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  • Sounds for the Future

    Find out more about the East Midlands Oral History Archive (EMOHA) and the University's Special Collections new project, 'Sounds for the Future'.

  • Podcast Series

    The ULSB Podcast Series aims to showcase the range of activities, expertise and work we do within the School of Business.

  • Digital and Social Media Journalism

    Information on the module 'Journalism across borders' as part of the Journalism MA course

  • Vicki Score BA MSc MCIfA

    Learn more about our Deputy Director of ULAS, Vicki Score.

  • Study reveals widening inequalities and missed opportunities in heart failure diagnosis

    A major study by Leicester researchers investigating the diagnosis and outcomes of more than 400,000 people with heart failure has found that diagnostic investigations in primary care were below guideline standards

  • Chemical in red grapes may help prevent bowel cancer

    Resveratrol, a chemical found in red grapes, is more effective in smaller doses at preventing bowel cancer in mice than high doses, according to new research published in the journal Science Translational Medicine.

  • Learn to speak Student

    A university is a self-contained little world with its own language and jargon, which you will pick up during your time here. Use this page to get up to speed with some of the essentials.

  • Project to challenge marginalisation of women in video game industry

    The marginalised status of women in the video game industry will be challenged by a new international research project involving Dr Alison Harvey from the Department of Media and Communication.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

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