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43 Master's degrees in Computational Mathematics in North America

Computational Applied Mathematics
Mathematics is a universal language. Applied mathematics combines the beauty and function of mathematics to help us understand and improve the world around us. Since mathematics is universal, it can be applied anywhere. The Computational Applied Mathematics is offered at California State University Fullerton.

Computational Decision Science and Operations Research
The Computational Decision Science and Operations Research programme from Illinois Institute of Technology meets the growing demand for computationally proficient decision scientists and operations researchers.
Applied and Computational Mathematics
The Applied and Computational Mathematics M.A. at St. John's University is a 33-credit postgraduate programme delivered in a public study mode. Over two years, students master data-driven decision-making and strategic risk assessment, bridging the gap between high-level theoretical mathematics and practical computation.
Civil and Environmental Engineering (Computational Mechanics and Scientific Computing)
The Civil and Environmental Engineering (Computational Mechanics and Scientific Computing) degree at Duke University develops efficient, precise algorithms to study and solve complex problems governed by the laws of mechanics.
Scientific Computing
The Scientific Computing M.Sc. at New York University offers rigorous training in mathematics and computer science for technical careers. This public programme focuses on advanced computer modelling and simulation. Students can study full-time or part-time, with most evening classes designed to suit working professionals.
Computational and Mathematical Engineering
The Computational and Mathematical Engineering programme at Stanford University provides an advanced academic foundation in technical disciplines. This full-time degree focuses on the intersection of mathematics and engineering. Students engage with rigorous coursework designed to foster innovation in complex problem-solving.
Biological and Computational Mathematics
The M.Sc. in Biological and Computational Mathematics at Augusta University is a comprehensive postgraduate programme delivered in a public study mode. Over four semesters, students master mathematical modelling to solve complex real-world problems, benefiting from research opportunities and accessible expert faculty.
Chemical Engineering - Data and Computational Science
The Chemical Engineering - Data and Computational Science program at Columbia University provides the MS candidate with an understanding of data science tools and computational modelling methods relevant to modern chemical engineering practice.
Applied and Computational Mathematics
An online master's degree in Applied and Computational Mathematics from Johns Hopkins University complements your knowledge with principles that can be applied to almost every discipline of science, engineering, industry, and technology—from defense technology and business to public policy and biomedicine.
Computational Mathematical And Statistical Sciences
The Computational Mathematical And Statistical Sciences programme at Marquette University is a Not Specified degree designed for STEM graduates. This 30-credit course offers full-time and part-time study modes, focusing on the simulation and application of models to solve complex scientific and engineering problems.
High-Performance Computing for Scientific Applications
The High-Performance Computing for Scientific Applications at Temple University will teach you to blend mathematics and science.
Applied and Computational Mathematics
These guidelines are intended to help familiarize graduate students in the Department of Applied Mathematics with the policies governing this degree. All the guidelines below apply to University of Washington's on-campus Master of Science in Applied and Computational Mathematics degree unless otherwise specified.
Applied and Computational Mathematics
The Applied and Computational Mathematics M.Sc. at Simon Fraser University provides advanced research training in modern mathematical techniques. This public programme offers thesis and course-based pathways, typically completed in five to six terms. It focuses on developing high-level analytical skills for science and industry.
Scientific Computing
The Scientific Computing program of University of Pennsylvania provides multifaceted education in the fundamentals and applications of computational science.
Computational Mechanics and Scientific Computing
The Master of Engineering in Computational Mechanics and Scientific Computing programme at Duke University emphasizes the use and development of modern numerical tools for model-based simulations such as finite element methods, uncertainty quantification procedures, and data analysis techniques, among others.
Computational Physics
The Computational Physics degree from California State University Long Beach provides a master’s degree programme that emphasizes the use of computers to solve problems in physics.
Quantitative and Computational Finance
The curriculum of the Quantitative and Computational Finance program at Georgia Institute of Technology is based on core classes offered from the School of ISyE, as well as electives offered by ISyE and other Georgia Tech schools in engineering and science.
Interdisciplinary Program in Computational Science, Engineering and Mathematics
The Interdisciplinary Program in Computational Science, Engineering and Mathematics MSc program from University of Texas at Austin is unique in its interdisciplinary emphasis, residing within the Oden Institute for Computational Engineering and Sciences, instead of within traditional academic departments.
Computational & Applied Mathematics
The Computational & Applied Mathematics master program at Old Dominion University offered by the Department of Mathematics and Statistics are designed to produce applied mathematicians and statisticians who can meet the growing demand for analytical and computational skills in traditional scientific and multi-disciplinary fields
Computational Finance
The M.Sc. in Computational Finance at Carnegie Mellon University is a professional programme delivered in a public study mode. This rigorous course integrates quantitative, statistical, and computational methods to prepare students for the data-driven financial sector, focusing on model implementation and economic forecasting.