Department of Mathematical Sciences

Scholarships and funding

Supporting your study

We offer many funding opportunities to support both undergraduate and postgraduate students, including a broad range of University of Essex scholarships.


Our range of scholarships and bursaries to support talented students ensures that we remain accessible to all with the potential to succeed, regardless of financial circumstances. 

We offer department-specific scholarships and you can also apply for University scholarships and funding. 

Alternatively search our scholarship finder to see the funding we have for you.

Selected undergraduate scholarships and awards

Mathematics Final Year Undergraduate Scholarship

We offer a scholarship of £500 to final-year single-honours students who have obtained an average of 70% or above in their second year. Joint honours students are eligible for a scholarship of £250.


Further Mathematics A-level award

We give you £250 if you are taking Further Mathematics A-level, and you:

  1. put Essex as your firm UCAS choice, and
  2. obtain an A*-B grade in Further Mathematics.

This award is in addition to any scholarship and is not affected by the grades you achieve in your other A-level subjects. 


Selected postgraduate scholarships and awards

Dowden Scholarship

The Dowden Scholarship, named after Professor John Dowden who was our University's first student in 1964 and is now the Emeritus Professor of Applied Mathematics, is designed to provide support for a small number of highly able students for a Master's degree (taught or research) who would not otherwise be able to study mathematics at Essex.

We have up to £5,000 worth of funding available, which may be awarded to one outstanding applicant, or be divided into smaller amounts for up to four eligible applicants.


Winsten Scholarship

The Winsten Scholarship is available to students applying to study on an MPhD (PhD) course in our Department and is awarded every three years. This will not be available for 2019-20.

The Winsten Scholarship is named after Professor Chris Winsten, who was an internationally renowned mathematician who worked at our University for more than 25 years. His reputation is based on his application of mathematical and statistical ideas to areas of economics leading to the eponymous Prais-Winsten transformation still used by modern economists today and to the groundbreaking Beckmann-McGuire-Winsten (1955) approach to transportation economics.

Chris had an intuitive geometrical approach that found solutions to difficult analytic problems. He left the bulk of his fortune to further the reputation of Essex mathematics.

University of Essex Doctoral Scholarships

Our University of Essex Mathematical Sciences Doctoral Scholarships support talented PhD students to study at our University.

These awards are available to students who can demonstrate an excellent academic background and the potential for future achievement, as well as financial need.

We are not currently accepting applications for these Scholarships.The information for 2019-20 will be released later this year.

Scholarships open to all students

Townsend Scholarship

Townsend Scholarships are available to help students who are experiencing financial difficulties. The scholarships were established by Elizabeth Townsend, in memory of her late husband Dr Paul Townsend, who worked in our Department of Physics for 30 years. Mrs Townsend now fundraises to support our students through public speaking and other fundraising activities with friends of Dr Townsend.

Please contact us if you think you may qualify as a student in financial difficulty.

Postgraduate Research Studentships

Faculty studentship: Automated monitoring of animal health and welfare

This collaborative project brings together experts in mathematical modelling, data analysis and animal behaviour and welfare.

Lead department: Department of Mathematical Sciences (in collaboration with the School of Biological Sciences)

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Faculty studentship: Demand scheduling and emission control in e-fulfilment

This project aims to bringing together revenue management (demand scheduling) and vehicle routing models to minimize emission by means of giving incentives to encourage customers to choose least emission time windows. It will also provide resolutions on the efficient usage of electric fleets in grocery delivery.

Department of Mathematical Sciences (in collaboration with the School of Computer Science and Electronic Engineering)

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Faculty studentship: Enhancing cognitive fitness and attention for active mathematical learning through neural engineering

This studentship will research and develop a new neuro-adaptive learning environment for mathematical education. The information technology (IT)-based learning environment will adapt the learning content based on the learner’s task performance and brain signals (electroencephalogram (EEG)).

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the Department of Psychology, and the Department of Mathematical Sciences)

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Faculty studentship: Text analytics with deep learning for predicting dynamic economic systems

The goal of the PhD studentship is to develop novel text analytics methods based on modern Deep Neural Networks. The novel text analytics methods will be applied to better understand and analyse the complexity of real-world activities and dynamics in socio-economic systems such as stock markets, health care services, innovation processes and others.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the Department of Mathematical Sciences)


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Faculty studentship: Towards a novel biomarker for pain: advanced analysis of oscillatory brain activity in healthy and chronic pain individuals

The present proposal focuses on electroencephalography (EEG) oscillations as a brain biomarker of pain, both in healthy individuals and chronic-pain patients. This project is a step forward as it proposes to study whether EEG oscillations can: (a) predict the unpleasantness of prolonged pain in healthy individuals and (b) predict ongoing pain in chronic patients.

Lead department: Department of Psychology (in collaboration with the Department of Mathematical Sciences)

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