Prerequisites
Successful completion of an Australian bachelor degree (or equivalent).
Prior learning developed through relevant work experience or professional accreditation, where it is deemed to be at least equivalent to that obtained through a Bachelor degree, may be considered. In making an offer to an applicant, the University will give consideration to a range of factors, including academic record, English proficiency and/or employment experience.
Specialisation - compulsory: Sport and/or business and/or STEM-/or relevant industry experience as determined by Course Coordinator
IELTS (Academic) score of 6.5 with no individual band score less than 6.0
TOEFL Internet based (iBT): overall score of 79 with 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing.
La Trobe College Australia ELICOS (LTCA): completion of EFS level 6B with minimum 60% overall and 60% in final exam.
La Trobe College Australia Foundation Studies (LTCA): completion of Foundation studies with 60% in English (Academic Communication).
Pearson Test of English (Academic) (PTE): overall score of 58 with no communicative skill score less than 50.
Cambridge Certificate of Advanced English (CAE): 176 with no less than 169 in any component.
At the elite level of sport, the smallest details can mean the difference between winning and losing. Those details come to life in the emerging field of sport analytics.
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 apply your knowledge to sport. Whatever your background, our academics and industry partners will support you to succeed.
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.
CRICOS code: 103840C
More information: click here
Study options
Core subjects
Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.
Year 1
academic integrity module
advanced sport analytics
analytical methods in sport
database fundamentals
introduction to programming
predictive analytics
principles of sport analytics
sport analytics in practice
sport data capture
Year 2
sport analytics project a
sport analytics project b
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.
530 AUD/year
