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  • Management Science

    Module code: AF3057 This module will start to apply scientific principles to problems faced by businesses and give you the chance to use your economic principles, theories and analytical skills to solve these problems.

  • Core participants

    Meet the core team of eight participants from the University of Leicester and the University of Cape Town involved in the Crossing Boundaries project.

  • Department of Transtemporal Studies closes its doors due to unforeseen circumstances

    After many years of studying the future, the Department of Transtemporal Studies has now closed due to 'unforeseen circumstances'.

  • Sarah Wood

    Assistant Archivist

  • Licence to Kill? Managing with Violence

    Posted by Gibson Burrell in School of Business Blog on May 6, 2015 Former Head of School, Professor Gibson Burrell , uncovers a series of uncomfortable parallels between managerialism and the militaRy At first sight, it appears as if the discipline of ‘business and...

  • The Village

    With its buzzing social life and wide choice of accommodation, The Village is very popular with freshers. It’s an excellent place to settle into University life and make new friends.

  • Media, Culture and Society MA

    This is for you if... you are interested in studying media, communication and sociology at an advanced level and learning from some of the leading researchers in this academic field.

  • 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.

  • 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.

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