MSc Sports Performance Analysis

Program Overview

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The MSc Sports Performance Analysis program at Bournemouth University combines coaching and data science principles to train students in the theoretical and practical aspects of performance analysis. Through industry collaborations and a work placement, students gain real-world experience and prepare for careers in sports performance analysis, data science, and related fields.

Program Outline

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Degree Overview:

The MSc Sports Performance Analysis program at Bournemouth University is designed to equip students with the theoretical foundation and practical expertise needed to excel in a career in sports performance analysis. The program emphasizes a unique and innovative approach to performance analysis, blending coaching and data science principles. It is crafted in collaboration with industry experts, ensuring relevance and practical application.

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Objectives:

• Understand the processes, technologies, and responsibilities of a performance analyst within a multi-disciplinary team.
• Develop a unique performance analysis identity based on creative and innovative approaches.
• Learn from research-active expert academics and guest speakers with strong industry ties.
• Gain valuable experience through a 150-hour work placement, building professional networks and enhancing career prospects.
• Develop advanced professional skills crucial for careers in Performance Analysis, transferable to other career paths.

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Outline:

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Program Structure:

• Full-time: 12 months, including a 150-hour placement.
• Part-time: 24 months, including a 150-hour placement.

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Modules:

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Core Units:

• Applied Performance Analysis Workflows: This unit focuses on the systematic steps and processes involved in performance analysis, referred to as a workflow.
Students will distinguish between various roles within the field, develop individual philosophies of performance analysis, and learn how to effectively communicate and integrate players, coaches, and other stakeholders into the process.
• Data Science for Sport: This unit introduces data science within a sporting context.
Students will learn how to effectively communicate complex datasets using graphical and visual formats.
• Professional Practice and Placement: This unit assists students in critically reflecting upon and enhancing their intrapersonal, interpersonal, and analytical skills essential for navigating the challenges and dilemmas of the sports industry as part of a multidisciplinary team.
• Tactical Analysis of Sport: This unit involves a detailed examination and interpretation of the strategic elements and decision-making processes employed by teams or athletes during competitive events.
Students will learn to uncover patterns, strengths, weaknesses, and effective strategies to inform coaching decisions and enhance overall performance.
• Future Innovations in Performance Analysis: This unit immerses students in creatively tackling contemporary challenges and anticipating future complexities through a project/case-based learning approach.
Students will engage in creative exploration, proposing innovative solutions ranging from creating mobile apps and new technologies to developing new performance indicators.
• Independent Project: This unit empowers students with the knowledge, skills, and critical thinking abilities required to undertake a self-directed research project.
Students will explore and contribute to their field of expertise through a blend of theoretical understanding and practical application of research methods.

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Placement:

• A minimum of 150 hours of placement is compulsory.
• Typically undertaken during semesters 2 and 3.
• Students are required to find their own placement, but a dedicated placement development coordinator and advisor will assist where necessary.

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Assessment:

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Assessment Methods:

• The specific assessment methods and contact hours for each unit are detailed in the program specification.

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Teaching:

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Teaching Methods:

• The program utilizes a blend of theoretical and practical learning approaches, including lectures, seminars, workshops, group projects, and individual assignments.

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Faculty:

• The program is taught by staff with relevant expertise and knowledge appropriate to the content of the unit.
This includes senior academic staff, qualified professional practitioners, and research students, many of whom are actively engaged in research and/or professional practice.

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Unique Approaches:

• The program emphasizes a unique and innovative approach to performance analysis, blending coaching and data science principles.
• The program is crafted in collaboration with industry experts, ensuring relevance and practical application.
• Students have access to cutting-edge performance analysis hardware and software used by professional sports organizations.
• The program provides opportunities for students to immerse themselves in real-world scenarios through extended placements with external sports partners or University performance athletes.

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Careers:

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Potential Career Paths:

• Performance Analyst
• Business Analyst
• Data Scientist
• Data Analytics
• Lecturer/Teacher

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Industries Worked In:

• Grass-roots to Elite sports teams
• Private and independent finance sector
• Education
• Academic research

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Outcomes:

• The program equips students with the academic and practical skills required for professional practice.
• The program is geared towards graduates in fields such as sports science, exercise physiology, and related areas.
• The program provides the tools and expertise to thrive in the dynamic field of sports performance analysis.
• The program is dedicated to making a measurable impact on athletic excellence through innovative research, active industry collaboration, and a dedication to making a measurable impact.

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For UK, ROI & CI: £10,000 For Int'l: £17,500 per year Fee regions explained: UK: United Kingdom ROI: Republic of Ireland CI: Channel Islands & Isle of Man Int'l: International The remainder of your fee will be payable on registration/enrolment/