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  • Statistical Data Analysis

    Module code: MA2206 Statistics is the branch of mathematics that is used in the study of data, trends and uncertainties and is a fundamental aspect of data analysis for empirical scientists, mathematicians and engineers.

  • Business Microeconomics

    Module code: MA7411 The aim of this module is to introduce students to core microeconomic principles and how these can be used in a business environment to help decision making.

  • Modelling Data

    Module code: MA7442 In this module, we'll explore the world of machine learning models, which are the essential tools for deriving reliable conclusions from data.

  • How to apply

    Information on how to apply for your distance learning course at the University of Leicester.

  • American History since 1877

    Module code: HS1014  This module will survey the history of the United States since 1877, introducing students to key events, issues and themes as a basis for further specialised study in American history.

  • Regulation of Business

    Module code: EC7101 In this module you will study competition policy, the regulations which aim to bring about an increase in welfare by trying to ensure that competition in the marketplace is not restricted in ways that are harmful.

  • Statistical Data Analysis

    Module code: MA2206 Statistics is the branch of mathematics that is used in the study of data, trends and uncertainties and is a fundamental aspect of data analysis for empirical scientists, mathematicians and engineers.

  • Algebra

    Module code: MA2133 The module focuses on establishing the foundation for further study in algebra, and provides the essential knowledge to apply algebra across other areas in mathematics, science and engineering.

  • Business Microeconomics

    Module code: MA7411 The aim of this module is to introduce students to core microeconomic principles and how these can be used in a business environment to help decision making.

  • Modelling Data

    Module code: MA7442 In this module, we'll explore the world of machine learning models, which are the essential tools for deriving reliable conclusions from data.

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