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Maneka Haulder
https://le.ac.uk/people/maneka-haulder
The academic profile of Dr Maneka Haulder, Postdoctoral Research Associate at University of Leicester
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Matt Flynn
https://le.ac.uk/people/matt-flynn
The academic profile of Professor Matt Flynn, Professor of Work and Employment at University of Leicester
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Social Sciences and Humanities Librarians’ Blog: Academic and staff blogs from the University of Lei
https://staffblogs.le.ac.uk/socscilibrarians/page/15/
Academic and staff blogs from the University of Leicester
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Andrew Dunn: Page 15
https://staffblogs.le.ac.uk/socscilibrarians/author/andrew_dunn/page/15/
Academic Librarian.
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Amanda Berlan
https://le.ac.uk/people/amanda-berlan
The academic profile of Dr Amanda Berlan, Professor in Responsible Business at University of Leicester
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Modules
https://le.ac.uk/modules
Please see individual course pages for the full selection of core and option modules currently available on each of our courses. Modules shown represent choices available to current students.
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Pharmacology and medicines prescribing applied to midwifery practice
https://le.ac.uk/modules/2026/mw3012
Module code: MW3012 This module is facilitated by a combination of specialist subject lectures, small group tutorials, interactive computer-based activities, practical demonstration and simulation (medicinal products administration), problem-based case scenarios, practice...
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Differential Geometry
https://le.ac.uk/modules/2026/ma4152
Module code: MA4152 Geometry is one of the oldest scientific disciplines. An understanding of the shape and size of objects has been, and continues to be, fundamental for advances in technologies and civilisation.
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Differential Geometry
https://le.ac.uk/modules/2026/ma3152
Module code: MA3152 Geometry is one of the oldest scientific disciplines. An understanding of the shape and size of objects has been, and continues to be, fundamental for advances in technologies and civilisation.
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Statistics for Data Science
https://le.ac.uk/modules/2026/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.