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  • Biological Evidence and Serology

    Module code: CH7901 This module covers the basic processes involved in crime scene investigation and processing.

  • Graduate Outcomes survey

    Explore the importance of the Graduate Outcomes survey for the future of education in the UK.

  • Leicester invites space enthusiasts to join the ‘new space’ revolution

    Leicester invites space enthusiasts to join the ‘new space’ revolution Leicester invites space enthusiasts to join the ‘new space’ revolution|Tickets now available for Leicester’s first SpaceUp ‘unconference’ taking place 17-18 November.

  • University statement on industrial action

    We are deeply disappointed that confirmed industrial action by members of the Leicester University and College Union (UCU) coincides with the start of the academic year.

  • School Research Seminars

    Find out more about our programme of internal research seminars

  • Students lightbulb moment helps capture stunning images at supersonic speeds

    A Leicester Engineering student has taken his handyman skills to a new level by repairing a piece of legacy teaching equipment using materials sourced at his local DIY store.

  • Tiny fossils unlock clues to Earths climate half a billion years ago

    An international collaboration of scientists, led by the University of Leicester, has investigated Earth’s climate over half a billion years ago by combining climate models and chemical analyses of fossil shells about 1mm long.

  • Leicester experts praise translation of diabetes risk-testing tool

    The translation of a tool to help people find out their risk of developing Type 2 diabetes has been described by Professor Kamlesh Khunti from the Diabetes Research Centre as a “breakthrough”.

  • Statistical Data Analysis

    Module code: MA7206 This module explores relationships between two or more variables through regression theory and generalised linear models.

  • Statistical Data Analysis

    Module code: MA7206 This module explores relationships between two or more variables through regression theory and generalised linear models.

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