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About 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.
Computational Mathematics is essential for the use of many machines, systems and practices. Courses in this field emphasise increasing your understanding of modelling and algorithms, numerical methods and symbolic computations (the creation of algorithms and software for manipulating mathematical expressions).
You may wish to specialise your studies in a particular area of Computational Mathematics, such as computational optimisation and the development of networks and algorithms. These techniques may be applied to industries like robotics and aerospace.
Alternatively, you might specialise in mathematical modelling for purposes such as financial forecasting across a range of industries, particularly banking and insurance. Operational research is also a key component of the day-to-day running of most large corporations. You may be employed to assess the operations of business activities on a national or global scale, with the goal of increasing profits and reducing risk.
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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 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
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
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 vital that such computations are performed in a stable, efficient manner and that the numerics converge to the true solutions of the dynamics of the physics, chemistry or biology in the problem. Read more
Studying Mathematics at postgraduate level gives you a chance to begin your own research, develop your own creativity and be part of a long tradition of people investigating analytic, geometric and algebraic ideas. 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 programme allows you to further enhance your knowledge, creativity and computational skills in core mathematical subjects and their applications giving you a competitive advantage in a wide range of mathematically based careers. Read more
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