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Mathematical Sciences

A student working in a library

The Maxwell Institute for Mathematical Sciences is a highly successful research partnership between Heriot-Watt and the Universities of Edinburgh. Producing consistently world-leading results, our research is ranked 3rd in the UK for Mathematical Sciences, based on the quality and breadth of our combined research in REF21*.

As one of the UK’s powerhouses in the Mathematical Sciences, our research-led teaching trains future mathematical scientists to contribute to mathematics in the UK, and to the global scientific community.

We work closely with the financial services industry via the Scottish Financial Risk Academy.

*The Research Excellence Framework (REF) is the UK’s system for assessing the quality of research in UK higher education institutions. The combined ranking cited is calculated by combining the Times Higher Education’s ratings for the Maxwell Institute, both University of Edinburgh and Heriot-Watt University, based on Research Power, the quality and breadth of our combined research.

Please see below for more information about our research activities. If you are interested in doing a PhD at Heriot-Watt in any of the research areas listed below please visit the PhD Opportunities in Mathematical Sciences page, where you will find information on how to apply and on many of the research projects that we offer.

Contact

School of Mathematical and Computer Sciences

Phone
+44 (0)131 451 3324

Our research groups

Analysis and probability

Analysis & PDEs Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Applied and computational mathematics

Applied and Computational Mathematics are at the forefront of advancing mathematical techniques to address complex real-world challenges.

Technology enhanced mathematical sciences education

It is crucial that innovative mathematical sciences research happens, but also research in how to communicate and educate mathematics better, from early years to higher education. This is our primary aim.

Data and decisions

As the world becomes increasingly data-driven and complex, the ability to harness large amounts of data to make informed decisions under uncertainty, is essential.

Structure and symmetry

Our research at the interface of mathematical physics and natural sciences, and where algebra, geometry and topology meet computer science.