Computational and Applied Mathematics
The Department of Computational and Applied Mathematics offers five programs of graduate study. Students may earn:
- Doctor of Philosophy (Ph.D.)
- Master of Arts (MA)
- Professional Masters of Computational and Applied Mathematics (MCAM) degree.
Additionally, the department co-sponsors interdisciplinary programs leading to
- Master of Computational Science and Engineering (MCSE)
- Joint MBA and Master of Engineering degree
Department specializations include Operations research, mathematical programming, discrete and continuous optimization, numerical linear, algebra, inverse problems, computational seismology, optimal design, partial differential equations, numerical analysis, computational neuroscience.
Graduate work in CAAM involves intensive course study in small classes, close interaction with professors, immediate opportunities to participate in seminars and to engage in research projects. We have weekly colloquia featuring experts from leading universities and research laboratories who describe their recent work in critical research areas. We offer opportunities for cutting edge research in inverse problems, discrete and continuous optimization, computational neuroscience, partial differential equations (PDE), PDE constrained optimization, and large scale numerical linear algebra. Our work is often highly interdisciplinary and involves interaction with all of the other departments within the School of Engineering.
For more information, please visit the Department of Computational and Applied Mathematics website, download the graduate study brochure, and the graduate program handbook.
Areas of Study
- Inverse problems
- Discrete and Continuous Optimization
- Computational Neuroscience
- Partial Differential Equations
- Large-scale Numerical Linear Algebra