The University of Chicago’s Physical Sciences Division will launch the Master’s Program in Computational and Applied Mathematics (MCAM) in the fall of 2019. The coursework will provide the pillars of computational and applied mathematics, including physics-based modeling, data-based modeling, and scientific computing.
“The use of computational, mathematical, and statistical modeling has increased dramatically in recent years,” said Guillaume Bal, program director and professor in statistics and mathematics. “In-depth knowledge of the mathematical language that permeates essentially all current scientific areas is critical to success in many professional and academic careers.”
The program is hosted by the Committee on Computational and Applied Mathematics (CCAM). Students will work with faculty from the departments of statistics, mathematics, and computer science.
“Our faculty are engaged in interdisciplinary research areas such as geophysical and medical imaging, genetics, mathematical finance, econometrics, machine learning, scientific computation, and more,” said Bal. “Students will be exposed to a variety of applications for the skills they acquire.”
Students will graduate from the program prepared to pursue a PhD in computational and applied mathematics or other math-intensive applied sciences, or to pursue a professional career in fields such as data analysis, scientific computing, imaging, and engineering.
The program is now accepting applications.