Accelerate your career in elite sport

Australasia's first Masters course exclusively created for sports analysts.

Apply now

Choose Master of Sports Analytics at La Trobe

Sports organisations around the globe are using highly sophisticated monitoring technology and advanced statistics to gain a competitive edge. Millions of data points are being generated every week and professionals who can interpret this data are increasingly in demand.

La Trobe’s Master of Sports Analytics has been created to respond to this emerging demand. Launch your career in a $1.5 trillion global industry* and lead the next era of competitive sport. This course was developed in close consultation with leading sports clubs and sports technology companies to prepare you for the future of this rapidly growing profession.

You’ll learn foundational sports analytics techniques that will enable you to deliver insights in strategy, recruitment and performance, using data visualisation methods taught in La Trobe’s state of the art VisLabs.

You’ll get advanced skills in data warehousing and analytics, with a specialist focus on elite sport content thanks to the expertise of La Trobe academics and our industry experts. You’ll put theory into practice with live projects and real-world case studies provided by our industry partners:

  • Carlton F.C.
  • Melbourne City F.C.
  • Catapult
  • Optus

Career opportunities

The Master of Sports Analytics has been designed with a range of educational and working backgrounds in mind. With your skills in handling large data sets, you'll make a difference in elite sport in areas including:

  • performance analysis
  • training load management
  • injury prevention
  • tactical strategies
  • player recruitment
  • technology development
  • research
  • talent identification
  • strength and conditioning.

The La Trobe Master of Sports Analytics will provide you with skills and experience in data science that can be applied beyond sports performance. Graduates will have data science skills necessary for alternate careers in industries including:

  • sports media
  • fantasy leagues
  • health
  • gaming
  • finance
  • retail.

* Plunkett Research Limited (2014, November 11). Industry Statistics: Sports & Recreation Business Statistics Analysis.

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Course details for local students

Master of Sports Analytics

Course offer year:
2018
Semester starts:
Semester 1 (March)
Fees amount:
$28,200 per 120 credit points.
Campus:
City
Duration:
1.5 years full time or part-time equivilent.
Additional information:
This course is based at the City Campus, but some subjects are taught at the Melbourne Campus.
See Student Handbook for more details:

The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options. The delivery of this course can vary between campuses. For detailed information please select the relevant campus:

Sample course structure

Year 1

Semester 1

  • Academic Integrity Module
  • Principles of Sports Analytics
  • Data Warehousing and Big Data
  • Decision Support Systems
  • Object Oriented Programming Fundamentals

Semester 2

  • Predictive Analytics
  • Visual Analytics
  • Sports Data Capture
  • Sports Analytics in Practice

Year 2

Semester 1

Research Thesis A

Students to select one level 4 or 5 elective from anywhere in the University. Refer to below for highly recommenced electives:

  • Foundations of Graduate Research
  • Methods for Graduate Research
  • Computational Intelligence for Data Analytics
  • Visual Information Systems
  • Database Fundamentals
  • Intermediate Object-Oriented Programming
  • Number Systems and Linear Algebra

Semester 1 or 2

  • Research Thesis B

This sample course structure is only indicative. For an up to date version please consult the Handbook.

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Accelerate your career in elite sport

Australasia's first Masters course exclusively created for sports analysts.

Enquire now

Choose Master of Sports Analytics at La Trobe

Sports organisations around the globe are using highly sophisticated monitoring technology and advanced statistics to gain a competitive edge. Millions of data points are being generated every week and professionals who can interpret this data are increasingly in demand.

La Trobe’s Master of Sports Analytics has been created to respond to this emerging demand. Launch your career in a $1.5 trillion global industry* and lead the next era of competitive sport. This course was developed in close consultation with leading sports clubs and sports technology companies to prepare you for the future of this rapidly growing profession.

You will learn foundational sports analytics techniques that will enable you to deliver insights in strategy, recruitment and performance, using data visualisation methods taught in La Trobe’s state of the art VisLabs.

You will get advanced skills in data warehousing and analytics, with a specialist focus on elite sport content thanks to the expertise of La Trobe academics and our industry experts. You will put theory into practice with live projects and real-world case studies provided by our industry partners:

  • Carlton F.C.
  • Melbourne City F.C.
  • Catapult
  • Optus

Career opportunities

The Master of Sports Analytics has been designed with a range of educational and working backgrounds in mind. With your skills in handling large data sets, you will make a difference in elite sport in areas including:

  • performance analysis
  • training load management
  • injury prevention
  • tactical strategies
  • player recruitment
  • technology development
  • research
  • talent identification
  • strength and conditioning.

The La Trobe Master of Sports Analytics will provide you with skills and experience in data science that can be applied beyond sports performance. Graduates will have data science skills necessary for alternate careers in industries including:

  • sports media
  • fantasy leagues
  • health
  • gaming
  • finance
  • retail.

* Plunkett Research Limited (2014, November 11). Industry Statistics: Sports & Recreation Business Statistics Analysis

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Course details for international students

Master of Sports Analytics (094172B)

Course offer year:
2017
Semester starts:
Semester 1 (February)
Fees amount ($A):
31 000
Campus:
City
Duration:
1.5 years
English language requirements:
UG & PG (incl HDR) Option 1 - Academic 6.5, no band less than 6.0
Academic entry requirements:
The minimum entry requirement is successful completion of an Australian cognate Bachelor degree (or its equivalent) in computer science and/or sport and exercise science. Prior learning developed through relevant work experience or professional accreditation, where it is deemed to be at least equivalent to that obtained through a cognate Bachelor degree, may be considered. In making an offer to an applicant, the University will give consideration to a range of factors to determine whether an applicant has demonstrated the capacity to work at a postgraduate level, including academic record, English proficiency, and/or employment experience.
Additional information:
This course is based at the City Campus, but some subjects are taught at the Melbourne Campus.
See Student Handbook for more details:

The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options. The delivery of this course can vary between campuses. For detailed information please select the relevant campus:

Sample course structure

Year 1

Semester 1

  • Academic Integrity Module
  • Principles of Sports Analytics
  • Data Warehousing and Big Data
  • Decision Support Systems
  • Object Oriented Programming Fundamentals

Semester 2

  • Predictive Analytics
  • Visual Analytics
  • Sports Data Capture
  • Sports Analytics in Practice

Year 2

Semester 1

Research Thesis A

Students to select one level 4 or 5 elective from anywhere in the University. Refer to below for highly recommenced electives:

  • Foundations of Graduate Research
  • Methods for Graduate Research
  • Computational Intelligence for Data Analytics
  • Visual Information Systems
  • Database Fundamentals
  • Intermediate Object-Oriented Programming
  • Number Systems and Linear Algebra

Semester 1 or 2

  • Research Thesis B

This sample course structure is only indicative. For an up to date version please consult the Handbook.

Contact us