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Engineering

MS Computational and Applied Mathematics at University of Chicago

University of Chicago, United States

Programme overview

The MS in Computational and Applied Mathematics offers thesis and non-thesis options and can be finished in as little as nine months. Students choose at least one of two tracks, Computational Mathematics or Applied Analysis and Modeling.

Faculty: Physical Sciences Division  |  Duration: As little as 9 months; 3-6 full-time quarters (thesis option ideally two years)  |  Study mode: full-time  |  Location: Chicago, IL, United States

What you will study

Core areas include analysis, numerical methods, optimization, scientific computing, PDEs, stochastic modeling and data-driven inference. Introductory graduate courses are shared with CAM PhD students (dynamical systems, PDEs, data assimilation, machine learning, uncertainty quantification), with electives across the Physical Sciences Division and an optional thesis.

Career pathways

Data science and machine learning, financial modelling, scientific research and engineering, computational biology and biostatistics, technology and AI, energy and climate science, operations research, government and policy analysis; graduates also enter PhD programmes.

Official programme page

Application information

Duration: As little as 9 months; 3-6 full-time quarters (thesis option ideally two years)

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