Master of Science in Computational and Applied Mathematics
- Applied Science
- Confers Alumni Status
Get in-depth knowledge of the pillars of computational and applied mathematics, covering physics and data-based modeling, and scientific computing.
The Master’s Program in Computational and Applied Mathematics (MCAM) offers a comprehensive, up-to-date education in the main areas of computational and applied mathematics such as data analysis, dynamical systems, linear algebra, machine learning, numerical methods, optimization, partial differential equations, and applied probability. This includes data analysis, scientific computing, imaging, and many of today’s engineering fields.
Designed for students who wish to continue their studies in a PhD program in CAM or other math-intensive applied sciences, or to pursue a professional career in an area where mathematical expertise is paramount. The minimal prerequisites for the master’s program are a solid background in multivariate calculus, linear/matrix algebra, and elementary probability and statistics.
Offered by the University of Chicago’s (opens in new tab) Committee on Computational and Applied Mathematics, (opens in new tab) Department of Computer Science and (opens in new tab) Department of Mathematics.