SP5038 - Analytics for Sport

The taught content will be delivered and provided in a variety of formats, and you will be able to access materials on the eLP module site. There will be the opportunity to work in smaller groups with discipline specific members of staff who will facilitate context driven discussion and learning. There will be a range of real world case study based examples for students to scrutinise and investigate which will help to consolidate key concepts and ideas related to data analytics in sport. You will also be set independent tasks informed by key literature to complete outside of class time to further develop your understanding of the taught content.

Module information, assessment requirements and expectations, and important module announcements will be made through the eLP. Material to support your learning will be uploaded in advance of sessions. You will be provided with content verbally and guided through tasks during timetabled sessions. A dedicated assessment session will afford you the opportunity to ask assessment related questions in class. The Module Leader is there to support you with any queries that you may have about the module content, and all staff members provide tutorial time outside of class time. Module tutors will provide you with the necessary information on how to arrange a tutorial. You will have the opportunity to receive formative feedback on your development during the module, and you will receive feedback on summative work to help you identify areas of strength and areas for development. There will be the opportunity to discuss your feedback with a member of staff during a tutorial. There are also further academic skills support available from the University Library services where you can gain access to study skills / academic writing and support materials, as well as links to booking both on and off campus study skills sessions. If this module is in option pot two for your programme, you will receive advice and guidance at a module options event to help you make an informed decision about how it fits with your own academic and professional development. Online pre-learning material will be made available to help you prepare for the module.

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

Knowledge & Understanding:

Demonstrate an understanding of the relevance and importance of data collection and analysis in a sport context.

To apply the use of relevant data to underpin decision making in sport.



Intellectual / Professional skills & abilities:

Communicate how data analytics can be used to enhance organisational development and management strategies.



Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):

Demonstrate an awareness of the sensitivities of data for individuals.

Summative Assessment:

Individual proposal (2000 words) which equates to 100% of the module marks and addresses all module learning outcomes (KU 1,2; IPSA 3; PVA 4). Students will develop an informed proposal based on data insights on an appropriate course of action to aid the decision-making process.



Formative Feedback

Formative feedback will be provided on an on-going basis during sessions and seminars. Students will have the opportunity during seminars to research, evaluate and discuss the key areas of the module. Directed tasks will require students to engage in the module content to demonstrate their understanding of the application of this information. Support and feedback will be provided by module staff and peers.



Summative Feedback

You will receive written or audio feedback on your summative assessment to help you identify areas of strength and areas for development. There will be the opportunity to discuss your feedback with a member of staff during a tutorial.

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Analytics for Sport is a contemporary and growing area for managers working in sport to be aware of. As the data revolution is having a profound influence across the sport industry, there is a growing need for those working in the industry to demonstrate an appreciation and awareness of the importance of data. Vital decisions across a range of sport situations require the best use of available data. Key management decisions are often founded on data and it is important that managers of the future can appreciate how data can inform decision making in the sport industry. From the training pitch, to the boardroom, to events and facilities and to human performance, data is a valuable asset which those in sport have to consider in order to be effective in the industry. This modules gives the insight into how data can be utilised across the sport industry.