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  • Agile Cloud Automation

    Module code: CO4217 Cloud-based software system development involves a wide range of languages and notations, from high-level business modelling languages to low-level scripting languages, with many different abstraction facilities.

  • Analysis and Design of Algorithms

    Module code: CO7002 Algorithms are step-by-step procedures, such as those executed by computers, to solve problems.

  • Air fingerprinting expertise reveals budget manicure risks

    Chemists at the University have been involved in a BBC report into the use of a strong glue in nail salons.

  • Analysis and Design of Algorithms

    Module code: CO7002 Algorithms are step-by-step procedures, such as those executed by computers, to solve problems.

  • Risk Management in Banking

    Module code: AF3096 Some of the most spectacular losses in finance have been due to failures in risk management.  Either failure to properly appreciate the risk of an investment or to manage the people taking them.

  • Advanced Taxation

    Module code: AF3148 This module will help with higher level tax examinations for the ICAEW, ICAS and ACCA professional bodies as it provides a more advanced coverage of both personal and business tax topics which are covered in the higher level professional examinations.

  • Sample Page

    Share this page: Share this page: Comments are closed, but trackbacks and pingbacks are open.

  • Penelope Allison

    Roman Archaeology Conference in Split, Croatia (5th-9th April 2022) Posted by Penelope Allison in The Arch-I-Scan Project on May 22, 2022 Please click here or the image below to be redirected to this blog post by Arch-I-Scan Principal Investigator, Professor Penelope...

  • Grants and awards

    Explore the grants and awards for Genetic Epidemiology research at the University of Leicester.

  • Global COVID-19 study finds higher infection risk was main driver of ethnic inequality

    A major new global study has found that higher rates of severe illness and death among ethnic minority groups during the pandemic was largely driven by a greater risk of infection.

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