6B054E - Applied Science and Athlete Monitoring 01 Sep 2026 - 31 Aug 2032 | Version 0
Associated Module Information
| Module Code: | 6B054E | ||
|---|---|---|---|
| Module Title: | Applied Science and Athlete Monitoring | ||
| Faculty: | Faculty of Life Sciences and Education | ||
| Faculty Group: | Sport | ||
| Faculty Sub Group: | Sports Coaching | ||
| Module Leader: | Peter Ashcroft | ||
| Module Team: | Nathan Evans | ||
| First Intended Intake: | SEP 2026 | Final Year of Intake: | 2031 |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 6 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 101379 - sport technology | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 0 |
|---|---|
| Valid From | 01 Sep 2026 |
| Valid To | 31 Aug 2032 |
Module Aims
The main aims of the module are:
Develop an understanding of contemporary athlete monitoring practices.
Develop knowledge and applied skills in the use of sport science technologies, for the collection and interpretation of athlete data in applied settings.
Develop competence in data analysis, visualisation and communication, using platforms such as Power Bi.
Content Summary
Athlete monitoring is a key part of modern strength and conditioning, supporting practitioners in tracking training load, managing fatigue, and reducing injury risk. With advancements in sport technology, tools such as GPS units, heart rate monitors, and force plates now provide detailed performance and recovery data. This content will be delivered alongside industry professionals, ensuring learners develop the ability to collect, interpret, and apply these data streams—now a core competency in high-performance sport.
This module develops the knowledge and applied skills required to monitor athlete performance using contemporary sport science technologies. Through a mix of seminars and practical workshops, you'll learn how to collect data, use monitoring equipment and follow real-world protocols.
A key feature of the module is the integration of Power BI and R Studio for data analysis and dashboard creation, supported by AI. These powerful tools will allow you to analyse data and build dashboards. You’ll learn how to turn raw data into coach-facing reports. These skills aren’t just useful for strength and conditioning; they’re highly transferable across sport, health, and data-driven industries. Developing confidence with these tools will boost your employability and prepare you for real-world professional roles.
The knowledge and skills developed during this module are aligned with the expectations of the following strength and conditioning and sport and exercise science professional bodies:
UK Strength and Conditioning Association (UKSCA)
National Strength and Conditioning Association (NSCA)
International Universities Strength and Conditioning Association (IUSCA)
Chartered Association of Sport and Exercise Sciences (CASES)
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Seminar | 28 |
| Practical Classes and Workshops | 28 |
| Guided Study | 104 |
| Problem/Challenge based learning | 70 |
| Formative Assessment | 10 |
| Summative Assessment | 60 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Critically evaluate athlete monitoring strategies by analysing internal and external load metrics, assessing the validity and reliability of sport science technologies, and applying evidence-based frameworks to support performance decision-making |
| LO2 | Demonstrate competence in data analysis and visual communication by using Power BI to process athlete monitoring data, create interactive dashboards, and present actionable insights. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Essay 1 | The critical essay requires students to evaluate athlete monitoring strategies using evidence-based reasoning. This assessment supports the development of critical thinking, ethical awareness, and professional judgement, key attributes for sport science graduates. It also mirrors the analytical demands of roles in performance sport, where practitioners must justify monitoring decisions using valid and reliable evidence | 0 | 3000 | 50 | No | 40 |
| Asynchronous Assessment | Student Choice | The portfolio: dashboard project involves the creation of an interactive Power BI dashboard using athlete monitoring datasets. Students must integrate multiple data sources, apply analytical techniques, and present actionable insights. This assessment builds digital literacy, visual communication, and stakeholder engagement, all of which are essential for employability in sport science and related sectors. students are given the option to choose their preferred format. They may either submit a written essay/report or deliver a recorded presentation. Each format is intentionally designed to develop and assess a broad set of transferable skills, including verbal and written communication, the effective use of visual data, and the capacity to provide evidence-based justification. | 15 | 1000 | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Essay 1 | ✔ | ✘ | |
| Student Choice | ✘ | ✔ | |