Kurt D. Cogswell, Department Head
Donald Vestal, Associate Professor/Graduate Coordinator
Department of Mathematics and Statistics
Architecture, Mathematics and Engineering 209, Box 2220C
The CSS Ph.D. program is designed to train students to integrate computational and statistical methodologies to formulate, model, analyze, and solve research problems of interest to the natural, physical, and social sciences, including biology, chemistry, physics, engineering, geography/GIS, pharmacy, medicine, economics, and finance. Broadly speaking, the program has strong research components in biostatistics, bioinformatics, and computational methods. More specifically, the program leads to research in a variety of areas that may include: artificial neural networks and fuzzy logic modeling, biological modeling, bioinformatics, biostatistics, computational biology, computational chemistry, computational mathematics, computational statistics, computational physics, computational finance, computer science, data visualization and data mining, ecological modeling, spatial-temporal data modeling, and transport processes.
Course Delivery Format
Courses will typically be delivered in on-campus classrooms, with occasional courses offered online.