The program is offered jointly by the Department of Statistical Sciences and Operations Research and the Department of Mathematics and Applied Mathematics.
Graduates of the Systems Modeling and Analysis Ph.D. program will display knowledge and skills in the following five areas and will have knowledge of all the foundational areas of mathematical modeling.
- Conceptualizing real world systems as mathematical models using techniques from mathematics and/or statistics
- Performing mathematical or computational calculations on such models to achieve better understanding of the system
- Interpreting findings of such analysis and its implications for the system
- Communicating results effectively in written and oral form to both professional and academic audiences
- Performing independent research that combines techniques across disciplines
The Program Handbook of Requirements and Regulations contains information about GTA and DA responsibilities, policies, guidelines, and travel support. It is available by contacting the program director, Angela Reynolds, Ph.D., at email@example.com.