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 focus of the M.S. in Mathematics program is the development of sophisticated mathematical models and their implementation on high performance computing platforms. The curriculum features a balance of application, computation, and theory with particular emphasis in the areas of operations research, computational science, and the development of probabilistic and deterministic models. Areas of faculty and graduate student research activity include computational biology, computational finance, molecular dynamics simulation, operations research, optimization, and Ramsey theory. The program is particularly effective at preparing graduates to work in business, industry, or government as well as preparing students to continue on to the CSS Ph.D. or other Ph.D. program.
Student Learning Outcomes
- Students will understand mathematical or statistical models.
- Students will be able to construct and apply standard mathematical and statistical models.
- Students will be able to solve problems using appropriate software to implement the appropriate models.
- Students will be able to disseminate the results of their work 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.
Facilities and Services
The department offices are located in Architecture, Mathematics and Engineering 209.
Student Support and Engagement Opportunities
The department has graduate research and teaching assistantships and fellowships are available for a number of qualified applicants.