Master of Data Science

La Trobe University

About

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.

Structure

Core subjects

Big data and cloud computing specialisation

Bioinformatics specialisation

Analytical science specialisation

Recommended Electives

Institution