BS in Mathematics — Data Science Emphasis
Program Requirements
For the Bachelor of Science (BS) degree with an emphasis in data science:
Course | Title | Hours |
---|---|---|
Complete all courses in Group R 1 | 15 | |
Plus the two courses from the following list which must include MATH 646 | 6 | |
Introduction to Mathematical Data Analysis | ||
Mathematical Models | ||
Optimization Theory | ||
Plus two computer courses from the following list: | 6-8 | |
Introduction to Programming | ||
Object-Oriented Programming | ||
Data Structures | ||
Programming Paradigms | ||
Plus two statistics courses from the following list: | 6 | |
Elementary Probability and Mathematical Statistics | ||
Statistical Methods I | ||
Statistical Methods II | ||
Theory of Statistics I | ||
Theory of Statistics II | ||
Total Credit Hours | 33-35 |
1 | A list of courses in each group can be found at the beginning of the mathematics section of the catalog. |
Applied Learning
Students in the BS in mathematics – data science emphasis program are required to complete an applied learning or research experience to graduate from the program. The requirement can be met by completing one of the following:
- The student completes a thesis.
- The student attends a conference and presents at least a poster.
- The student performs outreach in the local school district.
- The student does a presentation in a venue involving members of the community, such as the Science Expo at Keeper of the Plains, or through participation in Math Circle, Pi Mu Epsilon or Math Awareness.
- The student carries out a research project followed by a seminar presentation.