BS in Statistics
A degree in statistics opens doors to many other academic and professional fields, from economics to sports to politics. In the STEM-designated Bachelor of Science in Statistics program, students learn about the mechanics of statistical data and analysis, as well as how to apply that knowledge to real-world issues.
Majors complete core coursework in algebra and statistics, as well as four upper-level courses from topics such as Business and Economic Statistics, Applied Time Series Analysis and a variety of special topics.
"Majoring in statistics meant I didn’t have to pigeonhole myself. I use the statistical programming skills I gained at GW daily to contribute to research with a positive impact on real-world policies."
Rachel Hildrich, BS ’14
Senior Programmer Analyst, Mathematica Policy
Course Requirements
This Bulletin covers the degree requirements for students matriculating in the current academic year. Students who matriculated before the current year can find their requirements in the relevant archived Bulletin.
The following requirements must be fulfilled:
The general requirements stated under Columbian College of Arts and Sciences, Undergraduate Programs.
Program-specific curriculum—all courses in the major, including prerequisites, must be completed with a minimum grade of C-:
| Code | Title | Credits |
|---|---|---|
| Prerequisite courses: | ||
| MATH 1231 | Single-Variable Calculus I | |
| MATH 1232 | Single-Variable Calculus II | |
| MATH 2233 | Multivariable Calculus | |
| STAT 1051 | Introduction to Business and Economic Statistics (or equivalent) | |
| or STAT 1053 | Introduction to Statistics in Social Science | |
| STAT 1129 | Introduction to Computing (or equivalent) | |
| or CSCI 1121 | Introduction to C Programming | |
| Code | Title | Credits |
|---|---|---|
| Required courses in the major: | ||
| MATH 2184 | Linear Algebra I | |
| or MATH 2185 | Comprehensive Introduction to Linear Algebra | |
| STAT 2118 | Regression Analysis | |
| STAT 3119 | Design and Analysis of Experiments | |
| STAT 4157 | Introduction to Mathematical Statistics I | |
| STAT 4158 | Introduction to Mathematical Statistics II | |
| STAT 2183 | Intermediate Statistics Lab/Packages | |
| or STAT 4197 | Fundamentals of SAS Programming for Data Management | |
| Four approved upper-level courses, some of which, in special circumstances, may be taken in other departments. To assure a balanced program, departmental approval of electives is required for all majors. Some suggested electives are: | ||
| STAT 2112 | Business and Economic Statistics II | |
| STAT 3187 | Introduction to Sampling | |
| STAT 4181 | Applied Time Series Analysis | |
| STAT 4188 | Nonparametric Statistics Inference | |
| STAT 4189 | Mathematical Probability and Applications I | |
| STAT 4198 | Special Topics | |