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MSc (by Dissertation) Mathematical Biology

University of Essex

Our MSD Mathematical Biology uses novel mathematical and computational techniques to solve problems in the biological, ecological and environmental sciences. At Essex, we have supervised projects in the areas of animal movement and behaviour, population dynamics, plankton ecology, fisheries and natural resource management, and bioinformatics techniques. You are invited to contact our department to discuss other potential research areas in this field.

Our staff are strongly committed to research and teaching. They have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals such as; American Naturalist, Ecology, Journal of Mathematical Biology, Journal of Theoretical Biology, and Methods in Ecology and Evolution.

Our Department of Mathematical Sciences is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:

  • Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
  • We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
  • We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
  • Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
  • Our pure maths group are currently working on two new funded projects entitled “The Calabi problem for smooth Fano threefolds” and “Stability of Brunn-Minkowski inequalities and Minkowski type problems for nonlinear capacity”.
  • We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.

We also offer a PhD and an MPhil in this subject.

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Requirements

Listed below are the documents required to apply for this course.
2 years

Duration

Oct 2024

Start Month

Sep 2024

Application Deadline

Upcoming Intakes

  • October 2024
  • October 2025

Mode of Study

  • Full Time