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• Benefits for our alumni

  https://le.ac.uk/school-of-business/alumni/benefits

  The University of Leicester School of Business Alumni Network provides you with access to a diverse community of graduates from around the world who share one thing in common, they studied at the University of Leicester School of Business.

• Guidance for students

  https://le.ac.uk/brexit/students

  We know that students at the University of Leicester are uncertain about how they will be affected by Brexit. We are committed to supporting all our students throughout this period of change.

• Interpreting Heritage in Practice

  https://le.ac.uk/modules/2024/mu7574

  Module code: MU7574 This module will teach you to: Through the development of an interpretive project, demonstrate familiarity with project management approaches within heritage projects.

• Opportunities

  https://le.ac.uk/hodgkinson-group/opportunities

  Take a look at the opportunities for collaborations, postdoctural and PhD study within the Hodgkinson Group in the School of Chemistry.

• People

  https://le.ac.uk/english/people

  Meet the English at Leicester team. Browse our list of academic staff, honorary visiting staff and PhD students. Find information on ways to get in touch and browse our staff and students' research interests.

• Charlotte

  https://le.ac.uk/study/citizens/charlotte

  Learn more about Charlotte, one of our 'Citizens in the making' at Leicester.

• Meng Jia

  https://le.ac.uk/people/meng-jia

  The academic profile of Dr Meng Jia, Lecturer at University of Leicester

• Advanced Qualitative Techniques

  https://le.ac.uk/modules/2024/mn3123

  Module code: MN3123 Qualitative research allows you to explore opinions, attitudes, beliefs and intentions behind decisions. This module will teach you advanced qualitative techniques and will give you an insight into applying these within businesses and organisations.

• Advanced Electrical Machines

  https://le.ac.uk/modules/2024/eg4211

  Module code: EG4211 In this module we will learn how to make detailed calculations and predictions of the operation of machines under steady state and dynamic conditions, and when connected to electronic drives.

• Ning Wang

  https://le.ac.uk/people/ning-wang

  The academic profile of Dr Ning Wang, Lecturer in Cancer Metabolism and Prevention at University of Leicester