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Introduction to Economic Data Analysis
https://le.ac.uk/modules/2026/ec1009
Module code: EC1009 During this module you will enhance your statistical analysis skills gained from Statistics for Economists I and start to write up the results you calculated from a data-analysis report.
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Meeting dates 2025-2026
https://le.ac.uk/dbs/animal-welfare/awerb/meeting-dates-2025---2026
The Division of Biomedical Services AWERB quorate meets regularly. Browse the meeting dates for 2020.
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Scientific Computing
https://le.ac.uk/modules/2024/fs0061
Module code: FS0061 Computer programming is a useful tool for all areas of science. It allows you to speed up and automate many tasks in data processing and analysis, and offers a quick and consistent way to plot attractive graphs.
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Rachel Winter
https://le.ac.uk/people/rachel-winter
The academic profile of Dr Rachel Winter, Stoneygate Associate Professor in Medical Education and Empathic Healthcare, Honorary Consultant in Old Age Psychiatry at University of Leicester
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Harriet Walter
https://le.ac.uk/people/harriet-walter
The academic profile of Dr Harriet Walter, Associate Professor of Medical Oncology and Honorary Consultant Medical Oncologist at University of Leicester
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Adam Clapton BA
https://le.ac.uk/ulas/about/our-team/adam-clapton
Learn more about our Senior Supervisor of ULAS, Adam Clapton.
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Electronic Tools for Translators
https://le.ac.uk/modules/2024/ts2004
Module code: TS2004 Translation can be a tedious process - which can be made easier with the use of software, tools and resources.
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Advanced Translation
https://le.ac.uk/modules/2024/ts3003
Module code: TS3003 This module is taught via a combination of practical lectures and workshops where you will have ample opportunities to practise translating semi-specialised texts.
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Marketing Management and Practice
https://le.ac.uk/modules/2024/mn7010
Module code: MN7010 Marketing is a vital role within successful organisations, ranging from advertising and many other promotional techniques through to strategising and market research.
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Quantitative Methods in Applied Health Research
https://le.ac.uk/modules/2024/md7432
Module code: MD7432 In this module you will consider the advantages and disadvantages of a range of quantitative methodologies. We will explore statistical methods using statistical software, including descriptive, univariate and multivariate analyses.