104 Master's degrees in 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.

The MSc in Scientific Computing and Data Analysis (Astrophysics) at Durham University is a one-year full-time programme. This course equips students with essential skills in scientific computing and data analysis, focusing on astrophysics. It offers a comprehensive approach to tackling significant research challenges in fundamental science.

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.

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.

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.

The Mathematics and Computation programme at the London School of Economics and Political Science is a 12-month, full-time master degree. It bridges advanced mathematical theory with computational practice. Students develop expertise in algorithms and Python programming through public study in the heart of London.

The program offers a modern curriculum designed for those who want to work at the intersection of mathematics, mechanics, physics, and advanced computing. It prepares students to tackle complex challenges in fluid and solid mechanics, mathematical and numerical modeling, including the use of modern data-driven methods of machine learning and artificial intelligence (AI).

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. 

The Master of Science in Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is designed to develop expertise in data analysis and processing. This four-semester programme is available in both full-time and part-time formats, providing a comprehensive understanding of data analytics, machine learning, and artificial intelligence.

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.

Central South University offers a Master's degree in Mathematics (Computational Mathematics). As a national key university directly under the Ministry of Education of the People’s Republic of China, Central South University was established through the merger of the former Hunan Medical University, Changsha Railway University and Central South University of Technology on April 29, 2000.

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.

The Computational Science and Engineering Master’s Program at Izmir Institute of Technology, which is presented with a thesis, includes theoretical and applied studies that can contribute to the process of solving problems with mathematical modeling and simulation for problems that are tried to be solved in all areas of basic sciences and engineering. 

An English-taught Master’s program in Applied Mathematics and Computer Science, where students learn to construct computational models for technological and financial problems. The program integrates mathematical modeling, data analysis, optimization, machine learning, and scientific computing, and offers two research tracks: financial and technological.

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.

Computational and Applied Mathematics is the practice of employing mathematical techniques and approaches to the solution of real-world problems throughout STEM fields. Computational and Applied Mathematics is offered at University of the Witwatersrand, Johannesburg  

The Applied Mathematics MSc course offered at Imperial provides training in many different areas of applied mathematics, equipping you with a range of mathematical, modelling and presentation skills for problem-solving and research.

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.

The CENTURI Master of Computational and Mathematical Biology (CMB) at Aix-Marseille University aims to teach the analysis and the modelling of complex biological systems.

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.