Partner Details

Portobello Institute

Awards

Target Award

Award Description:Master of Science - MS

Alternative Exit

Alternative Exit

Programme Offerings

Full-Time

B-PTB-FEB

B-PTB-OCT

Educational Aims of the Course

The MSc in Sports Performance Analysis aims to develop the students’ theoretical knowledge and practical skills in sport(s) performance analysis. It will provide a contemporary theoretical and practical performance analysis curriculum that develops ‘evidence informed practitioners’ with transferable skills necessary for employment in sports performance roles requiring initiative and personal responsibility, decision-making in complex situations, the interpersonal skills to disseminate complex information in an understandable format to professional and lay audiences. It embeds across the curriculum independent learning-ability required for continuing professional development in their sports performance analysis careers to provide innovative and contemporary solutions to sports performance analysis across individual and/or team sport settings.

Specific Course Aims.

  • Offer an opportunity to develop and progress a career by providing a rigorous, in-depth, and relevant focus on applied and academic sports performance analysis skills.
  • Develop students’ understanding, and their ability to apply knowledge and analysis to various contexts through a range of opportunities, including the use of their own work experience, case studies, performance analysis scenarios, presentations, and problem- based learning exercises.
  • Provide a framework that supports students to develop their confidence and capabilities in using appropriate techniques and research methodologies to pursue their chosen
  • Promote a lively, creative, and collaborative learning environment, where dialogue and exchange are supported and students from a broad range of backgrounds are encouraged to engage in experimentation and heuristic learning.
  • Foster a critical, analytical, and reflective approach that enables students to determine their research ambitions and identify and test appropriate methods to achieve them.
  • Enable students to develop and present a substantial body of practical and theoretical work, demonstrating an appropriate level of professional and intellectual attainment that supports further study or professional practice.
  • Develop the students’ understanding of recent/up to date sports performance analysis technologies and practices.

Learning Outcomes

1.
Demonstrate advanced knowledge of performance analysis concepts applied in team and/or individual sports.
2.
Demonstrate advanced understanding of the performance analysis principles evidenced by a critical understanding of underpinning theoretical literature.
3.
Design, implement and evaluate performance analysis framework(s) and technologies for sport performance monitoring and reporting to a range of stakeholders.
4.
Critically assess areas of sport performance and adequately select appropriate key performance indicators to monitor individual or team performance.
5.
Demonstrate knowledge and understanding of the professional and ethical consideration of sports performance analysis as pertains to different stakeholders
6.
Devise, implement and critically evaluate different sport performance analyses in team or individual sports.
7.
Demonstrate advanced understanding of appropriate selection and application of assessing sport performance technologies in the lab or the applied practice.
8.
Demonstrate knowledge and competence in using data analytics and data visualisation approaches.
9.
Analyse, present and interpret physical, technical, and/or tactical data for individual and/or team sport performance
10.
Demonstrate appropriate communication strategies in either written, visual and/or oral formats to a range of stakeholder commensurate with their expertise.
11.
Identify areas of (applied) sports performance that could benefit from small-scale research: design conduct and evaluate an appropriate study.
12.
Demonstrate analytical, and synthesis skills to identify, conduct and communicate complex data/research in performance analysis.
13.
Apply appropriate research methodology in order to translate and advance existing knowledge and inform practice in sports performance analysis.
14.
Engage in advanced discussion about contemporary performance analysis approaches and their strengths and limitations.
15.
Critically evaluate complex research and translate into accessible information to inform applied practice.
16.
Demonstrate an ability to work independently and problem solve while dealing with the elements of unpredictability and complexity that presents in practice.
17.
Demonstrate knowledge and competence in research ethics.
18.
Demonstrate the occurrence of reflective practice within their personal and professional development.
19.
Critically review their professional practice and the implications this practice has upon their stakeholders.
20.
Communicate effectively orally, electronically, and in writing
21.
Use IT effectively as both a learning and communication tool.
22.
Work confidently, both as an individual and as part of a team, both on the course and in the workplace.

Teaching, Learning and Assessment

In Semester 1 and 2 (October to May) students will engage with a blended-learning approach which includes online asynchronous material (readings, tasks, lectures, discussion boards) which students can engage with at their own time and pace; scheduled synchronous (live) sessions online, and scheduled classroom-based synchronous live sessions (workshops, guest lectures). Scheduled activities will be combined with individual support from the module tutor. Lectures and tutorial/seminars constitute the formal elements of the course and are essential activities that will support achievement of learning outcomes. The live sessions are action-oriented and student-centred to encourage ‘deep’ as opposed to ‘surface’ learning and give students the opportunity to apply their understanding to various performance analysis scenarios. There will be one scheduled live classroom-based session in Terms 1 and 2.

In Semester Three, students will work both face-to-face and online with their individual supervisor on their research dissertation.

The assessment strategy ensures that students’ coursework is assessed through a variety of tasks and encourages application of theoretical knowledge in practice. Developing students’ soft and transferable skills is also very important, and the assessment tools require that students learn and use a range of methods, such as written essays and reports, case studies oral presentations. This helps to develop students’ skills and competencies to transmit and communicate knowledge effectively. 

Feedback given to the students is comprehensive, individualised and contains feedforward, i.e., provides clear guidance as to how students can improve their result. In cases where a student did not pass an assessment component, very detailed feedback is required to ensure the student understands how to address the gaps in knowledge and skills that were demonstrated.

Opportunities for work related learning

Work-related learning (placements) will be a key aspect of this master’s degree. All module leaders have considerable experience of working in performance analysis settings. Moreover, industry experts and practitioners will provide guest lectures on highly specialised performance analysis topics. However, the major work-based learning will occur in-line with students' personal and professional circumstances as part of a work placement in module 7514SPOSCI Personal and Professional Development. Students will have a chance to develop their skills in a ‘real working context’ consisting of 180 hours of work-related learning. The placement will be supervised by an academic practitioner and the student will also receive on-site supervision through the placement provider. Any placement will comply with the University (PI) Code of Practice for Placements.

Programme Structure

Programme Structure Description

Students are required to achieve 180 credits for Master of Science conferment with a minimum pass grade of 50%. Alternate exit awards will be designated as Postgraduate Diploma in Sports Performance Analysis i.e., all taught modules comprising a total of 120 Level 7 credits except module 7516SPOSCI Sports Performance Analysis … For more content click the Read More button below.

Entry Requirements

Other international requirements

HECoS Code(s)

(CAH03-02) sport and exercise sciences