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Mathematics×

Masters Degrees in Computational Mathematics

We have 78 Masters Degrees in Computational Mathematics

Masters degrees in Computational Mathematics involve the application of advanced mathematical concepts to the computational processes which are in use across a range of industries.

Related subjects include Computational Applied Mathematics and Computational Finance. Entry requirements normally include an undergraduate degree in an appropriate Mathematics subject.

Why study a Masters in Computational Mathematics?

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The MSc in Mathematics has been designed for students who wish to build on their BSc in Mathematics, extending their range of mathematics expertise across a broader spread of topics, and demonstrating their literature research skills through an extended dissertation. Read more
The MSc Mathematics and Computing for Finance course has been designed to meet the growing demand for specially trained mathematicians to work in the world’s financial markets and insurance. Read more
Financial Mathematics is a branch of Mathematics where advanced mathematical and statistical methods are developed for and applied to financial markets and financial management. Read more
Learn how to combine advanced mathematical modelling approaches with powerful computational solution techniques. Gain a highly regarded postgraduate qualification that meets the needs of today’s working environments across many industries. Read more
The M.S. in Applied and Computational Mathematics program is designed to prepare students to join the workforce as a consulting mathematician or to pursue doctoral study in computational and industrial mathematics or other computationally-intensive field of study. Read more
Programme description. Computational Mathematics, in particular the physical applied areas and the theory and implementation of numerical methods and algorithms, have wide-ranging applications in both the public and private sectors. Read more
The ideas of applied mathematics pervade several applications in a variety of businesses and industries as well as government. Sophisticated mathematical tools are increasingly used to develop new models, modify existing ones, and analyze system performance. Read more
About the programme. In addition to being a science in its own right, mathematics plays a fundamental role in the quantitative areas of practically all other academic disciplines, particularly in the natural sciences, engineering, business administration, economics, medicine and psychology. Read more
Accurate and efficient scientific computations lie at the heart of most cross-discipline collaborations. It is key that such computations are performed in a stable, efficient manner and that the numerics converge to the true solutions, dynamics of the physics, chemistry or biology in the problem. Read more
The MSc in Computational Mathematical Finance (CMF) is a dynamic new programme with the aim to deliver high quality training in the theory of Mathematical Finance with strong emphasis on computational methods. Read more
This Masters degree provides you with knowledge of advanced finance concepts, whilst developing your quantitative, mathematical and research skills. Read more
The MSc in Data and Computational Science is designed for students from highly quantitative disciplines who wish to work in data analytics or computational science. Read more
This MSc teaches advanced analytical and computational skills for success in a data rich world. Read more
Postgraduate degree programme in Financial Engineering Masters/MSc. Read more

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