Mathematics and Computational Science MSc

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Mathematics and Computational Science MSc

  • Entry requirements Entry requirements: The entry requirement to the programme is normally a good honours degree (or equivalent overseas qualification) in mathematics, or a science or engineering discipline with significant mathematical content.
  • Academic title Mathematics and Computational Science MSc
  • Course description Course description

    Nowadays research progress in science and engineering is acknowledged to depend on the three inter-related aspects of theory, experiment, and simulation.  Whilst the first two aspects tend to be more discipline-specific, progress in the third aspect (simulation) requires a cross-disciplinary approach. Expertise from the applied sciences, engineering, mathematics, and computer science must be brought together to make progress. With the improvement in computational power, scientists and engineers wish to solve ever more difficult mathematical models, incorporating uncertainty and multiple physical models, and demanding higher resolution in their simulations.  

    To satisfy these demands, the Schools of Mathematics and Computer Science at the University of Manchester offer an M.Sc. programme entitled "Mathematics & Computational Science".  The University of Manchester is exceptionally well-placed to provide this programme.  It has international research groups in all of the contributing disciplines: the end-user disciplines (computational chemistry, physics, materials science, earth sciences, engineering, etc.); applied mathematics and numerical analysis; and high performance computational science.  Add to this combination, the high performance computing equipment and support provided by Manchester Computing, and you find an excellent environment in which to study Mathematics & Computational Science.

    Career opportunities

    The programme prepares students for entry into a Ph.D. programme in mathematics, computer science, or one of the many science and engineering disciplines where computations are crucial. The programme develops many computational and analytical skills, which are valued by a wide range of employers. Specialist skills in scientific computing are valued in the science, engineering, and financial sector.

    Progression and assessment

    Assessment comprises course work, exams in January and May, followed by a dissertation carried out and written up between February and September. The dissertation counts for one half of the 180 credits and is chosen from a range of available projects, including projects suggested by industrial partners.

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