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Computation has become an essential tool in both experimental and theoretical advancement of science and engineering. Numerical simulation allows us to study complex systems that would be too expensive, dangerous or impossible to investigate experimentally. It is also the basis of all kinds of predictions in areas as varied as weather forecasting, financial analysis, risk management and climate change. The constant advance in computer hardware and simulation algorithms allows ever greater details and realism in computer output. Mathematics at Sussex has a very strong numerical analysis and computational mathematics component, and our faculty introduce you to the theory and practice of state-of-the-art computational methods. Links with local industry (ranging from engineering to financial companies) further enhance our programme. This MSc is aimed at those who have an interest in applied mathematics, computational sciences and technology. This is your programme of choice if you are looking to move into industry or mathematical finance, or to pursue further studies such as a PhD in applied mathematics or sciences. Programme Structure Autumn term: Numerical Linear Algebra plus either Introduction to C or Object-Oriented Programming. You also select two options from Advanced Robotics ? Complex Analysis ? Computational Fluid Dynamics ? Cybernetics and Neural Networks ? Mechanical Dynamics ? Monetary Theory Analysis ? Wavelets and Data Compression. Spring term: Finite Element Methods ? Numerical Differential Equations. You also select two options from Advanced Digital Communication ? Applied Mathematical Models ? Coding Theory ? Computer Simulations in Physics ? Functional Analysis ? Heat Transfer Applications ? Mathematics Models in Finance and Industry ? Neural Networks ? Partial Differential Equations. Summer term and vacation: you prepare a dissertation under the supervision of a member of faculty.

Computation has become an essential tool in both experimental and theoretical advancement of science and engineering. Numerical simulation allows us to study complex systems that would be too expensive, dangerous or impossible to investigate experimentally. It is also the basis of all kinds of predictions in areas as varied as weather forecasting, financial analysis, risk management and climate...

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