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Publications
https://le.ac.uk/cces/publications
The Consumer and Essential Services Unit (CESU) provides links to resources which are useful for academic purposes.
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Support and expertise
https://le.ac.uk/nihr-rss/research-support
Find out more about the East Midlands Research Support Service (RSS) at the University of Leicester.
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Advanced Statistical Modelling (Part-time)
https://le.ac.uk/modules/2024/md7468
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.
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Advanced Chemistry Practical
https://le.ac.uk/modules/2024/ch3271
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.
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Advanced Statistical Modelling (Part-time)
https://le.ac.uk/modules/2025/md7468
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.
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Advanced Chemistry Practical
https://le.ac.uk/modules/2025/ch3273-ch3274
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Exploring Socially Engaged Practice in Museums and Galleries
https://le.ac.uk/modules/2025/mu7561
Module code: MU7561 Socially engaged approaches and practices in museums and galleries of all kinds are rapidly evolving.
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Exploring Socially Engaged Practice in Museums and Galleries
https://le.ac.uk/modules/2026/mu7561
Module code: MU7561 Socially engaged approaches and practices in museums and galleries of all kinds are rapidly evolving.
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Advanced Chemistry Practical
https://le.ac.uk/modules/2026/ch3273-ch3274
.
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Advanced Statistical Modelling (Part-time)
https://le.ac.uk/modules/2026/md7468
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.