Computational Science and Statistics (Ph.D.) - Data Science Specialization

Program Coordinator/Contact

Kurt D. Cogswell, Department Head
Donald Vestal, Associate Professor/Graduate Coordinator
Department of Mathematics and Statistics
Chicoine Architecture, Mathematics and Engineering Hallg 209, Box 2225
605-688-6196

Program Information

The Computational Science and Statistics Ph.D. program is designed to train students to integrate computational and statistical methodologies to formulate, model, analyze, and solve research problems of interest in a wide variety of applied and theoretical contexts.  The Data Science Specialization will emphasize curriculum and research programs that prepare graduates to support local, regional and national industry by analyzing large and complex datasets.

Student Learning Outcomes

• Understanding of models: Students will understand mathematical and statistical models.
• Construct and apply models: Students will be able to construct and apply standard mathematical and statistical models.
• Research: Students will be able to conduct research using appropriate software to implement these models.
• Disseminate research: Students will be able to disseminate the results of their research to others.
• Apply argument deconstruction: Students will be able to apply Argument Deconstruction in mathematics and statistics.
• Understand the ethical implications of professional actions in computational science, statistics, and other contexts. (Transferable Skill: Ethics - Moral Decision Making/Moral Reasoning)

Course Delivery Format

Courses will typically be delivered in on-campus classrooms, with occasional courses offered online.