Research course

Mathematical Biology

Institution
University of Essex · Department of Mathematical Sciences
Qualifications
PhD

Visit the institution website for COVID‑19 updates

Entry requirements

We will consider all applicants with 2:2 or above, or equivalent international qualifications. For some courses, there may be additional requirements which can be found on our website.

Months of entry

October

Course content

Our PhD 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.

Holders of a such a PhD are ideally placed to continue a scientific research career as there is currently a shortage of mathematical expertise in biological, ecological and environmental research.

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 ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’.
  • 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 an MSD and MPhil in this subject, and part-time research study is also available.

Information for international students

You can find international entry requirements for most countries on our webpage www.essex.ac.uk/international. If your country is not listed, please contact Postgraduate Admissions at pgadmit@essex.ac.uk.

Pre-sessional English Language courses - If you need to improve your English language skills before joining your main degree course, we offer pre-sessional English courses on our campuses in partnership with Kaplan International Pathways. To learn more, please visit www.essex.ac.uk/international/pre-sessional

Funding - You can explore scholarship opportunities for your country at www.essex.ac.uk/international or view our university-wide scholarships at www.essex.ac.uk/scholarships.

Fees and funding

There are a wide range of funding options for postgraduate study, including scholarships, bursaries and alumni discounts. You can check your eligibility at https://www.essex.ac.uk/postgraduate/masters/fees-and-funding

Qualification, course duration and attendance options

  • PhD
    full time
    48 months
    • Campus-based learningis available for this qualification
    part time
    84 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Postgraduate Admissions
Email
pgadmit@essex.ac.uk