Master of Data Science with Specialisation in Sport Analytics

La Trobe University - Melbourne Campus

Australia,Victoria

 0 Shortlist

24 Months

Duration

CAD 41,000/year

Tuition Fee

CAD 0 FREE

Application Fee

Mar 2025

Apply Date

Australia, Victoria

Type: University

Location Type: Semi-Urban

Founded: 1964

Total Students: 36,000 +

Int. Students: 7,000 +

Campus Detail

Main Campus Address

Plenty Road and, Kingsbury Dr, Bundoora VIC 3086, Australia

Master of Data Science with Specialisation in Sport Analytics

Program Overview

Data science professionals are in high demand in today's data-driven world. Whether you're already working in data science, or you're ready to make a career change, our Master of Data Science prepares you for a successful career in this exciting field.

Designed in collaboration with our industry partners, this degree gives you the knowledge, skills and hands-on experience to transition from university to the workplace. And with two early exit points along the way, you can be sure that every subject is contributing to your career.

You'll build fundamental skills in programming, databases, probability, statistics, data exploration and analysis. Got a particular interest in artificial intelligence, bioinformatics or sport analytics? This degree allows you to specialise in these areas and others, such as big data and cloud computing, business applications and data modelling and analytics.

As you study, you'll have opportunities to work with our industry partners on real-world projects and take on an industry work placement. If your sights are set on a research career, you can choose to undertake a thesis in computer science or statistics.

Every step of the way, our supportive and highly qualified teaching staff will be there to offer ongoing support and advice.


You'll learn:

  • Data science
    • Get practical experience with open-source software and platforms, including Python, R and Hadoop.
    • Understand database fundamentals, programming languages such as Java and Python, and cloud-based services offered by Amazon, Google, IBM and Microsoft.
  • Mathematics and statistics
    • Learn how to create complex models and use powerful tools for advanced analysis and problem-solving.
    • Build your skills using real data sets from our industry partners and learn how to solve data challenges facing businesses and organisations.
  • Project management: Learn how to manage large-scale IT projects and work in a team to develop a small-scale, industry-based system.
  • Complementary skills in other disciplines: Boost your knowledge through electives in business, health sciences, artificial intelligence and cybersecurity.

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