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  • Caring and the Law

    Module code: LW3301 Caring and the Law aims to explore whether, and if so how, law is structured around a version of the human person who is an independent, able bodied, autonomous individual.

  • Learning Technologies 1: Technology-Enhanced Learning

    Module code: ED7601 This module will give you a broad overview of technologies, their associated characteristics and the ways in which they can be used to foster different pedagogical approaches across different learning contexts.

  • Macroeconomics

    Module code: EC1001 Macroeconomics is the branch of economics that is involved in large scale economic factors that are involved in economic growth.

  • Critical Digital Geographies

    Module code: GY3425 This final year module will reflect critically on the changing predominant philosophies of GIScience over time.

  • Mathematical Modelling for Business

    Module code: EC3057 Business analytics is having a significant impact on the profitability of numerous business firms around the world and this module provides essential skills relevant to this field but also introduces you to the exciting field of mathematical modelling for...

  • History (Holocaust and Genocide Studies) MA

    This is for you if... you want to explore the cultural history and memory of crimes against humanity.

  • 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.

  • 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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