The objective of the department’s Ph.D. program is to produce graduates who are broadly educated in Applied Mathematics and Statistics and who can work at the current research frontiers of their specialized disciplines.

The teaching and research programs of the Department of Applied Mathematics and Statistics span modern applied mathematics. The department’s curriculum in Probability/Statistics covers probability theory, stochastic processes, and applied and theoretical statistics. Its Operations Research/Optimization program includes continuous and discrete optimization, numerical optimization, network programming, and game theory. Its curriculum in Discrete Mathematics includes combinatorics, graph theory and cryptology and coding. Its program in Scientific Computing includes computing, numerical analysis, matrix analysis, and mathematical modeling of systems. The programs of the department together emphasize mathematical reasoning, mathematical modeling and computation, abstraction from the particular, innovative application of mathematics, and development of new methodology.

PhD Students in Applied Mathematics and Statistics can also choose Computational Medicine as a Concentration as part of a program established in partnership with the Johns Hopkins University Institute for Computational Medicine. Details about this program are described on this page.