Statistics and Data Science Minor
The minor in Statistics and Data Science will give students experience manipulating, summarizing and visualizing data and applying statistical and machine learning methods. Students are exposed to the principles of and tools for conducting reproducible data analysis and are taught to think critically about relevant ethical issues (e.g., data privacy, misrepresentation of findings).
Total Hours Required: 15
Requirements
Requirements are listed in the table below. Additional requirements may follow the table, so be sure to read the entire page. Some required courses listed below may also satisfy General Education requirements, including Core Curriculum. Students should also review the University's Undergraduate Minor and Certificate Requirements and Policies.
| Code | Title | Hours |
|---|---|---|
| Foundational Area Courses | ||
| Hours chosen from: each of the following foundational areas | ||
| Statistics: | 3 | |
| Elements of Statistics | ||
| Elements of Statistics: Honors | ||
| Statistical Thinking | ||
| Data Science: | 3 | |
| Elements of Data Science | ||
| Introduction to Data Science | ||
| Programming: (credit earned through Credit by Examination (CBE) or transfer coursework with a letter grade of C- or better may be used to satisfy this requirement) | 3 | |
| Elements of Computers and Programming | ||
| Introduction to Programming | ||
| Introduction to Programming: Honors | ||
| Supplementary Courses and Areas | ||
| Hours chosen from: any of the following supplementary courses and areas | 6 | |
| Regression/Modeling: | ||
| Elements of Regression Analysis | ||
| Intermediate Statistical Methods | ||
| Time Series Forecasting | ||
| Machine Learning: | ||
| Elements of Statistical Machine Learning | ||
| Practical Machine Learning | ||
| Databases: | ||
| Elements of Databases | ||
| Probability/Mathematical Statistics/Statistical Inference: | ||
| Introduction to Probability and Statistics | ||
| Probability and Statistical Inference | ||
| Probability I | ||
| Introduction to Mathematical Statistics | ||
| Data Visualization: | ||
| Data Visualization | ||
| College Requirements - Natural Sciences | ||
| Undergraduate Minor and Certificate Requirements and Policies | ||
| Total Hours | 15 | |
Additional Requirements and Policy
- The minor requires 15 semester hours of coursework with a grade of at least C- in each course.
- No transfer credits, credit-by-exam, or CR courses may be used to fulfill minor course requirements unless otherwise stated in requirements.
- Please note: students who have taken SDS major restricted courses including SDS 313, SDS 315, SDS 431, SDS 334, and SDS 336 and who are no longer pursuing the SDS major may use those courses to fulfill minor requirements.