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  • Introduction to Management

    Module code: MN1033 This module explores the issues of planning, organising, leading, and controlling within contemporary organisations.  You will examine how managers coordinate resources to achieve strategic objectives.

  • Introduction to Management

    Module code: MN1033 This module explores the issues of planning, organising, leading, and controlling within contemporary organisations.  You will examine how managers coordinate resources to achieve strategic objectives.

  • Introduction to Management

    Module code: MN1033 This module explores the issues of planning, organising, leading, and controlling within contemporary organisations.  You will examine how managers coordinate resources to achieve strategic objectives.

  • Meet the team

    Learn more about the team of Chaplains working at the University of Leicester and how you can get in touch with them.

  • Marketing MSc

    This is for you if... you want to enhance your existing skills to become a successful marketing professional and gain an advanced knowledge of issues facing marketers today.

  • Marketing MSc

    This is for you if... you want to enhance your existing skills to become a successful marketing professional and gain an advanced knowledge of issues facing marketers today.

  • Chemical in red grapes may help prevent bowel cancer

    Resveratrol, a chemical found in red grapes, is more effective in smaller doses at preventing bowel cancer in mice than high doses, according to new research published in the journal Science Translational Medicine.

  • Project to challenge marginalisation of women in video game industry

    The marginalised status of women in the video game industry will be challenged by a new international research project involving Dr Alison Harvey from the Department of Media and Communication.

  • 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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