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  • Marketing Intelligence

    Module code: MK2026 Understanding marketing intelligence is crucial to successful marketing decision-making.  The study of marketing intelligence encompasses both the design of market/marketing research and the analysis of data.

  • General Relativity and Quantum Fields

    Module code: PA4609 Our current understanding of gravity comes from Einstein’s celebrated theory of General Relativity.

  • General Relativity and Quantum Fields

    Module code: PA4609 Our current understanding of gravity comes from Einstein’s celebrated theory of General Relativity.

  • Statistical Computing and Inference

    Module code: MD7453 This module provides an overview of approaches to statistical inference, both likelihood and Bayesian, applied to medical/health data and the use of statistical software packages.

  • General Relativity and Quantum Fields

    Module code: PA4609 Our current understanding of gravity comes from Einstein’s celebrated theory of General Relativity.

  • Oral history projects in Rutland

    Browse projects and oral history materials from Rutland, including the Heritage of Rutland Water, a project about England's largest man-made lake in its smallest county.

  • Political activism and disability in art

    Our University's new gallery at the Attenborough Arts Centre is to stage its inaugural exhibition from Wednesday 18 November 2015  to 17 January 2016.

  • Creative thinkers sought for event to tackle global problems

    Bright and innovative thinkers are being invited to our University for the first UK event outside of London known as Solve for X.

  • Research suggests exercise counteracts sitting time

    Office workers can stave off health problems associated with sitting down all day by regularly exercising, a new study from the Leicester Diabetes Centre has found.

  • PhD student wins prestigious photography competition

    Bacteria|University of Leicester student Louise Corscadden wins prestigious photography prize. PhD student Louise Corscadden from the University’s Department of Genetics and Genome Biology has been named winner of the 2018–2019 Infectious Images Photography Competition.

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