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Mathematics and Statistics MPhil


Course Description

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!

Entry Requirements

Please see Course Description

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