Introduction to the Master's Program in Computational and Applied Mathematics

The University of Chicago’s Master’s Program in Computational and Applied Mathematics (MCAM) offers a comprehensive and up-to-date education in the main areas of computational and applied mathematics. These areas include data analysis, dynamical systems, linear algebra, machine learning, numerical methods, optimization, partial differential equations, and applied probability.

Program Overview

The master’s program is hosted by the Committee on Computational and Applied Mathematics (CCAM), with renowned faculty from the departments of statistics, mathematics, computer science, and many other departments in the Physical Sciences Division. Many faculty members are actively engaged in interdisciplinary research areas such as:

• Geophysical and medical imaging
• Genetics
• Mathematical finance and econometrics
• Machine learning
• Scientific computation

Courses and Requirements

MCAM students choose among the many introductory graduate courses offered to the CCAM PhD students. These courses cover traditional CAM physics-based modeling fields (dynamical systems, PDE) as well as more recent data-based modeling areas (data assimilation, machine learning) and their interactions, e.g., in uncertainty quantification. Master’s students are fully integrated in the academic activities of the department alongside the PhD students.

Degree Requirements

Students are expected to pass at least nine classes to be awarded the master’s degree. Full-time students can generally complete the requirements in nine months or more. For students interested in applying to a PhD in CAM or related fields, at the University of Chicago or elsewhere, there is the option of a master’s degree with thesis. This includes writing a thesis paper in addition to the above requirements and is ideally completed over two years.

Admission

The application deadline for Fall admission is typically in January of the same year. The program encourages applications from students interested in pursuing a master’s degree in Computational and Applied Mathematics.

University of Chicago Summary

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Overview:

The University of Chicago is a prestigious research university located in the Hyde Park neighborhood of Chicago. It is known for its rigorous academic programs, emphasis on independent thinking, and commitment to intellectual freedom. The university boasts a diverse community of scholars and students who contribute to groundbreaking research and advancements in various fields.

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Student Life and Campus Experience:

The university offers a vibrant campus experience with a diverse community, access to arts and culture, and a strong connection to the surrounding South Side neighborhood. Students can expect a challenging academic environment that fosters independent thinking and critical analysis.

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Key Reasons to Study There:

Rigorous academic programs:

The university is renowned for its challenging and intellectually stimulating curriculum.

Emphasis on independent thinking:

Students are encouraged to develop critical thinking skills and engage in original research.

Intellectual freedom:

The university provides a supportive environment for faculty and students to pursue their research interests without limitations.

Field-defining research:

The university has a long history of groundbreaking research and discoveries that have shaped various fields.

Global impact:

The university is actively involved in addressing global challenges through research, initiatives, and programs across the world.

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Academic Programs:

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Other:

The university is deeply connected to its surrounding community and invests in the South Side through initiatives in health, education, economic growth, and the arts. It also emphasizes its commitment to diversity and inclusion, fostering a welcoming environment for students from all backgrounds.