Course description
Duration
MSc 1 year full time.
Diploma 9 months full time.
Overview
The contribution of mathematical and computational modelling to the understanding of biological systems has rapidly grown in recent years. This discipline encompasses a wide range of life science areas, including ecology (e.g. population dynamics), epidemiology (e.g. spread of diseases), medicine (e.g. modelling cancer growth and treatment) and developmental biology.
Core modules include mathematical ecology, mathematical biology and medicine and applied linear algebra. There are many options to choose from, including those that provide complementary training in mathematical techniques, for example dynamical systems, approximation of continuous systems, optimization, PDEs, numerical methods and scientific computing, statistics and stochastics, as well as modules in bioinformatics and molecular biology. Typical projects include:
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Population cycles of forest insects
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The replacement of red squirrels by grey squirrels in the UK
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Vegetation patterns in semi-arid environments
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Modelling "Vasculogenesis" - formation of the blood flow network
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Wiring the Nervous System
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Efficiency of chemotherapy protocols
