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  • Museum Studies Connect

    https://le.ac.uk/museum-studies/alumni

    Find out how graduates in Museum Studies at the University of Leicester are vital to our continued success and about our graduate network, Museum Studies Connect.

  • Meet the research team

    https://le.ac.uk/healthcare/research/people

    Learn more about the research team based in the School of Healthcare at the University of Leicester.

  • Academic, research and technical staff

    https://le.ac.uk/physics/people/academic

    Browse the academic staff who work in the Department of Physics and Astronomy and see their contact details.

  • Contents insurance

    https://le.ac.uk/study/undergraduates/accommodation/life-in-halls/contents-insurance

    Accommodation Services partner with Howden, the student insurance specialists, to cover your belongings when you're living with us. This is included in your accommodation fee.

  • Funding and finances

    https://le.ac.uk/study/undergraduates/mature-students/funding-and-finances

    How to fund your studies, with information on tuition fee and maintenance loans, scholarships and part-time work.

  • Global celebration

    https://le.ac.uk/centenary/events/global-celebration

    On Monday 4 October 2021, we celebrated the official birthday of the University, marking 100 years since we opened our doors to our first students in 1921. As well as events on campus, we wanted to ensure that our global community was included.

  • People

    https://le.ac.uk/research/institutes/space/people

    .

  • Palitha Edirisingha

    https://le.ac.uk/people/palitha-edirisingha

    The academic profile of Dr Palitha Edirisingha, Associate Professor at University of Leicester

  • Climate Change: Impacts, Vulnerability and Adaptation

    https://le.ac.uk/modules/2024/gy3432

    Module code: GY3432 "Climate change is destroying our path to sustainability. Ours is a world of looming challenges and increasingly limited resources." So said the then-UN Secretary-General Ban Ki-moon in 2012.

  • Statistics for Data Science

    https://le.ac.uk/modules/2024/ma7023

    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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