Computational Science and Statistics (Ph.D.) - Statistics 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 Hall 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 Statistics Specialization will emphasize curriculum and research programs focusing on problems at the boundaries of effectiveness of current modern statistical methods.  Students in this specialization will received a multidisciplinary education combining the curriculums of the Mathematics and Data Science specializations.

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.