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Statistical Data Analysis
https://le.ac.uk/modules/2026/ma7206
Module code: MA7206 This module explores relationships between two or more variables through regression theory and generalised linear models.
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Dissertation
https://le.ac.uk/modules/2026/cr7725
Module code: CR7725 Having successfully completed all of the previous modules you will then have the opportunity to carry out a research project of your own in the form of a dissertation.
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Heritage and Culture
https://le.ac.uk/research/stories/natural-heritage
From arts and culture to life-changing global events, our researchers examine what has shaped our society as we know it.
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Sylvian Jesudoss
https://le.ac.uk/people/sylvian-jesudoss
The academic profile of Dr Sylvian Patrick Jesudoss, Lecturer in Marketing at University of Leicester.
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Georgiana Grigore
https://le.ac.uk/people/georgiana-grigore
The academic profile of Dr Georgiana Grigore, Associate Professor in Marketing at University of Leicester
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Europe 1861-1991: Emancipation and Subjugation
https://le.ac.uk/modules/2024/hs1016
Module code: HS1016 What major events shaped Europe during this period? Which ones were most significant in changing the course of European history forever, and why? You'll be exploring and analysing the major social, political, cultural and economic trends shaping...
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Statistical Data Analysis
https://le.ac.uk/modules/2024/ma7206
Module code: MA7206 This module explores relationships between two or more variables through regression theory and generalised linear models.
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Digital Journalism
https://le.ac.uk/modules/2024/ms7036
Module code: MS7036 There have been a host of transformations in the profession of journalism in the digital age. In this module you will evaluate and assess the impact of these changes on the role of journalism in society.
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Grants and awards
https://le.ac.uk/genetic-epidemiology/grants-and-awards
Explore the grants and awards for Genetic Epidemiology research at the University of Leicester.
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Technology, Organisation and People
https://le.ac.uk/school-of-business/research/technology-organisation-and-people
Lead: Professor Zach Lee The Technology, Organisation, and People (TOP) research group focuses on examining the interplay between technological innovations, data analytics, organisations, and people.