5B062E - Physical Profiling and Data Reporting 01 Sep 2026 - 31 Aug 2032 | Version 1
Associated Module Information
| Module Code: | 5B062E | ||
|---|---|---|---|
| Module Title: | Physical Profiling and Data Reporting | ||
| 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: | 5 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 101379 - sport technology | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2026 |
| Valid To | 31 Aug 2032 |
Module Aims
The main aims of the module are:
Enable students to apply a structured framework for evaluating sport-specific physical requirements and performance indicators.
Develop students’ knowledge and applied skills to design and administer physical profiling protocols that reflect sport-specific requirements.
Enable students to analyse performance data effectively and generate meaningful feedback.
Content Summary
Fitness testing and data analysis are key components of modern strength and conditioning practice. They provide coaches with objective tools to evaluate performance, monitor progress and guide training decisions. As the field becomes increasingly data-driven, proficiency in these areas is essential for supporting evidence-based decision-making and practice.
This module will provide you with the knowledge and practical skills to design and run sport-specific physical profiling batteries and make sense of the results. By exploring real research, you’ll learn how to identify the physical qualities most in different sports along with factors that contribute towards injuries. You'll gain hands-on experience with a wide range of performance tests, and learn how to collect, analyse and explain the data clearly. We'll also teach you how to use Microsoft Excel and AI to manage your data, run basic statistical tests, and present your findings in a clear, professional way.
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 |
|---|---|
| Tutorial | 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 | Identify the physical demands of a sport and design, justify and implement a physical profiling battery that aligns with those requirements. |
| LO2 | Analyse performance test data using statistical methods and explain the findings. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Student Choice | 23 minutes or 3000 words. Requires students to identify the physical demands of a chosen sport and then select, implement and justify a profiling battery that reflects these demands. It encourages students to integrate physiological, biomechanical, and contextual reasoning, and to communicate their decisions clearly and professionally | 23 | 3000 | 50 | No | 40 |
| Synchronous Onsite Assessment (Exam) | Onsite Open Book Examination | Evaluates students’ ability to apply statistical techniques to performance data and interpret the results. This format ensures that students can demonstrate independent analytical thinking under time constraints, reinforcing core competencies in quantitative reasoning, data literacy, and digital fluency | 120 | N/A | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Student Choice | ✔ | ✔ | |
| Onsite Open Book Examination | ✘ | ✔ | |