Master of Sport Analytics

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Overview

Designed in collaboration with industry, La Trobe’s Master of Sport Analytics gives you the skills and experience needed to excel in this exciting and fast-growing industry. It's an ideal choice if you're already working in sport and want to upskill, or have an interest in data analytics and want to … For more content click the Read more button below. Learn how to use data to boost athlete performance and wellbeing. You’ll get hands-on experience with industry-standard technologies, such as wearable sensors (Catapult GPS and IMeasureU accelerometers), computer vision and video annotation software (Keemotion and Sportscode), and athlete management systems. See where your new skills could take you. You’ll cover talent ID, athlete management, performance and injury modelling, and broadcasting and fan engagement during your degree. You’ll develop an intricate understanding of cutting-edge machine learning techniques and use advanced analytics tools, including R, Python and SQL – all required for a successful career in sport analytics and data science. In your second year, you’ll have the opportunity to complete a practical learning project. You could work under the supervision of an industry expert or academic and hone your data analysis skills in a real industry setting. Previous students have completed projects with Tennis Australia, AFL Victoria, Champion Data, and Carlton and St Kilda Football Clubs. You'll learn:Sport analytics methodsUnderstand the basic practices for capturing, handling, cleaning and processing data generated from sport.Generating insights from dataLearn how to use data to develop insights into talent identification, athlete management, injury management and fan engagement.Machine learning techniquesUnderstand and use data-programmed machines to detect patterns and predict future sporting events.Data visualisationsLearn to select and use analytical tools and visualisations to clearly communicate outcomes and findings.

Learn how to use data to boost athlete performance and wellbeing. You’ll get hands-on experience with industry-standard technologies, such as wearable sensors (Catapult GPS and IMeasureU accelerometers), computer vision and video annotation software (Keemotion and Sportscode), and athlete management systems.

See where your new skills could take you. You’ll cover talent ID, athlete management, performance and injury modelling, and broadcasting and fan engagement during your degree. You’ll develop an intricate understanding of cutting-edge machine learning techniques and use advanced analytics tools, including R, Python and SQL – all required for a successful career in sport analytics and data science.

In your second year, you’ll have the opportunity to complete a practical learning project. You could work under the supervision of an industry expert or academic and hone your data analysis skills in a real industry setting. Previous students have completed projects with Tennis Australia, AFL Victoria, Champion Data, and Carlton and St Kilda Football Clubs.

You'll learn:

Sport analytics methods
- Understand the basic practices for capturing, handling, cleaning and processing data generated from sport.
Generating insights from data
- Learn how to use data to develop insights into talent identification, athlete management, injury management and fan engagement.
Machine learning techniques
- Understand and use data-programmed machines to detect patterns and predict future sporting events.
Data visualisations
- Learn to select and use analytical tools and visualisations to clearly communicate outcomes and findings.

Portfolio

Office of the Provost

School

Course coordinator

David Carey

Location(s)

Melbourne (Bundoora)

CRICOS code

103840C

Course instance contact

David Carey

Course duration (full time)

2 years

Course duration (part time)

4 years

Study level

Postgraduate

AQF level

Level 9 - Masters Degree

Available only as an exit award

Study options

Domestic

International onshore

Completion requirements

To qualify for the award of Master of Sport Analytics, students must complete 240 credit points as follows: 240 core credit points

Course structure
240 credit points

Level one120 credit points

Upon completion of Level one, students have the option to exit with a Graduate Diploma in Sports Analytics (HGSA).

Core120 credit points

Level two120 credit points

Course intended learning outcomes

On successful completion you will be able to:

Expertly evaluate and apply professional knowledge and skills autonomously or in a team to a range of sport analytics problems and performance analysis settings

Critically appraise data collection technology and innovations to make informed decisions and solve complex problems

Engage in continuous professional development through reflective practice, self-directed learning and the development of new skills and analysis techniques.

Communicate and collaborate professionally with a diverse range of stakeholders using a range of communication strategies and visual analytic tools

Plan and execute research projects that inform sport analytics practice

Career outcomes

New technologies and growing demand for insights and performance analysis have created exciting opportunities for sport analysts. Employers in a range of industries – including sport technology companies, gaming and sport clubs – are looking for people with specialised sport analysis skills. You could pursue a career as a:

Sport analyst
- Provide insights and advice about various sports data to inform decision-making.
Data scientist
- Use statistical tools and methods, machine learning and programming skills to extract and interpret data.
Game analyst
- Analyse data from games, including playing patterns and problems, and present information to inform improvements.
Data analyst
- Collect, process, clean and analyse data from various sources to produce reports and insights.

Internal course relationships

Nested

Graduate Certificate in Sport Analytics

Graduate Diploma in Sport Analytics

Replaces

Core participation requirements

Cognition

Strength and mobility

Sensory (visual, auditory, tactile, olfaction)

Behavioural and relational skills

Additional costs

WWCC

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Immunisations

Where a health placement will be undertaken in a health care setting, you may be required to provide immunisation/vaccination and health screening records. This is to help protect you from contracting vaccine-preventable diseases and/or from transmitting infection to clients. It is also required to ensure that State and Territory legislative requirements and contractual obligations to health care facilities are met. Details on disciplines with mandatory document requirements are available on the Health placements webpage.

Handbook