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Course content

Supervision available; research specialisms of staff fall within following major areas: technology in mathematics education; teaching and learning of mechanics; medical image processing; missing and coarsened data; spatial and temporal modelling; modelling environmental flows; rheology; non-linear elastic materials; magnetic recording; model-based approaches to statistical disclosure limitation; applied fluid dynamics; particle physics and gauge theories; twister theory; graphs and knots.

Entry Requirements
Masters degree by a UK university or a degree of a non-UK institution deemed to be of equal standing to a UK degree; or a 1st class or 2nd upper class first degree award by a UK university or a degree of a non-UK institution deemed to be of equal standing to a UK degree; or a professional qualification recognised as equivalent to a degree; or other qualifications and experience that have demonstrated that the applicant can meet the challenges and demands of the programme, and 2 satisfactory reports from academic referees; verbal or e-mail references may not be accepted; applicants may also be asked to provide an example of written work.

Visit the Mathematics and Statistics MPhil page on the Plymouth University website for more details!

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