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Stochastic Processes: Theory and Application MRes

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  • Study Type

    Full time & Part time available

  • Subject Areas

    Mathematics

  • Start Date

    September

  • Course Duration

    1 year full-time; 3 years part-time

  • Course Type

    MRes

  • Course Fees

    Please visit our website for the Stochastic Processes: Theory and Application course fee information.

  • Last Updated

    08 July 2019

The MRes in Stochastic Processes is delivered through optional modules for the taught course, followed by a substantial research project that explicitly contributes to the field, rather than applies existing knowledge. Your stochastic processes project will be shaped by participation in research activities such as seminars, workshops, laboratory activity and field work, as well as your involvement in one of our established research groups. Our mathematics research groups include:

• Algebra and Topology

Areas of interest – noncommutative geometry, categorical methods in algebra and

topology, homotopy theory and homological algebra.

• Analysis and Nonlinear Partial Differential Equations Areas of interest – reaction-diffusion and reaction-diffusion-convection, equations and systems, Navier–Stokes equations in fluid dynamic.

• Stochastic Analysis Areas of interest – functional inequalities and applications, Lévy-type processes, stochastic modelling of fractal, multifractal and multiscale systems.

• Mathematical methods in Biology and Life Sciences Areas of interest – mathematical pharmacology; heat and mass transfer models for plant cooling; modelling cellular signal transduction dynamics, mathematical oncology.

How you're supervised on the Stochastic Processes: Theory and Application course

Mathematics at Swansea hosts one of the strongest research groups in probability theory in the UK, especially in stochastic processes. Senior members of the group are world leaders in their fields.

Your work will be supported by expert staff and state-of-the-art facilities. This includes our new £32.5m Computational Foundry for computer and mathematical sciences.

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Visit the Stochastic Processes: Theory and Application MRes page on the Swansea University website for more details!

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