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  • Resources

    Click here for links to resources designed for higher education students. Our university has the relevant resources and equipment to help you acheive academic success.

  • Spooky flower will bloom in time for Hallowe’en

    The spookily-named Corpse Flower is about to bloom in the University’s Botanic Garden – just in time for Hallowe’en.

  • Expert opinion Changes under Gove have brought about STEM teacher shortage

    Schools face a “looming disaster” over a severe shortage of teachers in science, technology, engineering and mathematics subjects, education and science experts at Leicester have warned.

  • Legal drugs: all the pros and none of the cons?

    Read the article "Legal drugs: all the pros and none of the cons?" This is part of the Social Worlds project at the University of Leicester.

  • International Relations and History BA

    Study the historical background to the most vital issues affecting the modern world, with Leicester’s International Relations and History degree.

  • Finance BSc

    On Leicester's BSc Finance degree you will learn the main theories, concepts, and practices related to finance, as well as appreciate fundamental concepts in related disciplines.

  • Computer Science BSc

    Computer science is more than just knowing how to program. It’s about studying the core foundations of computing, managing real-world projects and preparing yourself to enter a field that’s constantly shaping the future.

  • School of Business Blog: Academic and staff blogs from the University of Leicester: Page 13

    Academic and staff blogs from the University of Leicester

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

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