This module will equip students with an advanced knowledge of programming and scripting skills needed for the effective use of data analytics libraries and software. Students will learn how to select efficient data structures for numerical programming and to use these appropriately to transform data into useful and actionable information in the sports sector.

1. Understand the fundamentals of data architecture and programming for complex sports systems and the strengths and limitations with real-world examples.
2. Develop competence in handling and processing of data and identifying the opportunities and challenges of incorporating data analytics to improve the development and testing of complex sports systems.
3. Critically assess the methodological challenges and gain understanding of the principles of database management including data ingestion, storage, processing, and sharing.
4. Apply data analytics, including traditional statistics and machine learning techniques, to implement relevant workflow for data visualisation, analysis, and communication. Undertake data wrangling and exploratory data analysis with appropriate libraries and software.

Technologies like Virtual, Augmented and Mixed Reality form a suite of available media to develop applications for immersive experiences. Along with wearable devices and the Internet of Things, there are a significant number of pathways available to develop applications for data visualisation and connected sport solutions for players, fans and coaches.

This module will focus on these technologies and the necessary programming to give students the practical insights into developing applications tailored for enhancing the sporting experience, analysing performance metrics and facilitating informed decision-making in sports for the various stakeholders. The technologies and often the data to be displayed provide a practical opportunity to deploy AI and machine-learning based solutions in this space.

Throughout the module, the students will be motivated to use a computational thinking approach to decompose the challenges identified and to adopt a digital mindset in the development of the appropriate solutions.

1. Critically evaluate the range of technologies available to build connected, immersive applications in a sporting context.
2. Analyse and provide examples of appropriate use of technology in applications to enhance the engagement of players, fans and coaches.
3. Develop practical applications using immersive, connected or wearable technology within the sports landscape.
4. Critically evaluate the impact of these immersive, connected technologies on the sports industry and its stakeholders.