Address
Melbourne (Bundoora) Campus
Plenty Road and Kingsbury Drive
Melbourne Victoria 3086
Australia
CRICOS course code: 092396B
Level of study: Postgraduate
Summary
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$ 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.
The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 9.
CAREER OUTCOMES
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.
Accreditation, registration and/or membership details for this course may be found on the La Trobe University website.
Click here for more details on this course.
Tuition Fees (AUD $) | Start date | Duration | Campus |
---|---|---|---|
36,800 Per Year |
14 Nov 2022 27 Feb 2023 |
2 years
Full time |
La Trobe University Melbourne (Bundoora) Campus Plenty Road and Kingsbury Drive Melbourne Victoria 3086 Australia |
Successful completion of an Australian bachelor degree (or equivalent).
English language requirements
IELTS (Academic) score of 6.5 with no individual band score less than 6.0
TOEFL Internet based (iBT): overall score of 79 with 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing.
Pearson Test of English (Academic) (PTE): overall score of 58 with no communicative skill score less than 50.
C1 Advanced: 176 with no less than 169 in any component.
C2 Proficiency: 176 with no less than 169 in any component.