This course focuses on sport-specific monitoring systems, teaching you how to transform collected data into meaningful insights and communicate those insights effectively to decision-makers in sport.

5 hours of teaching on Fridays, which will be split as follows: a 1 hour lecture (all), 2-hour seminar (all) then 2-hour workshop (ran twice, as class split into 2 groups). 

None.

The course will be assessed by means of in-course assessment comprising of a structured discussion (50%) and an oral presentation (50%).

To provide students with the knowledge and skills to monitor, handle and interpret sport-specific performance data, enabling effective decision-making in dynamic environments. This course responds to the growing availability of diverse measurement methods and large volumes of performance data, as well as the challenge of producing meaningful insights from these datasets. Through engagement with the course, students will develop the ability to interpret methods of performance monitoring and quantitative performance data, to generate insights that are meaningful within sport contexts. The course offers an applied and investigative learning experience focused on performance monitoring and decision literacy, that will prepare students to create impact in real-world sport science settings. 

By the end of this course, students will be able to:

■ Design a sport-specific performance monitoring system that supports performance-related decision-making.

■ Justify the selection of valuable performance monitoring methods to a multidisciplinary sport science team.

■ Organise data as appropriate in the sport context

■ Apply a range of descriptive and inferential statistical tests to a given dataset.

■ Interpret quantitative performance data, considering variability and contextual constraints.

■ Translate data into meaningful insights which may enhance sport-specific performance.

■ Communicate sport science conclusions using oral, written, and digital skills.