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  • DeadlineStudy Details:

    MSc: 1 year full-time, 2 – 3 years part-time PgDip: 9 months full-time

Course Description

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.

The programme is designed to equip students with the skill to perform efficient and accurate computer simulations in a wide variety of applied mathematics, physics, chemical and industry related problems.

Entry Requirements

Entry is aimed at graduates with strong mathematical knowledge and skills. A good honours degree in mathematics, statistics or a related subject with a substantial mathematical content is desired.

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Fees

https://www.hw.ac.uk/study/fees-funding.htm

Module Details

Core courses:

  • Modelling and Tools;
  • Stochastic Simulation;
  • Applied Linear Algebra;
  • Numerical Analysis;

Optional Courses:

  • Dynamical Systems;
  • Optimization;
  • Partial Differential Equations;
  • Numerical Analysis of ODEs;
  • Applied Mathematics;
  • Statistical Methods;
  • Functional Analysis;
  • Software Engineering Foundations;
  • Mathematical Biology and Medicine;
  • Biologically Inspired Computation;
  • Advanced Software Engineering;
  • Geometry;
  • Bayesian Inference;

Typical project subjects:

  • Simulation of Granular Flow and Growing Sandpiles;
  • Finite Element Discretisation of ODEs and PDEs;
  • Domain Decomposition;
  • Computational Spectral Theory;
  • Mathematical Modelling of Crime;
  • Mathematical Modelling of Micro-electron Mechanical Systems.
  • Can we Trust Eigenvalues on a Computer?

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