Research course

Bio-Statistics

Institution
University of Essex · School of Mathematics, Statistics and Actuarial Science
Qualifications
MPhil

Entry requirements

You will need a good honours degree and a Masters degree in a relevant subject. A well-developed research proposal is also essential.

You may be required to attend an interview/Skype interview for acceptance, and acceptance is subject to research expertise in the department.

Months of entry

October

Course content

Our MPhil Biostatistics is a research degree within the School of Mathematics, Statistics and Actuarial Science. Our biostatistics team carries out research in statistical analysis, such as survival analysis, longitudinal analysis, Bayesian statistics, analysis of biological and behavioural data and spatial statistics, with collaboration areas including: clinical trials, genetics, infectious disease and data visualisation, but you are invited to contact the School to discuss other potential research areas.

Research links and joint projects with our University's School of Life Sciences, School of Health and Social Care and the Institute for Social and Economic Research, provide you with opportunities for collaborative 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; Biostatistics, Statistics in Medicine, BMC Women's Health, Methods of Information in Medicine, and Biometrical Journal.
Our School of Mathematics, Statistics and Actuarial Science 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 MSD in this subject.

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 www.essex.ac.uk/postgraduate/masters/fees-and-funding.

Qualification, course duration and attendance options

  • MPhil
    part time
    48 months
    • Campus-based learningis available for this qualification
    full time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Postgraduate Admissions
Email
pgadmit@essex.ac.uk