Data Science
Master of Data Science
Learning Mode
Full Time
Duration
2 Years
Start date
February, July
Qualification
Master of Data Science
Fees
AUD 49,200.00
Location
Perth (Crawley Campus), Western Australia
About the Course
The Master of Data Science (MDS) at The University of Western Australia (UWA) is a comprehensive and advanced postgraduate program designed to equip students with the essential skills to navigate and lead in the world of big data. This program provides deep knowledge and practical expertise in statistical modelling, machine learning algorithms, data management, and the ethical application of data science techniques. You will learn to extract meaningful insights from complex and large datasets, build predictive models, and develop data-driven solutions for real-world problems, preparing you for a high-demand career as a data scientist or data analyst.
Career prospects
Graduates of the Master of Data Science program are in exceptionally high demand across a vast array of industries, including technology, finance, mining, healthcare, government, research, and consulting, both in Australia and internationally. The program prepares students for specialized and leadership roles such as Data Scientist, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, AI Specialist, Quantitative Analyst, and Research Scientist. Our strong emphasis on research-informed teaching, hands-on projects, and a robust understanding of both the technical and ethical dimensions of data ensures graduates are well-equipped for impactful and evolving careers in the data-driven economy.
Why choose UWA for a Master of Data Science?
Industry Connected
Collaborate with WA’s top tech, health, and resource sectors through internships, projects, and expert industry mentoring.
Global Opportunities
Internationally recognised degree equips graduates for global data roles in AI, big data, and analytics.
Professional Accreditation
Accredited by ACS, ensuring global recognition and career readiness for data science and IT professionals.
Course Overview
The Master of Data Science program at UWA offers a rigorous and intellectually stimulating learning experience, designed to develop highly skilled and innovative data professionals. The curriculum blends advanced theoretical concepts from computer science and statistics with extensive practical application through specialized units, challenging projects, and research opportunities. Students will gain expertise across the entire data science lifecycle, from data collection and cleaning to advanced analytics, machine learning model deployment, and effective communication of insights. The program fosters critical thinking, complex problem-solving, and the ability to innovate and manage data-driven solutions, preparing graduates for leadership and specialist roles in the digital economy.
Course Duration
Length of the course
- 2 years full-time (for applicants with a non-cognate Bachelor’s degree, includes conversion units)
Mode of Study for international students:
- Full-time (on-campus)
Course Curriculum
The Master of Data Science curriculum is structured to provide a comprehensive and advanced understanding of data science principles, tools, and applications, culminating in a significant project or thesis.
- Conversion Units (for 2-year pathway, 24 points):
- For students from non-cognate backgrounds, includes foundational units like Computational Thinking with Python, Relational Database Management Systems, Analysis of Experiments, and Analysis of Observations.
- Core Data Science Units (48 points):
- Advanced units that may include Computational Data Analysis, Natural Language Processing, Open-Source Tools and Scripting, Data Warehousing, Machine Learning, Applied Predictive Modelling, and Bayesian Computing and Statistics.
- Electives:
- Students can choose from a diverse range of elective units to tailor their education to specific interests and career goals, including advanced topics in Artificial Intelligence, Business Analytics, or specialized statistical methods.
- Capstone Project (6 or 12 points):
- A significant individual or team-based project, often industry-focused (Data Science Capstone Project), where students apply their knowledge to solve a real-world data problem. A research thesis option may also be available.
Admission Requirements
- Academic qualifications
- A Bachelor’s degree (or equivalent qualification) from a recognized university.
- A weighted average mark (WAM) of at least 65% (or equivalent) in your undergraduate studies.
- Completion of ATAR Mathematics Methods, or equivalent, as recognized by UWA.
- For the 1.5-year program, a Bachelor’s degree in a cognate area (e.g., Computer Science, Software Engineering, Statistics, Mathematics, Physics, Engineering, or a highly quantitative discipline).
- For the 2-year program, a Bachelor’s degree in any discipline with a demonstrated aptitude for mathematics and computing.
Language Proficiency
- English language requirements (e.g., IELTS, TOEFL)
- For international students, demonstrated English language proficiency is required. Acceptable tests include IELTS (Academic) with a minimum overall score of 6.5 (with no band less than 6.0), or equivalent TOEFL iBT scores (e.g., overall, 82, with minimums: L18, S17, R18, W22).
Fees and Funding
Tuition Fees:
- Annual Fees: AUD 49,200.00
Scholarships and Bursaries:
- The University of Western Australia offers various postgraduate scholarships, including those for academic excellence, research training, and for international students, particularly in STEM and IT fields. These opportunities can significantly assist with tuition fees and living expenses. Prospective students are encouraged to explore the UWA scholarships website for detailed information and application processes.
Career Opportunities
Graduates of the Master of Data Science program are in exceptionally high demand for their ability to derive insights from data and build intelligent systems. Potential job roles include: Data Scientist, Machine Learning Engineer, Data Engineer, AI Specialist, Business Intelligence Developer, Quantitative Analyst, Research Scientist, Data Consultant, Statistician, and roles in advanced analytics and predictive modelling. Industries employing our graduates span technology companies, mining and resources, financial services, healthcare, government, education, retail, and any sector leveraging big data for strategic decision-making, innovation, and competitive advantage, both in Australia and internationally.
Contact Us
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