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  • Ecology, Climate and Land-use processes of the Amazon Tropical Forests

    Module code: GY3440 This module focusses on modern concepts in ecology and the connections between climate and land-use processes. The module aims to understand, quantify and predict the future of the Amazon forests in a changing world.

  • Topics in Professional Psychology

    Module code: PS2108 In this module, you will learn about how your psychological expertise can be applied to understanding human behaviour in occupational, educational, clinical and forensic settings.

  • Politics of Contemporary War and Conflict

    Module code: PL3116 The character of war has significantly changed in recent times. Concepts such as cyber warfare, private military contractors and 'remote control warfare' are far removed from the trenches and cavalry of the First World War.

  • Heritage and Culture

    From arts and culture to life-changing global events, our researchers examine what has shaped our society as we know it.

  • Mukund Janardhanan

    The academic profile of Dr Mukund Janardhanan, Lecturer, Director of Education at University of Leicester

  • Georgiana Grigore

    The academic profile of Dr Georgiana Grigore, Associate Professor in Marketing at University of Leicester

  • Dr Guihan Ko

    The academic profile of Dr Guihan Ko, Lecturer of Marketing and Innovation at University of Leicester

  • Clive D Fraser

    The academic profile of Professor Clive D Fraser, Professor of Economics at University of Leicester

  • Commercial Property

    Module code: LW3561 The module seeks to give you an understanding of the issues relating to land use policy, and the legal framework which regulates land development. You'll be looking at everything from the early stages of planning, to the building of properties.

  • Ecology, Climate and Land-use processes of the Amazon Tropical Forests

    Module code: GY3440 This module focusses on modern concepts in ecology and the connections between climate and land-use processes. The module aims to understand, quantify and predict the future of the Amazon forests in a changing world.

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