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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.
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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.
Full-Fee Paying Place $31,100.00
For Full-Fee Paying places, students are charged an annual course fee, charged per credit point at a rate dependent on the course in which the student is enrolled. Annual course fees are calculated based on a standard annual study load of 48 credit points (1.0 EFTSL).
Check the
handbook
to confirm the annual study load for your course.
Visit the
Fee Calculator
and select your course type to find out more. Fees are subject to annual indexation.
More information on
how fees are calculated
.
$52,000.00
Onshore international students are charged an annual course fee, charged per credit point at a rate dependent on the course in which the student is enrolled. Annual course fees are calculated based on an annual study load. Check the
handbook
to confirm the annual study load for your course.
Find out more about international student
tuition fees
and visit the
fee calculator
for the relevant course fees.
Fees are subject to annual indexation.
Admission Requirements
To be considered for admission to this course an applicant must have—
(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 Methods, or equivalent, as recognised by UWA.
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Admission Requirements
To be considered for admission to this course an applicant must have—
(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 Methods, or equivalent, as recognised by UWA.
English is the language of instruction and assessment at UWA and you will need to meet the
English language requirements
of the University to be eligible for a place.
Minimum overall IELTS score of 6.5, with no band less than 6.0.
Ready for the next step?
Find out how to apply through our simple online application process.
We'll guide you through our entry requirements, admission pathways available to you and application deadlines for your chosen course.
We can’t wait for you to join us!
Apply now
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.
The Master of Data Science gives you the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives, to deal effectively with large data-management tasks, to master the statistical and machine-learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies.
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About the course
The Master of Data Science gives you the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives, to deal effectively with large data-management tasks, to master the statistical and machine-learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies.
As the rise of data science is a global phenomenon, the course prepares you for an international career.
You will gain a detailed knowledge of contemporary data management and analysis technologies, including those for data collection and storage, visualisation, internet-based applications, and software project management.
You will also acquire essential skills in high performance computing.
As well as undertaking advanced units in computing and statistics, you can choose from a range of units from diverse fields and understand how to apply your data science knowledge and skills across interdisciplinary domains.
The course is designed with the current and future needs of industry in mind and is ideal for graduates with a background in engineering and IT or students from other areas who wish to pursue a career in this exciting field.
1.5-2 years of full-time study (depending on the requirement to include conversion units).
Degrees course is available in
Master of Data Science
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.
Postgraduate coursework degrees and combined (coursework and research) degrees comprise a number of units. Refer to the course structure for more information.
Course structure details
Students who have completed degree studies in a non-cognate area, or equivalent as recognised by the School, must complete relevant conversion units up to the value of 24 points from this group, as advised by the School.
CITS1401 Computational Thinking with Python (6)
CITS1402 Relational Database Management Systems (6)
STAT2401 Analysis of Experiments (6)
STAT2402 Analysis of Observations (6)
CITS4009 Computational Data Analysis (6)
CITS4012 Natural Language Processing (6)
CITS4407 Open Source Tools and Scripting (6)
CITS5504 Data Warehousing (6)
CITS5508 Machine Learning (6)
CITS5553 Data Science Capstone Project (6)
STAT4064 Applied Predictive Modelling (6)
STAT4066 Bayesian Computing and Statistics (6)
Option - Group A
Take unit(s) to the value of 24 points, including a minimum of 12 points at Level 5.
BUSN5003 Data Storytelling (6)
CITS4402 Computer Vision (6)
CITS4403 Computational Modelling (6)
CITS4404 Artificial Intelligence and Adaptive Systems (6)
CITS4419 Mobile and Wireless Computing (6)
CITS5014 Data and Information Technologies Research Project Part 1 (6)
CITS5015 Data and Information Technologies Research Project Part 2 (6)
CITS5017 Deep Learning (6)
CITS5503 Cloud Computing (6)
CITS5505 Agile Web Development (6)
CITS5506 The Internet of Things (6)
CITS5507 High Performance Computing (6)
ECON5570 Health Analytics (6)
GENG5505 Project Management and Engineering Practice (6)
INMT5526 Business Intelligence (6)
MGMT5504 Data Analysis and Decision Making (6)
PHYS4021 Quantum Information and Computing (6)
PUBH4401 Biostatistics I (6)
PUBH5769 Biostatistics II (6)
PUBH5785 Analysis of Linked Health Data (6)
PUBH5802 Advanced Analysis of Linked Health Data (6)
STAT4063 Computationally Intensive Methods in Statistics (6)
STAT4065 Multilevel and Mixed-Effects Modelling (6)
STAT5061 Statistical Data Science (6)
SVLG5001 McCusker Centre for Citizenship Internship (6)
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
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.
Master of Data Science
UWA is Ranked 1st in WA for Computer Science and Information Systems
(QS 2025)
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 (CSSC)
Coders for Causes
UWA Programming Competition Society (PCS)
Discover more about all our student clubs from the UWA Student Guild.
Find out more
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."
The University of Western Australia acknowledges that its campus is situated on Noongar land, and that Noongar people remain the spiritual and cultural custodians of their land, and continue to practise their values, languages, beliefs and knowledge.
Indigenous commitment
