Minor Data Science Minor
This interdisciplinary minor in data science is focused on the analytical and ethical principles of data collection, data analysis, and the application of data in various domains. An interdisciplinary foundation is used to demonstrate the connections between phenomena studied by scientists and the impact of scientific data analysis on businesses and societies. The program includes coursework focusing on the principles of data analysis as well as coursework selected by students to apply those principles to topical domains.
Requirements
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses | ||
| DASC 300 | Foundations of Data Science | 3 |
| DASC 357E | Ethics and Data | 3 |
| Select two of the following: | 6 | |
| Programming Languages for Data Science | ||
| Introduction to Machine Learning | ||
| Business Analytics II | ||
| Health Services Research Methods | ||
| Applied Machine Learning in Cybersecurity | ||
| Web Science | ||
| Social Science and Crime Mapping | ||
| Capstone Research Project | ||
| Introduction to Game Development | ||
| Economics, Causality, and Analytics | ||
| Research Methods in Economics | ||
| Research Methods in Exercise Science | ||
| Advanced Visual Design and Digital Graphics for Games | ||
| Geographic Information Systems | ||
| Internet Geographic Information Systems | ||
| Tests and Measurement in Physical Education and Health | ||
| Introduction to Artificial Intelligence | ||
| Data Collection and Analysis in Oceanography | ||
| Quantitative Methods | ||
| Fashion Research | ||
| Introductory Data Analysis | ||
| Industrial Design | ||
| Total Credit Hours | 12 | |
For completion of a minor, a student must have a minimum grade point average of 2.00 in all courses specified as a requirement for the minor exclusive of lower-level courses and prerequisite courses and complete a minimum of six hours in upper-level courses in the minor requirement through courses offered by Old Dominion University.