Program Coordinator/Contact
Kurt Cogswell, Department Head
Department of Mathematics and Statistics
Architecture, Mathematics, and Engineering 209
605-688-6196
Program Information
The Data Science Specialization of the Mathematics degree program provides an outstanding educational experience to students interested in any of the wide range of excellent career or graduate school choices available in the data science. Graduates gain all the mathematical expertise associated with the B.S. in Mathematics degree program while simultaneously building substantial additional expertise in the mathematical, statistical, and computational methods of data science. Graduates are thus prepared for any post-graduation outcome including immediate entry into the professional world or further study in a pursuit of a Master’s degree or a Ph.D. in mathematics, statistics, or data science.
Student Learning Outcomes
Upon completion of the mathematics major, students should be able to:
- Demonstrate competence in all core areas of undergraduate mathematics.
- Develop strength in the mathematical, statistical, and computational methods of data science.
- Use contemporary data science-specific data analysis and presentation software.
- Apply research methods to data science problems.
- Communicate the results of data analysis clearly and succinctly in writing.
- Articulate complex quantitative ideas to an audience.
Academic Requirements
A grade of “C” or above is required in all Math courses.
Course Delivery Format
Program courses are delivered on campus, in classroom and laboratory settings, and online.
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