Postgraduate
Master of Data Science
Contact us
Address
Student Central
The University of Western Australia (M355)
35 Stirling Highway
Perth
Western Australia
6009
Telephone
131 UWA (131 892)
Frequently asked questions
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Careers and further study
Take your studies to a new level and discover what career opportunities lie ahead.
Career Pathways
As the global demand for data expertise is booming and only set to grow further with the surge of big data and AI, you’ll graduate with the skills for an internationally mobile career.
The Master of Data Science prepares you for a career as a data scientist or data analyst and in roles such as:
- Analyst
- Business Intelligence Analyst
- Management Consultant
- Market Research Analyst
- Statistician
You will be able to find employment in a large range of companies and organisations across the resources, finance, commerce and utility sectors. In Western Australia, Data Science graduates are required for specialised data mining within the resource sector.
Career Opportunities
Analyst
Intelligence Analyst
Management Consultant
Managing Director
Further Study
Fees and scholarships
Learn more about the fees that apply to you for this course.
Postgraduate - fee paying students
The Annual Fee is an estimate only based on a standard annual study load of 48 points.
For Commonwealth Supported Places, student contribution amounts are charged by unit. For an accurate fee estimate, go to the Fee Calculator and select “I want to price my units”.
For Full Fee Paying places, students are charged an annual course fee. Visit the Fee Calculator and select your course to see the annual and total course fees.
Industry partner discount
Scholarships
Scholarships are available to students from a diverse range of backgrounds, including academic achievement, financial need, educational disadvantage, leadership and community service, artistic or sporting achievements, and being from a rural or remote area.
Cost of living
Postgraduate – onshore students
Annual course fees are calculated based on a standard annual study load of 48 credit points.
Scholarships
Scholarships are available to students from a diverse range of backgrounds, including academic achievement, financial need, educational disadvantage, leadership and community service, artistic or sporting achievements, and being from a rural or remote area.
Cost of living
Admission requirements
If you’re interested in furthering your career by studying this postgraduate degree, find out the admission details below.
Admission Requirements
(a) a bachelor's degree, or an equivalent qualification, as recognised by UWA;
and
(b) the equivalent of a UWA weighted average mark of at least 65 per cent;
and
(c) completed ATAR Mathematics Applications, or equivalent, as recognised by UWA.
Ranking and Selection Process
English competency
How to apply
Course details
The demand for data specialists shows no sign of slowing. Big data and analytics now drive and inform strategic decision making and innovation in engineering, finance, health and almost every industry.
Take on the big data challenges of tomorrow and be a sought-after data specialist capable of making new discoveries through data analysis.
About the course
Quick details
- Available
- Perth (Crawley campus)
- Full-time
- Part-time
- On-campus
- Semester 1, Semester 2
- 12 hours per unit including contact hours, personal study and examinations.
- Postgraduate
- 62530
- 093310E
Why study this course?
- The course has been developed alongside our industry partners to ensure you will learn the latest skills and knowledge to further your career.
- You’ll make lifelong connections through our vibrant student and professional communities such as the UWA Data Science Student Club and Perth Machine Learning Community, which organise industry meet-ups to give you opportunities to network with future employers and industry partners.
- You’ll get hands-on experience working on real-world data sets and projects to harness the power in data, with opportunities to choose streamlined units in Business, Population Health, Artificial Intelligence, Systems and Statistics.
Prathyusha Sangam
Prathyusha Sangam is a graduate of the Master in Data Science program at UWA and is now working as a Data Scientist at Wesfarmers Chemicals, Energy and Fertilisers (WesCEF).
"The course at UWA offers a great mix of everything to become a successful data scientist, with the flexibility to specialise through electives. The highlight of the course for me was my Data Science Research Project on characterizing urban attractor hubs using Transperth ticketing logs. My supervisor was an amazing mentor. Outside of the classroom, my time as a volunteer at Robogals and as a postgrad student representative at the PMC education committee are on top of my list."
Course structure
Postgraduate coursework degrees and combined (coursework and research) degrees comprise a number of units. Refer to the course structure for more information.
You'll learn to
- harness existing data science technologies to manage and analyse large or complex data sets
- evaluate emerging data science technologies and techniques and their potential application to a wide variety of problems
- apply appropriate techniques for data management, representation, analysis and presentation
- identify the trade-offs to be considered when planning a new data management project, using a combination of new and existing components
Hands-on experience
With a major data science project on your resume you’ll be an attractive candidate to future employers. The Data Science Capstone Project provides a unique experience where you can integrate and apply your skills to a substantial real-world data science project.
The Capstone Project will lead you through a sizeable team-based effort – mentored by academics and industry practitioners you’ll go through the full data science practice life cycle and gain invaluable professional skills for a career in data science.
Additionally, through the substantial individual research project, selected students will be able to further develop and demonstrate their research and implementation skills to address topics at the leading edge of data science. You will benefit from close interaction with our leading researchers in ‘Complex Data Modelling’, 'Machine Learning Applications for Physical Sciences' and 'Systems for Knowledge Discovery from Data' and their key industry partnerships.
*Enrolment in the Data Science Research Project is by invitation only.
UWA is Ranked 1st in WA for Computer Science and Information Systems
Course accreditation
Industry partner discount
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Student clubs
Whatever you’re interested in, you’ll find people here to share your journey.
Enhance your employability while making lifelong friends and connections by joining one of our many student clubs, such as:
- UWA Data Science Club
- Computer Science Student's Club
- Coders for Causes
- Ethical Hackers Group
- UWA Programming Competition Society (PCS)