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 Applications, or equivalent, as recognised by UWA.
Internet-based Test (iBT): An overall score of 82 with a minimum score of: 22 in the Writing section; 18 in the Reading section; 20 in the Speaking section; and 20 in the Listening
IELTS (Academic) including IELTS for UKVI (Academic): Minimum overall score of 6.5 with no band less than 6.0 (must include Academic Reading and Writing modules)
PTE (Academic): Postgraduate Research Studies applicants: An overall score of 64 with a minimum score of 64 in the reading and writing sections, and no less than 54 in the other sections.
The Master of Data Science provides students with 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.
Students 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.
Students will also acquire essential skills in high performance computing.
CRICOS CODE: 093310E
More info: Click here
Course structure details
Conversion
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)
Core
Take all units (48 points):
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)
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.
OSHC: 530 ($) per year
