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  • Meet the University of Leicester press office team

    The Press Office handles all external media enquiries for the University of Leicester from journalists and broadcasters. General enquiries for the Press Office can be handled using the details below.

  • Celebrating Black excellence: Nomination

    Find out more information on preservation in our archives and links to our archives privacy notice. If you would like your nomination to be preserved in our archives, please state that you have read and consent to our archives privacy notice in your email.

  • Education and CPD courses

    Continuing professional development is now an essential element of career development and helps to enhance job security and prospects.

  • Provost and Deputy Vice-Chancellor

    Find out more about our Pro-Vice-Chancellor and Head of the College of Social Sciences, Arts and Humanities.

  • Get involved

    Opening a completely new Institute for Digital Culture is a chance to work in new ways – sharing opportunity, providing multiple points of entry, and helping everyone to show up on their own terms.

  • Facilities

    Learn about the facilities available to you as a mature student, including the David Wilson library, our sports centres and our nursery.

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

  • Dora's story

    Dora Northern was born Dora Schutte in Berlin, Germany in 1923. When she was ten years old, Adolf Hitler and the Nazi Party came to power in her country. Dora lived in Germany until the end of the Second World War.

  • UNIversal Gym Membership

    The University of Leicester has signed up to the UNIversal Gym membership scheme with British Universities and Colleges Sports (BUCS).

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

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