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Computational Mathematics

Learn how to combine advanced mathematical modelling approaches with powerful computational solution techniques whilst gaining a highly regarded postgraduate qualification that meets the needs of today's working environments across many industries.This course delivers an outstanding combination of advanced application-oriented mathematical concepts and computational methodologies. Broad in scope and genuinely multidisciplinary in nature, it is based on solid and well-founded mathematical theory.

Entry requirements

A 2.2 Bachelors degree or above in mathematics or a closely related discipline with significant mathematical content on an appropriate level, or equivalent, or significant work experience in a management or supervisory position.

Course modules

Modules include: optimisation; scientific computing; studying at masters level and research methods; networks and algorithms; nonlinear system dynamics; stochastic processes; independent scholarship.

Assessment methods

Assessments on this course are principally based on coursework, which gives students the possibility to independently investigate relevant topics.


Qualification Study mode Start month Fee Fee locale Course duration
MSc Full-time September 2018 630 (Module) Home/EU 1 1 Years
MSc Full-time September 2018 13,500 (Whole course) International 1 1 Years
MSc Full-time January 2019 630 (Module) Home/EU 1 1 Years
MSc Full-time January 2019 13,500 (Whole course) International 1 1 Years
MSc Part-time January 2019 630 (Module) Home/EU 2 2 Years
MSc Part-time September 2018 630 (Module) Home/EU 2 2 Years

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