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 Objectives
Students successfully 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 stats@stat.colostate.edu.
Effective Fall 2022
A minimum grade of C (2.000) is required in each CS, DSCI, MATH, and STAT course required for the major.
Freshman | |||
---|---|---|---|
AUCC | Credits | ||
CO 150 | College Composition (GT-CO2) | 1A | 3 |
MATH 160 | Calculus for Physical Scientists I (GT-MA1) | 1B | 4 |
MATH 161 | Calculus for Physical Scientists II (GT-MA1) | 1B | 4 |
STAT 158 | Introduction to R Programming | 1 | |
STAT 192 | First-Year Seminar in Statistics | 1 | |
STAT 315 | Intro 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 Inclusion | 1C | 3 | |
Historical Perspectives | 3D | 3 | |
Electives | 4-6 | ||
Total Credits | 30 | ||
Sophomore | |||
MATH 261 | Calculus for Physical Scientists III | 4 | |
STAT 341 | Statistical Data Analysis I | 3 | |
STAT 342 | Statistical 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 Sciences | 3A | 7 | |
Electives | 2-5 | ||
Total Credits | 30 | ||
Junior | |||
STAT 420 | Probability and Mathematical Statistics I | 3 | |
STAT 430 | Probability and Mathematical Statistics II | 4A | 3 |
STAT 472 | Statistical Research--Design, Data, Methods | 4A,4B,4C | 3 |
Upper-Division STAT/DSCI/MATH/CS Elective1 | 3 | ||
Arts and Humanities | 3B | 6 | |
Social and Behavioral Sciences | 3C | 3 | |
Electives | 9 | ||
Total Credits | 30 | ||
Senior | |||
Upper-Division STAT/DSCI/MATH/CS Elective1 | 6 | ||
400-Level STAT Electives2 | 6 | ||
Electives3 | 18 | ||
Total Credits | 30 | ||
Program Total Credits: | 120 |
- 1
Select upper-division (300- to 400-level) statistics, data science, mathematics, or computer science (excluding courses ending in -82 to-99).
- 2
Select 400-level Statistics courses (excluding courses ending in -82 to-99)
- 3
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.
Freshman | |||||
---|---|---|---|---|---|
Semester 1 | Critical | Recommended | AUCC | Credits | |
CO 150 | College Composition (GT-CO2) | X | 1A | 3 | |
MATH 160 | Calculus for Physical Scientists I (GT-MA1) | X | 1B | 4 | |
STAT 192 | First-Year Seminar in Statistics | X | 1 | ||
Diversity, Equity, and Inclusion | 1C | 3 | |||
Historical Perspectives | 3D | 3 | |||
Total Credits | 14 | ||||
Semester 2 | Critical | Recommended | AUCC | Credits | |
MATH 161 | Calculus for Physical Scientists II (GT-MA1) | X | 1B | 4 | |
STAT 158 | Introduction to R Programming | X | 1 | ||
STAT 315 | Intro 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 | ||||
Sophomore | |||||
Semester 3 | Critical | Recommended | AUCC | Credits | |
MATH 261 | Calculus for Physical Scientists III | X | 4 | ||
STAT 341 | Statistical 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 | 3A | 4 | |||
Total Credits | 14-15 | ||||
Semester 4 | Critical | Recommended | AUCC | Credits | |
STAT 342 | Statistical Data Analysis II | X | 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 | 3A | 3 | |||
Electives | 2-5 | ||||
STAT 341 and STAT 342 must be completed by the end of Semester 4. | X | ||||
Total Credits | 15-16 | ||||
Junior | |||||
Semester 5 | Critical | Recommended | AUCC | Credits | |
STAT 420 | Probability and Mathematical Statistics I | 3 | |||
STAT 472 | Statistical Research--Design, Data, Methods | 4A,4B,4C | 3 | ||
Arts and Humanities | 3B | 3 | |||
Social and Behavioral Sciences | 3C | 3 | |||
Electives | 3 | ||||
Total Credits | 15 | ||||
Semester 6 | Critical | Recommended | AUCC | Credits | |
STAT 430 | Probability and Mathematical Statistics II | 4A | 3 | ||
Upper-Division STAT/DSCI/MATH/CS Elective | 3 | ||||
Arts and Humanities | 3B | 3 | |||
Electives | 6 | ||||
STAT 420 and STAT 430 must be completed by the end of Semester 6. | X | ||||
Total Credits | 15 | ||||
Senior | |||||
Semester 7 | Critical | Recommended | AUCC | Credits | |
Upper-Division STAT/DSCI/MATH/CS Elective | 3 | ||||
400-Level STAT Elective | 3 | ||||
Electives | 9 | ||||
Total Credits | 15 | ||||
Semester 8 | Critical | Recommended | AUCC | Credits | |
Upper-Division STAT/DSCI/MATH/CS Elective | X | 3 | |||
400-Level STAT Elective | X | 3 | |||
Electives | X | 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 |