select at least two of the following:    
Introduction to C Programming II    
Mathematical Algorithms in C    
Mathematical Algorithms in Matlab I    
Mathematical Algorithms in Maple    
MATH 261Calculus for Physical Scientists III X 4
STAT 341Statistical Data Analysis I   3
Biological and Physical Sciences  3A3
 Total Credits   14
Semester 4CriticalRecommendedAUCCCredits
JTC 300Professional and Technical Communication (GT-CO3)  23
MATH 369Linear Algebra I   3
STAT 342Statistical Data Analysis II   3
Biological and Physical Sciences  3A4
Elective   3
STAT 341 and STAT 342 must be completed by the end of Semester 4.X   
 Total Credits   16
Junior
Semester 5CriticalRecommendedAUCCCredits
MATH 317Advanced Calculus of One Variable   4
STAT 420Probability and Mathematical Statistics I   3
Select one course from the following:   3
Sampling Techniques    
Applied Multivariate Analysis    
Arts and Humanities  3B3
Social and Behavioral Sciences  3C3
 Total Credits   16
Semester 6CriticalRecommendedAUCCCredits
STAT 358Introduction to Statistical Computing in SAS   2
STAT 430Probability and Mathematical Statistics II  4A3
Select one course from the following:   3
Statistical Computing    
Bayesian Data Analysis    
Arts and Humanities  3B3
Upper-Division CS/MATH/STAT Elective   3
STAT 420 and STAT 430 must be completed by the end of Semester 6.X   
 Total Credits   14
Senior
Semester 7CriticalRecommendedAUCCCredits
Electives   15
 Total Credits   15
Semester 8CriticalRecommendedAUCCCredits
STAT 472Statistical ConsultingX 4A,4B,4C3
Upper-Division CS/MATH/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