24 months
32400 AUD/year
Tuition fee
Apply date
Start date


Organisations in every industry are asking big questions. With a Master of Data Science (Online) from La Trobe University under your belt, you’ll have the skills to help answer them.

Visit the official programme website for more information


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 Master of Data Science (Online) from La Trobe University 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.

Career outcomes

After graduation, you could work across a range of industries, including business and finance, science, education, health, and sports.

  • Data scientist
    • Understand complex data and leverage it to the advantage of businesses and organisations.
  • Business analyst
    • Understand how businesses run and use data to solve problems and improve processes.
  • Health analyst
    • Gather, analyse and verify healthcare information.
  • Bioinformatician
    • Develop methods of research and analysis for understanding and leveraging biological and genomic data.
  • Machine learning engineer
    • Use your detailed understanding of machine learning, big data, cloud technology and mathematics to create effective machine learning solutions.

Programme Structure

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.

Key information


  • Full-time
    • 24 months

Start dates & application deadlines

More details
  • We encourage you to submit your application as soon as possible. Some courses could close early if all offers have been made.




240 alternative credits



Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • CRICOS Provider Code Number 00115M
  • Successful completion of an Australian bachelor degree (or equivalent).

Tuition Fee

To alway see correct tuition fees
  • National

    32400 AUD/year
    Tuition Fee
    Based on the tuition of 32400 AUD per year during 24 months.

Commonwealth Supported Places (CSP) may be available.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Master of Data Science (Online)
La Trobe University


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