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• Computational Fluid Dynamics

  https://le.ac.uk/modules/2026/eg7125

  Module code: EG7125 This module will provide a comprehensive overview of Computational Fluid Dynamics, and its application to flows of both academic and industrial interest.

• The Living and the Dead in Nineteenth Century Literature and Culture

  https://le.ac.uk/modules/2026/en3209

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• Computational Fluid Dynamics

  https://le.ac.uk/modules/2024/eg7125

  Module code: EG7125 This module will provide a comprehensive overview of Computational Fluid Dynamics, and its application to flows of both academic and industrial interest.

• Consumers, Brands and Digital Marketing

  https://le.ac.uk/modules/2025/mk1030

  Module code: MK1030 This first-year core module (specifically designed for our BA Marketing course) will build upon the Principles of Marketing module in semester one to enhance your understanding of key contemporary concepts in marketing, including the digital economy,...

• Faisal Sattar

  https://le.ac.uk/school-of-business/working-with-business/entrepreneurs-in-residence/faisal-sattar

  Find out more about Faisal Sattar, Entrepreneur in Residence at the University of Leicester School of Business. Faisal Sattar is a founder and director of Obsidian Tax.

• Consumers, Brands and Digital Marketing

  https://le.ac.uk/modules/2026/mk1030

  Module code: MK1030 This first-year core module (specifically designed for our BA Marketing course) will build upon the Principles of Marketing module in semester one to enhance your understanding of key contemporary concepts in marketing, including the digital...

• Civil Justice System

  https://le.ac.uk/modules/2024/lw1111

  Module code: LW1111 An accident, the purchase of a defective product, or the loss of a job can all involve using lawyers and the courts. The realities of using the system, along with theoretical questions about the basis of civil justice, will be explored in this module.

• Katrin Leschke

  https://le.ac.uk/people/katrin-leschke

  The academic profile of Dr Katrin Leschke, Associate Professor at University of Leicester

• FAST-Home Study

  https://le.ac.uk/timms/collaborations/fast-home-study

  Facilitating safe transition to home for preterm infants - a retrospective observational study (The FAST-Home Study)

• Computationally Intensive Methods

  https://le.ac.uk/modules/2024/md7443

  Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.