SP4065 - Applied Sports Science (2026/27)
| Module specification | Module approved to run in 2026/27 | ||||||||||||
| Module title | Applied Sports Science | ||||||||||||
| Module level | Certificate (04) | ||||||||||||
| Credit rating for module | 15 | ||||||||||||
| School | School of Human Sciences | ||||||||||||
| Total study hours | 150 | ||||||||||||
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| Assessment components |
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| Running in 2026/27(Please note that module timeslots are subject to change) | No instances running in the year |
Module summary
This module provides the foundations for the research analysis and activity which you will develop throughout your degree program. You will develop the skills required to read, interpret and analyse research in a variety of forms. This module also introduces you to methods of data analysis using computer software.
You will enhance your planning, preparation, academic writing styles, referencing and resourcing. Regarding data analysis, the aim of the module is to enable you to apply simple statistical techniques to data, as part of your other modules as well as in a sport-specific, real-life experiment.
Prior learning requirements
N/A
Available for Study Abroad? No
Syllabus
Effective use of information sources: research (location of paper-based and electronic sources of scientific data and information) (LO1, LO2)
Appropriate retrieval, interpretation and summary of information (LO1, LO2)
Attribution of source material: citation of published and unpublished (or anecdotal) material (LO2)
Planning and preparation for academic writing and presenting to audiences (LO1, LO2)
Preparing academic posters (LO1, LO2, LO3)
Referencing guidelines (LO2)
Plagiarism and Scientific Fraud: definition, implications and penalties (LO1, LO2)
Develop academic writing skills (LO1, LO2)
Reflection and review of written work from self and peers (LO2)
Understanding of both qualitative and quantitative data collection methods (LO1, LO2, LO3)
Basic mathematical and statistical skills and applications to research and data analysis (LO3)
Balance of independent study and scheduled teaching activity
Students will be taught using a variety of teaching methods including:
• Lectures
• Seminars
• Tutorials (in classrooms and in IT studios)
• On-line tests and quizzes
Lectures will be used to present and develop core material; IT tutorials will be used to demonstrate and allow students to apply concepts taught in lectures. Tutorial sessions will be used to support the lecture material and allow the students to engage in the material using IT and problem-solving skills. Directed learning will include exercises set within the lecture and tutorial sessions and involve using the web and library resources.
The University’s virtual learning platform will be used extensively to provide the students with appropriate learning materials, as well as learning checks and video resources to enhance students learning and engagement.
Learning outcomes
LO1: Demonstrate an understanding of the different types of sports science research and issues surrounding good quality research
LO2: Undertake data collection, literature searches and interpretation of information from written and electronic sources and utilise a standard format to cite the sources of such material
LO3: Develop mathematical and statistical skills required to enable basic research and data analysis, using appropriate IT packages