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  • Principles of Personal Taxation

    Module code: AF2083 In the UK an individual is required to pay taxes on all income they receive that meets the thresholds set out by the different levels of the government.

  • Global Film Culture

    Module code: MS2012 This module will explore and discuss some of the most important and exciting cinematic movements in the global history of the cinema, and evaluate some of the main ways these have been interpreted and understood by film critics and theorists – and we will...

  • Media Research Methods

    Module code: MS7400 During this module you’ll explore and assess many of the theories behind media research that you can apply to your own studies. You’ll start by exploring the basic concepts widely used in the research process, and the nature of the research process.

  • Politics of the International Drug Trade

    Module code: PL3142 The illegal drug trade has been estimated to take up almost 1% of all trade on Earth.

  • Pedagogy: Lead Module

    Module code: ED7314 (double module) This first module of the Pedagogy pathway creates a firm foundation for developing a deep and critical understanding of the dynamics of learning and teaching within and beyond the classroom.

  • Advanced Characterisation Techniques

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  • Advanced Characterisation Techniques

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  • A giant leap for student-kind

    Three of our students are going to boldly embark on a career-making opportunity to work on new space technologies with one of Europe’s leading space companies, OHB System AG.

  • I will always have a place in my heart for Leicester its academic influence and personal impact on how much I now believe in myself

    When it comes to making the most of your opportunities as a student, Eleanor Ferguson has done just that. This week, Eleanor will be graduating with a BA in History, but a degree isn’t the only thing that she will be taking away from her time at Leicester.

  • AI analysis of urine can predict flare up of lung disease a week in advance

    A University of Leicester-led study has used artificial intelligence (AI) to analyse patient urine samples and predict when symptoms of chronic obstructive pulmonary disease (COPD) will flare up according to a study published today in ERJ Open Research.

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