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46 1 year Master's degrees in Computational Mathematics

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.
Scientific Computing and Data Analysis (Astrophysics)
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.
Operational Research with Computational Optimization
This Operational Research with Computational Optimization programme from The University of Edinburgh will show you how to use mathematical techniques to tackle real-life problems ranging from scheduling flights and routing mobile phone calls, over optimising power systems and logistic networks, to managing investments and minimising risks.
Mathematics and Computation
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.
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.
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.
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.
Predictive Modelling and Scientific Computing
Our Predictive Modelling and Scientific Computing MSc at the University of Warwick trains students in the theory and practical implementation of cutting-edge predictive modelling techniques, exposing them to established, as well as emerging, applications in science and engineering.