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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).

  • Student work, skills and achievement

    History students at the University of Leicester attain a range of skills over the course of their studies. This page highlights some of our students' skills and achievements.

  • Twitter and government bodies

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on June 19, 2014 CIA launch Twitter account.   Their first post was ‘we can neither confirm or deny that this is our first tweet.

  • 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.

  • Rosemary

    Acne-Fighting Rosemary Toner Rosemary has a multitude of benefits outside the realms of gastronomy and gardening, specifically its beauty DIY potential.

  • Careers

    As a Leicester Geography postgraduate, we will help you prepare for your future career.

  • 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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