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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.

  • Management Accounting

    Module code: AF3052 For a company or a firm to make the best financial decisions and grow their business they need to make informed choices on what the best course of action is. This is where managerial accounting comes into play.

  • Management Accounting

    Module code: AF3052 For a company or a firm to make the best financial decisions and grow their business they need to make informed choices on what the best course of action is. This is where managerial accounting comes into play.

  • Management Accounting

    Module code: AF3052 For a company or a firm to make the best financial decisions and grow their business they need to make informed choices on what the best course of action is. This is where managerial accounting comes into play.

  • 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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