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
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 | |