The Applied Mathematics and Statistics emphasis applies to mathematical modeling, simulation and visualization, and high performance computing to specific scientific discipline.

Admission to the Applied Mathematics and Statistics emphasis areas requires knowledge of discrete mathematics, differential and integrated calculus for single and multivariable functions, linear algebra, differential equations, mathematical statistics, and knowledge of programming through data structures.

Applied Science, Applied Mathematics and Statistics, Ph.D. Curriculum

Contact Information

For more information, please contact the program administrator:

Dr. Ann Childers
[email protected]
501-916-6580
ETAS Room 410A