Coronavirus (COVID-19) update - Department of Mathematics
The Department will be teaching all its programmes as closely as possible to normal in 2020-21. Term will start on 28th September, and on campus all possible teaching will be face-to-face, with online alternatives (or a mix) where necessitated by social distancing, and to support students who are vulnerable or, for whatever reason, cannot travel to York. We will provide flexible teaching to accommodate all students' circumstances, even if these change through the academic year. On all programmes, for new students and for those returning to York, we aim to retain our friendly atmosphere, personal contact and small-group teaching, whether or not you are here in person.
Professor Niall MacKay, Head of Department, June 1, 2020
If you have an urgent query please make contact with one of the following teams:
- firstname.lastname@example.org for Assessments, Exams and Exceptional Circumstances. Please also consult our list of FAQs
- email@example.com for any other student related enquiries
- firstname.lastname@example.org for non student related enquiries
- You can also contact our academic staff via email
For information on how the University is dealing with COVID-19, please check the Coronavirus webpages.
We are a community of mathematicians from all over the world, engaged in world-class research and committed to excellence in teaching with a special emphasis on small groups and a friendly atmosphere. You can find out more about the department here.
Professor Niall MacKay, Head of Department.
Monday 6 July 2020
Prof. Degui Li is beginning work on a new research project looking at modelling high-frequency data in financial economics.
Monday 15 June 2020
A consortium led by National Physical Laboratory (NPL) with academic collaboration from University of York's departments of Physics and Mathematics, has been awarded £2.8 million in the recent Innovate UK competition
Monday 15 June 2020
The University of York and its partners are using quantum physics to improve the security of systems used to generate random numbers.
PhD studentship in Pattern Recognition for Protein Crystallisation Strategies
We support the principles laid out in the London Mathematical Society Good Practice Scheme, and aim to create an inclusive, mutually supportive community which enables everyone to do their best work and where everyone is treated with dignity and respect.
We hold the Bronze Award of the Athena SWAN programme for women in science.