Sports Data and Analysis - AHC3121

Assessment 1: Practical skills assessment

Students will complete two formative ‘matchdays’ during the module. These will consist of field trips to live sports matches where students will develop their live sports analysis skills, and receive ongoing and informal verbal feedback.

Practical skills assessment

Assessment 1: Project Work

An individual sports data project using techniques of data visualisation and storytelling taught during the module.

Project work

Assessment 2: Written Assignment

An individual piece of longform or in-depth sports reporting or analysis.

Written Assignment

Digital Media, Data and Analysis

AHC3915 - Digital Media, Data and Analysis

This module introduces you to advanced sports analytics in relation to sports journalism and the media. You will consider how sports analysis and gambling companies have transformed how journalists and users understand and engage with live and editorial sport coverage. It will familiarise you with the assessment, creation and implementation of a variety of analytical metrics. It will also consider the ways in which such data can be visualised and applied across a variety of platforms.

School of Arts and Humanities

Indicative texts:
<ul>
<li>Kennedy, H., &amp; Engebretsen, M. (2020). Introduction : The relationships between graphs, charts, maps and meanings, feelings, engagements. In M. Engebretsen, &amp; H. Kennedy (Eds.), Data visualization in society (pp. 19-32). Amsterdam University Press. <a href="https://doi.org/10.1515/9789048543137-005">https://doi.org/10.1515/9789048543137-005</a></li>
<li>Kitchin, R. (2022). The data revolution: A critical analysis of big data, open data &amp; data infrastructures (Second ed.). SAGE.</li>
<li>Lambert, C. M. (2019). Sports journalism and data. Digital sports journalism (1st ed., pp. 111-122). Routledge. <a href="https://doi.org/10.4324/9781315100142-9">https://doi.org/10.4324/9781315100142-9</a></li>
<li>Perin, C., Vuillemot, R., Stolper, C. D., Stasko, J. T., Wood, J., &amp; Carpendale, S. (2018). State of the art of sports data visualization. Computer Graphics Forum, 37(3), 663-686. <a href="https://doi.org/10.1111/cgf.13447">https://doi.org/10.1111/cgf.13447</a></li>
<li>ROJAS-TORRIJOS, J., &amp; GARCÍA-CEPERO, J. (2020). Perception of sports data journalism among heavy users. case study: Predictive model during the 2018 football world cup in el país. Revista Mediterránea De Comunicación, 11(2), 295-310. <a href="https://doi.org/10.14198/MEDCOM2020.11.2.8">https://doi.org/10.14198/MEDCOM2020.11.2.8</a></li>
</ul>

Container 1

Media, Journalism and Film

AHC3121 - Sports Data and Analysis

Sports Data and Analysis

be able to critically evaluate how sports data analytics are changing presentation and reporting within sports journalism.

be able to critically analyse how data and advanced metrics are used to appraise a team or player’s performance or playing style.

be able to produce engaging, rich and detailed match or performance analysis for a general audience.

be able to use a variety of databases, datasets, APIs and other advanced technical tools to produce longform or in-depth sports reporting or analysis.

be able to recognise how key sports metrics are produced and generated.

be able to apply use of data widgets onto websites or social media, including the production of graphics or visualisations.