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105 Full-time Master's degrees in Computational Mathematics

Biomedical Engineering (Computational Bioengineering)
Apply mathematical models and techniques to biological data to improve our understanding of how organisms function and how diseases progress on Biomedical Engineering (Computational Bioengineering) programme offered at Imperial.

Applied Mathematics
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.

Maritime Engineering Science Advanced Computational Engineering
Study the latest maritime techniques, methods and software at the Maritime Engineering Science Advanced Computational Engineering MSc course offered by University of Southampton. Learn the theory and practice behind maritime computational engineering science as you take on practical design tasks and prepare how to work effectively with industry.

Mathematics
Are you a problem solver? Do you enjoy finding patterns and discovering new solutions to complex problems? If so, mathematics might be the perfect field for you! It combines the power of mathematics with the speed and precision of computers to solve real-world problems in fields such as engineering, (medical) data science and logistics.

Artificial Intelligence
This Artificial Intelligence programme from Manchester Metropolitan University is now essential to how businesses and institutions operate.

Aerodynamics and Computation
The Aerodynamics and Computation MSc course offered by University of Southampton focuses on numerical methods and the physics and computation modelling of turbulence. It will enhance your knowledge of flow physics and your ability to use state-of-the art computational tools to improve industrial designs.

Natural Computation
Immerse yourself in the field of natural computation with the Natural Computation course from University of Birmingham. You'll develop a strong foundation for a research and development career in industry or academia.

Applied Mathematics and Computing
The Applied Mathematics and Computing programme from Manipal Academy of Higher Education focuses on providing strong foundations in computational and application oriented mathematics. The M.Sc. course also offers many open electives in specialized areas of mathematics.

Computational Engineering
Master high-demand skills such as computational techniques, machine learning, numerical methods, optimisation, and high-performance computing, preparing you to tackle with the Computational Engineering course at The University of Exeter is an interdisciplinary programme.

Architectural Computation
The Architectural Computation programme offered at the UCL explores this question through the lens of architecture, AI, construction technologies, and human-computer interaction.

Computational and Applied Mathematical Sciences
Big Data! Those two words describe one of the new hot topics in mathematical sciences. The Computational and Applied Mathematical Sciences programme at University of Canterbury will give you access to this, and other fast growing areas of computational mathematics and statistics.

Applied Quantum Computing
The Applied Quantum Computing programme from University of Surrey is designed to train these professionals. The first such course in the UK dedicated to the subject, this is a truly interdisciplinary programme which welcomes not just physicists and computer scientists but graduates from a range of other disciplines such as engineering and economics.

Applied Mathematics and Computational Science
The Applied Mathematics and Computational Science program from King Abdullah University of Science and Technology (KAUST) enables students to address models of physical and biological systems such as electromagnetic and acoustic waves, human and animal physiology, mechanics of complex solids, as well as the branches of science dealing with social, economic and financial behavior.

Applied Computational Fluid Dynamics
The MTech Program in Applied Computational Fluid Dynamics is designed to cater to the increasing demand for CFD specialists having practical and technical knowledge. Manipal Academy of Higher Education offers the Applied Computational Fluid Dynamics programme.

Applied Statistics - Pre-Master's Programme
This one-year (2-semester) programme offers successful students guaranteed progression to a postgraduate degree at a top UK university. Learn more at the Applied Statistics - Pre-Master's Programme at OnCampus London from Birkbeck, University of London.

Quantum Computer Science
The Quantum Computer Science course from University of Amsterdam will suit you if you have a strong taste for physics, mathematics or computer science.

Mathematics
In this two-year, research-based Mathematics programme at the University of Amsterdam you deepen your mathematical knowledge by specialising in a mathematical area of your interest. You may also study related disciplines such as Physics, Logic, Econometrics and Computational Science from a mathematical perspective.

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.

Mathematics
This programme equips you with a command of numerical accuracy and versatility. You will not only be an all-around mathematician, but also a specialist in either pure or applied mathematics, able to analyse complex mathematical problems, design solutions, supervise their realisation, and communicate mathematical concepts to fellow mathematicians and non-specialists alike.

Data Science and Advanced Analytics, with a specialization in Data Science
The Master's in Data Science and Advanced Analytics, with a specialization in Data Science at Universidade Nova de Lisboa is aimed at technically oriented people with solid scientific background, who want to strengthen and deepen their skills on the most used paradigms and environments for software development, and apply them to solve complex real-world problems involving vast amounts of data.