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  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Standing Together Against Hate new animation highlights the importance of challenging hate hostility and harassment in Higher Education

    Professor Neil Chakraborti, Dr Stevie-Jade Hardy and Dr Chris Allen from our Centre for Hate Studies will be leading a roundtable discussion on tackling hate crime in higher education at the British Society of Criminology Conference on the 5th July.

  • Analytical and support services

    The School of Geography, Geology and the Environment at the University of Leicester hosts a number of facilities to analyse various aspects of samples for geoscientific research. Analytical services are available together with the necessary expertise to interpret the results.

  • July 2019

    View the YouTube videos of the graduation ceremonies from July 2019 at the University of Leicester.

  • Easter eggs hot cross buns and the microorganisms that help create them

    With supermarket shelves filled with chocolate at this time of year, little thought goes into how the humble cocoa bean eventually becomes the popular Easter egg.

  • Latin Beginners (Level 1)

    Latin course for beginners at Leicester University

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

  • Training and development

    The AMF staff train users from across the university and industry in operating the electron microscopes and sample preparation techniques.

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

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