Statistics at University of Essex - UCAS

Course summary

Statistics is one of the most important fields of study in the world. The techniques we use to model and manipulate data guide the political, financial, and social decisions that shape our modern society. If you are a logical person and enjoy solving problems, statistics at Essex is for you. Our Department of Mathematical Sciences embraces statistics, data sciences, pure and applied mathematics, and statistics, and operational research. Our master program offers you the opportunity to study statistics alongside other mathematical subjects. Providing a balance of solid statistical theory and practical application, this course builds your knowledge in all areas of statistics, data analysis and probability. You will explore topics including:

  • Mathematical statistics
  • Applied statistics
  • Survival analysis
  • Time series
  • Stochastic process
  • Computing and coding in R
Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines. Our department has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology. We are 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.

Modules

You can tailor your learning experience with a choice of optional modules. More information about these can be found on the University of Essex website


Entry requirements

Entry requirements for this course can be found on the course finder on the University of Essex website – www.essex.ac.uk


Fees and funding

Tuition fees

England £10000 Year 1
Northern Ireland £10000 Year 1
Scotland £10000 Year 1
Wales £10000 Year 1
Channel Islands £10000 Year 1
Republic of Ireland £10000 Year 1
EU £21700 Year 1
International £21700 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Fees displayed are for 2024-25 entry. Fees for part-time courses are calculated pro-rata to the relevant full-time fee. Tuition fees may be subject to annual increases in each year of study in line with inflation.
Statistics at University of Essex - UCAS