Graduates of the Ph.D. in Systems Modeling will display knowledge and skills in the following five areas:
Conceptualizing real world systems as mathematical models using techniques from applied mathematics, operations research, or statistics;
Performing mathematical or computational calculations on such models to draw conclusions, make decisions, or achieve better understanding of the system;
Interpreting findings of such analysis and its implications for the system modeled;
Communicating findings effectively in both written and oral form to both professional and academic audiences;
Performing independent research that combines techniques across the disciplines of applied mathematics, discrete mathematics, operations research, and statistics.
Graduates of the Ph.D. program will be expected to have knowledge of all the foundational areas of mathematical modeling.