Master of Data Science
The University of Western Australia (UWA)
Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00126G
The Master of Data Science gives you the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organization 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, visualization, internet-based applications, and software project management.
Structure
Credit Points 96
Subjects
- CITS1401 Computational Thinking with Python
- CITS1402 Relational Database Management Systems
- STAT2401 Analysis of Experiments
- STAT2402 Analysis of Observations
- CITS4009 Computational Data Analysis
- CITS4012 Natural Language Processing
- CITS4407 Open Source Tools and Scripting
- CITS5504 Data Warehousing
- CITS5508 Machine Learning
- CITS5553 Data Science Capstone Project
- STAT4064 Applied Predictive Modelling
- STAT4066 Bayesian Computing and Statistics
- BUSN5003 Data Storytelling
- CITS4402 Computer Vision
- CITS4403 Computational Modelling
- CITS4404 Artificial Intelligence and Adaptive Systems
- CITS4419 Mobile and Wireless Computing
- CITS5014 Data Science Research Project Part 1
- CITS5015 Data Science Research Project Part 2
- CITS5017 Deep Learning
- CITS5503 Cloud Computing
- CITS5505 Agile Web Development
- CITS5506 The Internet of Things
- CITS5507 High Performance Computing
- ECON5570 Health Analytics
- GENG5505 Project Management and Engineering Practice
- INMT5526 Business Intelligence
- MGMT5504 Data Analysis and Decision Making
- PHYS4021 Quantum Information and Computing
- PUBH4401 Biostatistics I
- PUBH5769 Biostatistics II
- PUBH5785 Analysis of Linked Health Data
- PUBH5802 Advanced Analysis of Linked Health Data
- STAT4063 Computationally Intensive Methods in Statistics
- STAT4065 Multilevel and Mixed-Effects Modelling
- STAT5061 Statistical Data Science
Standard entry requirements
- A bachelors degree, or an equivalent qualification, as recognized by UWA and
- The equivalent of a UWA weighted average mark of at least 65 percent and
- Completed ATAR Mathematics Methods, or equivalent, as recognized by UWA.
Study information
| Campus | Fees | Entry | Mid year intake | Attendance |
|---|---|---|---|---|
| Crawley | Domestic: $60,200 International: $92,800 | No |
|
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