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9835 results for: ‘global learning outcomes’

  • Study

    Find out about studying Psychology at the University of Leicester. We offer BPS-accredited undergraduate and postgraduate courses, and a wide range (MPhil, PhD, PsyD and DClinPSy) of postgraduate research degrees.

  • Study

    Degrees in Media and Communication at the University of Leicester offer you the chance to explore a wide range of specialist subjects within the wider field of media and communication. Find out more about our undergraduate and postgraduate courses and research opportunities.

  • Computational Fluid Dynamics

    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.

  • Study

    By choosing to study Archaeology or Ancient History, you will join a lively academic community committed to understanding the past.

  • Study

    Museum Studies at Leicester offers a wide range of postgraduate study opportunities as well as research degrees to meet your requirements.

  • Researchers identify simple methods to prevent heart attacks and stroke

    Simple pharmacological solutions to prevent heart attacks and stroke worldwide have been proven effective by an international team involving Leicester researchers.

  • Information for students

    Learn more about the RefugEAP course aims, features, frequently asked questions and how to apply.

  • Karin Li

    Hello my name is Karin. My background is in Art Museum and Gallery Studies. I am interested in art and history. I started volunteering for the Sounds for the Future project in October 2022 and now work as a library adviser for Archives and Special Collections.

  • ESA provides a business boost for Space Park Leicester

    Space Park Leicester has been selected as a new centre to offer the successful business incubation programme for start-ups in the UK, run by the European Space Agency (ESA).

  • Publications

    Wang, P., Tao, Q., Dong, H., & El-Fallah, G. M. A. M. (2025). Advanced machine learning analysis of radiation hardening in reduced-activation ferritic/martensitic steels. Computational Materials Science. doi:10.1016/j.commatsci.2025.113773 Li, M., Fu, J.

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