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14030 results for: ‘museum studies’

  • Professional Development

    This module is facilitated using a range of approaches delivered in the main in multi-professional groups that include students from Physiotherapy, Midwifery and Nursing as well as single-profession groups.

  • Professional Development

    Module code: NU1020 This module is facilitated using a range of approaches delivered in the main in multi-professional groups that include students from Physiotherapy, Midwifery and Nursing as well as single profession groups.

  • 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.

  • Before you arrive

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

  • Scientist to share lifetime of adventures in free talk

    Leading scientist, author and University of Leicester alumnus speaks on his 50-year career

  • Maintaining eligibility

    In order to continue receiving your loan, or to re-apply for a loan in the next academic year, you need to maintain your eligibility as set out by the lender and to meet the criteria set out below.

  • Past research topics

    Browse a list of former Leicester Law School PhD students and find out more about the research they undertook whilst at the School.

  • Leicester maths graduates awarded fellowships with National Institute for Health and Care Research

    Two University of Leicester graduates have been awarded fellowships with the National Institute for Health and Care Research (NIHR). Rahma Said and Mahfuza Anisa both studied BSc Mathematics and graduated at De Montfort Hall last month.

  • A Day in the Life: Convicts on board Prison Hulks

    Posted by Carrie Crockett in Carceral Archipelago on October 10, 2017   By Anna McKay , AHRC Collaborative Doctoral Partnership Student, National Maritime Museum & University of Leicester.

  • 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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