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14391 results for: ‘museum studies’

  • What can Critics of Management and Critics of Economics learn from each other?

    Posted by in School of Business Blog on February 19, 2014 Neil Lancastle, one of the School’s current PhD students, brings his experience of curricular reform in economics to bear upon the promises (and problems) of being “critical” in a School of Management.

  • Jennifer Smith Maguire

    Jennifer is Senior Lecturer in Cultural Production and Consumption. Her research focuses on the intersection of processes of cultural production and consumption in the construction of markets, tastes and value.

  • Politics and Sociology BA

    Leicester’s Politics and Sociology degree explore the links between politics and social issues and offers the flexibility to shape your course around your interests.

  • Introduction to Finance

    Module code: MN1019 The academic study of finance will introduce you to concepts and theories that underpin our entire economic system.

  • Introduction to Finance

    Module code: AF1019 The academic study of finance will introduce you to concepts and theories that underpin our entire economic system.

  • Before you arrive

    Checklists for what to bring to university – your accommodation, how to register, getting to Leicester, budgeting, and starting your studies.

  • A day in the life of an animal technician

    Read more about what a day is like for an animal technician in our DBS facility at Leicester.

  • Publications

    Take a look at the publications available to those studying European Law and Internationalisation at The University of Leicester.

  • Training apprentices: do small firms do it better?

    Posted by Dan Bishop in School of Business Blog on October 8, 2014 Dan Bishop, Lecturer in Employment Studies at the School, challenges the ‘large firm’ paradigm on which apprenticeship-oriented politics has conventionally been based Apprenticeships and small businesses have...

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

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