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  • Study abroad

    At the University of Leicester, MGeol students have the option of spending the third year of their degree studying at an overseas partner university. Current partners are the University of Arizona, USA and the University of Canterbury, New Zealand.

  • Feeding the Machine

    Victoria Szafara, University staff member has entered a piece entitled 'Feeding the Machine'.

  • About us

    Director - Anna Hansell, Co-Director - Karen Exley The Health Protection Research Unit (HPRU) in Environmental Exposures and Health is a partnership between the University of Leicester, UK Health Security Agency (UKHSA) and the Health and Safety Executive (HSE), the...

  • Hunting the silent killer

    Professor Jacqui Shaw is leading research into new ways of detecting and monitoring cancer through the development of liquid biopsies or blood based tests.

  • 2022

    Marian Whitaker, donor and supporter Dr Mike Le Bas, Honorary Fellow, Department of Geology Professor Annabelle Sreberny, former Director of the Centre for Mass Communication Research Anthony Pither, former Director of Music Dr Peter Mounfield,...

  • NC3Rs guidelines

    Find guidelines for how to report using animals in research in publications and other outputs from the NC3Rs.

  • Local History - People and their Homes

    Learn more about the Local History People and Their Homes programme that we offer to primary school children.

  • Fieldwork Skills for Professional Geographers

    Module code: GY1026 In this module you will gain basic skills that are critical to conducting fieldwork, including keeping a field notebook, observation skills, collecting, collating and presenting different types of data.

  • Environment, Nature & Society B

    Module code: GY1037 This module begins with a question that, at first, seems very straightforward, but in reality is quite complex: 'What is nature?'  Nature is something that seems so familiar but is elusive and can be difficult to pin down.

  • Applied Macroeconometrics

    Module code: EC7059 In this module you will study time series methods and analysis in time domain. Time series data is the sequence of observations constructed by sampling data at fixed time intervals, thereby tracking the underlying variable’s behaviour over time.

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