GraduateComputer Science
Master of Data Science
University of Western Australia, Perth, WA, Australia
About this program
The University of Western Australia's Master of Data Science degree. 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.
Fees & duration
English test scores
Verified uwa.edu.au ↗
Course structure
- CITS1401Computational Thinking with Python
- CITS1402Relational Database Management Systems
- STAT1400Statistics for Science
- STAT2403Regression Models for Data Science Core: CITS4009 Fundamentals of Data Science
- CITS5508Machine Learning
- CITS5553Data Science Capstone Project
- STAT4064Applied Predictive Modelling
- STAT5405Bayesian Computing and Statistics Option - Group A: CITS4407 Open Source Tools and Scripting
- CITS5503Cloud Computing
- CITS5504Data Warehousing
- CITS5507High Performance Computing Option - Group B: CITS4012 Natural Language Processing
- CITS4402Computer Vision
- CITS4404Artificial Intelligence and Adaptive Systems
- CITS5014Data and Information Technologies Research Project Part 1
- CITS5015Data and Information Technologies Research Project Part 2
- CITS5017Deep Learning
- STAT4065Multilevel and Mixed-Effects Modelling
- STAT5061Statistical Data Science Option - Group C: BUSN5003 Data Storytelling
- CITS4403Computational Modelling
- CITS5505Agile Web Development
- CITS5506The Internet of Things
- INMT5526Business Intelligence
- MGMT5504Data Analysis and Decision Making
- STAT4063Computationally Intensive Methods in Statistics
- SVLG5001McCusker Centre for Citizenship Internship
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
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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