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  • Big Data and People Analytics

    Module code: MN3161 This module is designed to equip you with the knowledge and skills to harness the power of data for business and HRM.

  • Building dynamic, inclusive and socially purposeful museums and archives

    In collaboration with NCK, the Nordic–Baltic research and development centre based in Östersund, Sweden, RCMG offered a week-long course in October 2016 which explored how museums and archives can become more dynamic, inclusive and socially purposeful organisations.

  • Athena SWAN

    The Department of Cardiovascular Sciences at the University of Leicester is committed to providing a good working environment for its staff and in 2016 was successful in achieving a silver award.

  • Introduction to Functional Data Analysis

    Module code: MA7202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Introduction to Functional Data Analysis

    Module code: MA3202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • People

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  • Careers

    Career coaching As part of the PhD, students have exclusive access to a career coaching programme, developed with external collaborators and run in conjunction with the Wellcome Trust DTP at the University of Nottingham.

  • Plan how to get here

    Moving to the University of Leicester to start your degree? Work out how you (and your luggage) will get here.

  • Curves and Surfaces

    Module code: MA4152 Geometry is one of the oldest scientific disciplines. An understanding of the shape and size of objects has been, and continues to be, fundamental for advances in technologies and civilisation.

  • Introduction to Functional Data Analysis

    Module code: MA7202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

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