module specification

This module focuses on the development of transferable skills, critical thinking and proficiency in data analysis and assimilation. The module will provide: in depth information on common hardware and software used in analysis of performance in sport (i.e. GPS, Opta). Develop the ability to implement appropriate analysis procedures for different contexts in sports performance environments (e.g. talent identification, team selection, training periodisation, rehabilitation). Critical analysis and assimilation of findings to support staff and athletes to affect change in programme design and implementation. Develop data assimilation techniques and develop critically evaluate key performance indicators for sports performance analysis. Provide information on data security, protection and ethical issues in sport. Critical review of contemporary issues in data analysis in sport (e.g. genetic profiling)

ST5013

The role of data in professional sports support
communication with data in sport – who uses data – how and why? LO 1, LO 2, LO 3

Injury risk factors, monitoring & analysis LO 1, LO 2, LO 3

Technology & software available for injury risk analysis LO 1, LO 2, LO 3

Performance Analysis: from competition to training – reverse engineering winning teams LO 1, LO 2, LO 3

Data analysis in Talent Development settings LO 1, LO 2, LO 3

Data analysis in for talent transfer LO 1, LO 2, LO 3

Key performance indicators, identification and application LO 1, LO 3

Challenges in practical application of data analysis  LO 1, LO 3

Limitations of Data Analysis in Sports  LO 1, LO 2, LO 3

Ethical consideration for data analysis in sport  LO 3

Contemporary issues in data analysis in sport  LO 3

Knowledge of the subject matter will be communicated through lectures and tutorials Appropriate supporting materials will be provided for these class sessions, together with a wider range of web-based learning resources and other student-centred learning opportunities. Practical classes will be used to develop expertise with data collection and evaluation, and will form the basis of the coursework component. Self-managed time and private study should be distributed over the whole year and not left until the final weeks. Students’ study responsibilities are further articulated in the Student Handbook, Course Handbook and Module Information booklet available on Weblearn.

On successful completion of the module students will be able to
1. Critically evaluate, design and propose data analysis for training & performance monitoring
2. Critically evaluate, design and propose data analysis for Talent development, Talent ID and Talent transfer
3. Critical understanding contemporary issues, ethics and security for data analysis in sport

Students will complete an individual presentation based on a critical review or data analysis procedures used in sport, discussing the design and implement data analysis procedures for training and performance monitoring.

Students will also submit a written report of the critical review completed for their presentation.

Core Texts:

McGarry, T., O'Donoghue, P., and Sampaio, J. (2013) Routledge handbook of sports performance analysis.  Abingdon: Routledge.

O'Donoghue, P. (2014) An introduction to performance analysis of sport. Abingdon: Routledge.

Carlson, M. (2013). Performance: A critical introduction. Routledge.

Schechner, R. (2017). Performance studies: An introduction. Routledge.

O'Donoghue, P. (2009). Research methods for sports performance analysis. Routledge.

Hughes, M., & Franks, I. (2007). The essentials of performance analysis: an introduction. Routledge.