Introduction to Sports Analytics

    Unit code: SES6001 | Study level: Postgraduate
    (Generally, 1 credit = 10 hours of classes and independent study.)
    Online Self-Paced


    The information available to practitioners working within sport is diverse and constantly increasing due to advancements in technology and increase in availability of data. For example, the physical and skilled output of athletes can be captured via wearable sensors and optical tracking systems, Similarly, data on an athlete’s on-field performance, recruiting profile, training load and wellbeing can all be monitored over time, by a variety of technologies and data types. Therefore, there is a need in sport to store, analyse, consolidate and interpret data in order to communicate this information to coaches and support staff in a timely manner. Additionally, practitioners working within sport must be able to translate this data and information into practice.

    This unit will introduce students to data analytics (e.g. finding meaningful patterns within data sets) and how it is used in sport, across a variety of different applications. Students will learn how to critically appraise technologies used to capture common data types in sport. Students will be introduced to a range of analysis techniques and will discover how to analyse data from a range of sources including athlete tracking systems (e.g. GPS), match statistics and wellbeing questionnaires.

    Learning Outcomes

    On successful completion of this unit, students will be able to:

    1. Design, implement and evaluate methods for the analysis of data;
    2. Devise models to identify key-performance indicators within data sets obtained from various sources;
    3. Implement a range of analysis methods to interpret data that can be used for both short and long term practical application;
    4. Appraise and utilise contemporary technologies in professional practice; and
    5. Elucidate complex information based on data sets to other practitioners.

    Study as a single unit

    This unit can be studied on its own, without enrolling in a full degree.

    Learn more about single units of study at VU


    For Melbourne campuses

    Assessment type: Exercise
    Grade: 25%
    Scoping the literature and framing a sports analytics problem, appraising contemporary technologies
    Assessment type: Project
    Grade: 35%
    Analysis of a dataset, through the design of models to interpret data
    Assessment type: Presentation
    Grade: 40%
    Multimedia presentation on insights and results from analysis of a data set

    Required reading

    Selected readings will be made available via the unit VU Collaborate site.

    As part of a course

    This unit is studied as part of the following course(s):

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