The Applied Mathematics and Statistics (AMS) department supports undergraduate and graduate degree seeking students in Computational & Applied Mathematics and conducts research in scientific computing, multivariate analysis, numerical analysis, spatial statistics, wave theory, biostatistics, multi-scale simulation, partial differential equations, inverse problems, nuclear science, uncertainty quantification and bio-mathematics.
Mathematics and Statistics are the building blocks for engineering and the sciences. Through extensive coursework, AMS students gain the knowledge and skills to succeed in a variety of career paths including computer information and software firms, energy systems firms, government agencies, consulting firms, engineering research labs and academic institutions, to name a few. As an example, the senior capstone engages our students in solving problems of practical applicability for potential employers. This course is designed to simulate an industrial job or research environment; in small teams, students work for a client, make weekly reports and present final written and oral reports. The close collaboration with potential employers and professors improves students' communication and time management skills and builds a sense of confidence.
For more information on the courses offered by our department or for a typical path through our curriculum, take a look at our course Flowcharts.