Search

9561 results for: ‘global learning outcomes’

  • The Future of Work

    Module code: MN1013 We are living through a revolution in the world of work.  The main forces of change, such as automation and globalisation, have been building for several years and appear to have accelerated after the COVID-19 pandemic.

  • The Future of Work

    Module code: MN1013 We are living through a revolution in the world of work.  The main forces of change, such as automation and globalisation, have been building for several years and appear to have accelerated after the COVID-19 pandemic.

  • The Future of Work

    Module code: MN1013 We are living through a revolution in the world of work.  The main forces of change, such as automation and globalisation, have been building for several years and appear to have accelerated after the COVID-19 pandemic.

  • Staff and student travel

    As the University has a number of overseas research and teaching operations, the potential disruption to travel as a result of Brexit is a concern. Find out more about what we're doing to ensure travel for staff and students runs smoothly after Brexit.

  • Biomedical Engineering BEng

    Biomedical Engineering transforms healthcare through customised medical devices, prosthetics, and even organs to improve people’s lives.

  • Biomedical Engineering MEng

    Biomedical Engineering transforms healthcare through customised medical devices, prosthetics, and even organs to improve people’s lives.

  • Report suggests delaying school entry for preterm babies may not be the answer

    A new report launched today suggests that prematurely born babies are more likely to have learning difficulties at school age, and the risk increases the earlier they are born.

  • 2025 news

    preclinical research at University of Leicester

  • Professor Pamela Rogerson Revell

    The academic profile of Professor Pamela Rogerson Revell, Professor of Applied Linguistics at University of Leicester

  • Over £600,000 for University of Leicester to shrink AI algorithms for smarter spacecraft

    Multidisciplinary team from University of Leicester receives £690,000 funding from UK Space Agency and aims to develop and demonstrate streamlined machine learning algorithms suitable for limited spacecraft power and computing performance

Back to top
MENU