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Our people
Learn more about our team and their expertise in specific areas of risk, optimisation, finance and health. -
Research approaches
Our approaches range from mathematical operational research techniques through to qualitative research methods such as analytics, machine learning and system thinking. -
Work with us
Improve your business decisions with academic research. Find out how you can work with our experts in operational research, data science, business analytics and management science. -
Publications
Our projects have an impact in many different industries. Browse our publications to find out more. -
Research projects
Explore our research projects. -
Industry links
Learn about our links with industry and the courses we develop with our business partners. -
News
View our latest news. -
Seminars
View our upcoming and past seminars.
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CORMSIS MSc programmes
Join students from around the world and study one of CORMSIS’s six MSc programmes at the University of Southampton. -
CORMSIS PhD
Join CORMSIS, a top UK research group, to master optimisation, machine learning, and simulation. Conduct impactful research, collaborate with experts, and access cutting-edge facilities at the University of Southampton. Find your ideal PhD supervisor on our staff pages. -
MSc Project Examples
View a list of some past projects, set by our academic staff without specific company data or involvement, to give you an idea of the kinds of problems our students work on for their dissertation.
Discovering how to save cardiac patients' lives with deep learning
University mathematics expert Alain Zemkoho had worked on optimising decisions in areas such as transport. PhD supervision led to him and his team developing a way cardiologists can use hours, not seconds, of data provided by heart activity tests.
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Revolutionising access to dental care in Sri Lanka
A dentistry simulation model led by Southampton has directly influenced government policy to improve dental outcomes and stabilise the country's dentistry sector. -
Eliminating cloud shadow impact on Earth observation imagery
Project will improve quality of airborne data used in forestry, agriculture and environmental monitoring.