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  • American Political Development

    Module code: PL3114 The politics of the United States is the scene of a bitter schism. The Republican and Democratic parties are arguably more divided than ever, and this is down to bitter division on fundamental issues in American society and foreign policy.

  • Advertising and Society

    Module code: MS7047 You’ll be exploring all aspects involved with advertising and media, from its origins and social impact to how agencies function.

  • What the Butler Saw

    Get more information about the ways in which we celebrated the 50th anniversary of What the Butler Saw by Joe Orton, for the Joe Orton: 50 Years On project.

  • Research opportunities

    We welcome organisations from policy, environmental practice and industry contacting us to discuss collaboration opportunities.

  • Blackboard

    Information on Blackboard, our virtual learning environment. You can access it from anywhere in the world, and it’s home to everything that you’ll need for your course.

  • Lucy Ferdous

    The academic profile of Dr Lucy Ferdous, Lecturer in Accounting at University of Leicester

  • Anglo-Saxon England to Alfred

    Module code: HS2301 You’ll be studying Anglo-Saxon England from 500–900 AD, this is the proto-historic ‘migration and settlement’ period through to the well-documented reign of King Alfred.

  • Earth Observation and Remote Sensing

    Module code: GY7028 Remote sensing is collecting data from a distance – without actually being there. We use remote sensing technologies such as satellites and aerial sensors for Earth Observation – to collect data about the Earth’s physical, chemical and biological systems.

  • Mergers and Acquisitions

    Module code: EC7162 Mergers and acquisitions (or M&A) is the consolidation of companies or assets. They are often a way for companies to increase performance, lower costs, diversify, grow, improve economies of scale or eliminate competition.

  • Game Theory in Computer Science

    Module code: CO4212 Modern computer science has to deal with large, heterogeneous networks in which a large number of autonomous agents interact. Often, such systems are not centrally planned, but evolve in a distributed fashion as a result of the interaction of agents.

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