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  • Statistical Computing and Inference

    Module code: MD7453 This module provides an overview of approaches to statistical inference, both likelihood and Bayesian, applied to medical/health data and the use of statistical software packages.

  • Numerical Programming in C++

    Module code: PA3247 The Physics Skills Electives are designed to help you improve your skills and enhance your career options in industry, education, research and/or business.

  • Numerical Programming in C++

    Module code: PA3247 The Physics Skills Electives are designed to help you improve your skills and enhance your career options in industry, education, research and/or business.

  • Statistical Computing and Inference

    Module code: MD7453 This module provides an overview of approaches to statistical inference, both likelihood and Bayesian, applied to medical/health data and the use of statistical software packages.

  • Global Geopolitical Economy

    Module code: GY2154 This module provides a thorough overview of the global economic and political system.

  • The history of Chemistry and Physics at Leicester

    The Departments of Chemistry and Physics at the University of Leicester have a rich history dating back to the early 20th century.

  • Messages about Black History Month

    Hear more about Black History Month at Leicester from our Vice-Chancellor and Students' Liberation Officer.

  • About the British Heart Foundation Research Accelerator for Precision Medicine

    The University has received a BHF Accelerator Award of £1 million in funding to establish the research agenda over the next five years, tailoring its focus to precision medicine.

  • Sarita Sundar: Storytelling in India's museums

    Sunita Sundar graduated with an MA in Heritage and Interpretation in 2015 from the University of Leicester. Read more about her life and career.

  • Leicester midwifery academic recognised for outstanding contribution to teaching

    A leading midwifery expert from the University of Leicester has been recognised for her outstanding contribution to teaching and inspiring colleagues in Higher Education.

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