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  • Journalism Studies

    Module code: MS2010 In this module, we will develop some of the ideas introduced in The Production of News module, exploring contemporary and developing issues in the study of journalists and journalism and the context within which journalists work and news is produced.

  • Journalism Studies

    Module code: MS2010 In this module, we will develop some of the ideas introduced in The Production of News module, exploring contemporary and developing issues in the study of journalists and journalism and the context within which journalists work and news is produced.

  • British Heart Foundation open access policy

    British Heart Foundation open access polices

  • Journalism Studies

    Module code: MS2010 In this module, we will develop some of the ideas introduced in The Production of News module, exploring contemporary and developing issues in the study of journalists and journalism and the context within which journalists work and news is produced.

  • Know your zone

    Learn more about the zones and areas in the David Wilson Library at the University of Leicester.

  • Message from the Head of College and Dean of Medicine

    Our Pro-Vice-Chancellor, Head of College and Dean of Medicine, Tom Robinson , welcomes you to the College and to Clinical Academic Training at Leicester.

  • Data on child poverty

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on August 17, 2012 The TransMONEE database: Data on children in Central and Eastern Europe and the Commonwealth of Independent States: this database is associated with with the UNICEF MONEE project on...

  • In vivo services

    Our in vivo services support the smooth running of all research and studies relating to experimental research and research using animals.

  • 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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