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  • Fixtures by date

    Browse fixtures for Varsity, our inter-university sporting competition, as organised by date.

  • Data Structures and Development Environments

    Module code: CO1005 This module will take you beyond the elementary parts of the Java language, introducing advanced features of the language which require sophisticated design and development tools, techniques and algorithms.

  • Mathematical Sciences, Engineering and Computing privacy notice (student personal data)

    Find out more about how your data is handled as an applicant and student of the Maths, Engineering and Informatics departments at Leicester.

  • Neptune is cooler than we thought: Study reveals unexpected changes in atmospheric temperatures

    New research led by space scientists at the University of Leicester has revealed how temperatures in Neptune’s atmosphere have unexpectedly fluctuated over the past two decades.

  • Data Science MSc, PGDip

    In this conversion course you will learn how to interrogate existing data sets to solve problems and communicate your solutions with maximum visual impact to a range of audiences.

  • Data Science MSc, PGDip

    In this conversion course you will learn how to interrogate existing data sets to solve problems and communicate your solutions with maximum visual impact to a range of audiences.

  • Women like that: lesbian and gay history

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on July 26, 2013 Jane Traies, who is based at the University of Surrey, is pioneering research on the lives of older lesbians in the UK.

  • Data classification principles

    The University of Leicester follows data classification principles to assess the sensitivity of data and protect it accordingly.

  • Data protection impact assesment

    What's new under GDPR legislation? Learn more about the data protection impact assessment and mitigating risks and safeguarding data when processing information.

  • Fundamentals of Data Science

    Module code: MA3419 Data science is the process of extracting reliable insights and conclusions from data.

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