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  • Data Mining and Neural Networks

    Module code: MA7022 This module will provide a comprehensive grounding in the structure of the data mining process and explain the basic notations and operations.

  • Yunci Cai

    The academic profile of Dr Yunci Cai, Associate Professor in Museum and Heritage Studies at University of Leicester

  • Quality assurance

    As a member of the Chartered Institute for Archaeologists (CIfA) and alongside the reputation we have been building for over 25 years, ULAS provides a quality assured service.

  • Making an application

    Find information on applying for primary and secondary PGCE teacher training with the University of Leicester via UCASTT, UCAS Teacher Training, and also see guidance on submitting references.

  • Art and Society in Spain

    Module code: SP3149  This module will explore some of the major aspects of Spain’s development between the sixteenth and twentieth centuries via a selection of paintings by the great masters of Spanish Art.

  • Environment, Nature & Society B

    Module code: GY1037 This module begins with a question that, at first, seems very straightforward, but in reality is quite complex: 'What is nature?'  Nature is something that seems so familiar but is elusive and can be difficult to pin down.

  • Web Technologies

    Module code: CO3098 Software engineering nowadays presents challenges relating to the internet and e-commerce that weren’t part of previous generations’ software engineering courses.

  • Data Mining and Neural Networks

    Module code: MA7022 This module will provide a comprehensive grounding in the structure of the data mining process and explain the basic notations and operations.

  • Kevin Scott

    It is with great sadness that we announce the passing of Kevin Scott, a dedicated and beloved porter at Oadby Student Village, who left us on 28 June 2024. Kevin was 61 years old.

  • Project to provide vital maths support for teenagers born very prematurely

    An award-winning research team led by Dr Samantha Johnson (pictured) from the Department of Health Sciences is developing a web-based e-learning programme to help teenagers who were born very prematurely with vital maths skills.

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