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  • University scholarships, bursaries and discounts

    Scholarships, bursaries and discounts available to students applying for undergraduate courses at the University of Leicester.

  • Employment sector

    We have gathered all our expertise and information on a wide range of employment sectors to inspire you and help you find the right career for you.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Advanced Chemistry Practical

    Module code: CH3271 You've passed the halfway mark of your MChem and your practical chemistry skills will have developed immensely from when you began. This module will enable you to put your hard work so far into practice.

  • Vaughan Centre for Lifelong Learning celebrates successful part-time students

    Part-time students at the Vaughan Centre for Lifelong Learning were congratulated on their commitment and dedication at an award ceremony on 5 March at The Fraser Noble Building, University of Leicester.

  • Mental health relating to childbearing

    Module code: MW2013 This module includes lead lectures and workshops facilitated by subject specialists, such as specialist midwives and perinatal mental health psychologists, case studies, service users’ experiences, group work, role-play and guided independent study.

  • Publications

    The Consumer and Essential Services Unit (CESU) provides links to resources which are useful for academic purposes.

  • Support and expertise

    Find out more about the East Midlands Research Support Service (RSS) at the University of Leicester.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Advanced Chemistry Practical

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