This Masters degree is designed to build on your existing mathematical skills, and it allows you to both broaden and deepen your understanding of the branches of mathematics which interest you most.
Our work on statistical methods develops new ideas for statistical estimation, inference and quantification of uncertainty. With the increasing importance of modern data science and “big data”
We carry out research in the areas of probability, financial mathematics, data science, statistics and statistical bioinformatics. We collaborate with other subject areas across the University
Our research is concerned with solving challenging equations that describe interesting and important problems. As well as conducting research in the foundations of applied mathematics, the department
Day to day human mobility is shaped by decisions on activities and consumption. These mobility choices include when, where and how to travel; and impact the demand and utilization rate of public
Mathematical modelling of the behaviour of drivers and other road users, especially in multi-agent interactions and near-crash situations. Use of modelling concepts from psychology and cognitive
The Modern Applied Statistics Group is embedded in LIDA and has formed successful partnerships in the energy and healthcare industries as well as the public sector, such as Leeds City Council.
Research in this group is carried out within the following areas: Probability and financial mathematics, Modern applied statistics, Statistical methodology and probability. We have internationally
Theoretical Computer Science forms the foundations of computing. One of its primary aims is to provide a mathematically grounded theory for developing sophisticated algorithms for real-world
Full Time
4.3