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  • Svetlana Aleksandrova

    The academic profile of Dr Svetlana Aleksandrova, Assistant Professor at University of Leicester

  • Game Theory

    Module code: EC2043 Game theory provides a powerful and flexible set of tools for analysing strategic interactions in Economics and beyond.

  • Year in industry

    Our programme offers a year in industry option, allowing you to gain professional experience of working in a sector related to your course.

  • 2023

    His Honour David Brunning, member of Council and Court Graham Benskin, former Senior Botanic Gardener David Johnson, Honorary Fellow in History and former Dean of Arts Emeritus Professor Ron Whittam, former Dean of the Faculty of Science Roy O Davies,...

  • Game Theory

    Module code: EC2043 Game theory provides a powerful and flexible set of tools for analysing strategic interactions in Economics and beyond.

  • Scientific Computing

    Module code: MA7012 This module will introduce you to the numerical approaches employed to tackle scientific problems, including applications in engineering and physics.

  • Year in Industry (optional)

    Our programme offers a year in industry option, allowing you the opportunity to gain professional experience by of working in a sector related to your course, whilst developing workplace skills and building a network with people in industry.

  • Adrianna finds her calling talking internet safety with Leicesters young people

    Teaching school children about the importance of staying safe online has inspired final year Criminology student Adrianna to pursue a career in the criminal justice system that will involve working with children.

  • Expert panel examines changing attitudes towards the European Union

    Dr Simona Guerra from our School of History, Politics and International Relations recently helped to organise an event as part of her current Visiting Fellowship position at the LSEE Research on South Eastern Europe (May-December 2017) examining changing attitudes towards...

  • Spotlight on SLAIDER -- Self-learning AI-based digital twins for accelerating clinical care in respiratory emergency admissions

    SLAIDER is a £620k project running from 2023 to 2025 and funded by the EPSRC. To provide more context on the project, the team was asked several questions about SLAIDER and how it could impact real-life clinical care.

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