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  • Social Class and Inequalities

    Module code: SY2075 Debates around the Channel 4 programme 'Benefits Street' (2014) highlighted some of the problems with making 'poverty entertainment'.

  • Climate Change: Impacts, Vulnerability and Adaptation

    Module code: GY3432 "Climate change is destroying our path to sustainability. Ours is a world of looming challenges and increasingly limited resources." So said the then-UN Secretary-General Ban Ki-moon in 2012.

  • 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.

  • Linear Statistical Models

    Module code: MA2261 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.

  • Jurassic diet why our knowledge of what ancient pterosaurs ate might be wrong

    Whenever we think about extinct animals we often imagine them eating their favourite meals, whether it be plants, other animals or a combination of both.

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  • Talking points a range of topical issues tackled by academics 20 26 August

    Professor Martin Parker from the School of Management had written an article for The Conversation discussing the work practices of global company Amazon and its plans for expansion.

  • New play centres on Arch of Remembrance in Leicesters Victoria Park

    A play written, produced and performed by Leicester students will premiere at the Y theatre in Leicester on Thursday 28 and Friday 29 July.

  • Leicester and Cerner in new research partnership to improve healthcare

    Our University is partnering with Cerner, a global health informatics service provider, to understand how the integration of environmental data into a Population Health management system can help improve patient outcomes and communities’ health.

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