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
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
Students will understand mathematical and statistical models.
Students will be able to construct and apply standard mathematical and statistical models.
Students will be able to conduct research using appropriate software to implement these models.
Students will be able to disseminate the results of their research to others.
Students will be able to apply Argument Deconstruction in mathematics and statistics.
Course Delivery Format
Courses will typically be delivered in on-campus classrooms, with occasional courses offered online.