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La Trobe University

  • 24% international / 76% domestic

Master of Data Science

  • Masters (Coursework)

Are you ready to take on big data?Now, more than ever, the world is demanding clever solutions to society's evolving problems.Employers from a range of sectors - from science to finance - are searching for intelligent minds who understand data science and can also apply their knowledge of their...

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time
Course Code
092396B
Study Mode
In person
Intake Months
Mar, Jul
Domestic Fees
$32,400 per year / $64,800 total
International Fees
$36,800 per year / $73,600 total

About this course

Are you ready to take on big data?

Now, more than ever, the world is demanding clever solutions to society's evolving problems.

Employers from a range of sectors - from science to finance - are searching for intelligent minds who understand data science and can also apply their knowledge of their industries. However, there simply aren't enough people to fill these roles.*

To help fill this gap, we've carefully designed our Master of Data Science to give you a solid foundation in computer science, statistics and applied data analysis. Developed in partnership with industry leaders, it'll give you the opportunity to specialise in big data and cloud computing, analytical science, or bioinformatics - and also gain practical experience through a research project or an intensive industry placement with organisations like Australian Institute of Sport, Telstra or the Peter MacCallum Cancer Centre. La Trobe also has industry partnerships with Optus, Cisco and Pivot Maritime.

And you don't need a background in data analysis to study the Master of Data Science. Our course is designed as both a pathway into the industry and a next step for experienced practitioners.

Due to rising demand, the average annual income of data science professionals with a postgraduate qualification is set to increase to more than A$130 000 in 2021-22.**

You'll learn:

  • Computer 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 apply mathematics and statistics to data science problems. Process complex data and use it for the advantage of businesses and organisations. Learn using real data sets from our industry partners.
  • Data science specialisation
    • Choose a specialisation in bioinformatics, big data and cloud computing, or analytical science. Complete a research thesis or an intensive, industry-based learning project.
  • Project management
    • Learn how to manage large-scale IT projects and work in a team to develop a small-scale, industry-based system.
  • Diverse electives
    • Boost your knowledge through electives in business, health sciences, artificial intelligence and cyber security.

* Burning Glass Technologies. (2017). The Quant Crunch: How the demand for data science skills is disrupting the job market
** Deloitte Access Economics. (2018). The future of work: Occupational and education trends in data science in Australia

The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 9.

Study locations

Melbourne

Career pathways

With organisations seeking to understand the massive amounts of data now at their disposal, the need for data professionals is at an all-time high. As a graduate, you can expect to find work as a:

  • 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.
  • Business intelligence analyst
    • Design, script and build business intelligence solutions to inform how businesses operate.