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  • Leicester academic provides expertise in Richard III-inspired design challenge

    Professor Sarah Hainsworth (pictured) from the Department of Engineering has provided architecture students at De Montfort University with her expertise to help them compete in a challenge to design a travelling exhibition space to tell the story of Richard III.

  • COVID-19 – fighting a global pandemic

    Our research experts have responded to the COVID-19 pandemic by applying their world-changing, curiosity-driven research to the fight.

  • Accommodation

    Browse University of Leicester accommodation and apply online.

  • Business Economics

    Module code: MA7433 The this module is to introduce you to core economic principles and how these may be used in a business environment to help decision making.

  • Business Economics

    Module code: MA7433 The this module is to introduce you to core economic principles and how these may be used in a business environment to help decision making.

  • Business Economics

    Module code: MA7433 The this module is to introduce you to core economic principles and how these may be used in a business environment to help decision making.

  • PostWorld Cup blues Delve into the history of the beautiful game

    If the World Cup final leaves football fans wanting more, then a free online course has the answer in the form of one of the beautiful game’s most unlikely success stories.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

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