Master of Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon October 2026

Course Overview

The Master of Data Science at the University Of Western Australia equips you with the advanced analytical methodologies and computational skills essential for transforming data into actionable insights. In a world increasingly driven by data, this postgraduate degree is designed for individuals eager to master statistical foundations, machine learning techniques, and data management technologies. You will explore how to effectively collect, store, visualise, and analyse complex datasets, preparing you to address significant challenges and opportunities within the dynamic field of data science.

This full-time, on-campus Master of Data Science is studied over two years. Your learning journey will involve core units in computational data analysis, machine learning, and data warehousing, alongside a significant capstone project. You will also have the opportunity to select from a range of elective units, including specialisations like artificial intelligence, deep learning, or health analytics, allowing you to tailor your expertise. You will graduate with a robust portfolio and the practical skills to pursue diverse career paths in data science, analytics, and related technological fields.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Data Science program equips students with advanced computational and analytical skills. Core subjects cover areas such as machine learning, natural language processing, data warehousing, and computational data analysis, culminating in a capstone project. Students can further specialize through a wide range of elective units, exploring topics like computer vision, deep learning, health analytics, or statistical data science, allowing for tailored career preparation.

1 Core

Computational Data Analysis
Natural Language Processing
Open Source Tools and Scripting
Data Warehousing
Machine Learning
Data Science Capstone Project
Applied Predictive Modelling
Bayesian Computing and Statistics

2 Option - Group A

Data Storytelling
Computer Vision
Computational Modelling
Artificial Intelligence and Adaptive Systems
Mobile and Wireless Computing
Data Science Research Project Part 1
Data Science Research Project Part 2
Deep Learning
Cloud Computing
Agile Web Development
The Internet of Things
High Performance Computing
Health Analytics
Project Management and Engineering Practice
Business Intelligence
Data Analysis and Decision Making
Quantum Information and Computing
Biostatistics I
Biostatistics II
Analysis of Linked Health Data
Advanced Analysis of Linked Health Data
Computationally Intensive Methods in Statistics
Multilevel and Mixed-Effects Modelling
Statistical Data Science

3 Conversion Units

Computational Thinking with Python
Relational Database Management Systems
Analysis of Experiments
Analysis of Observations

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 37,300.00
Second Year Fee Tuition fee
USD 37,300.00
Total Program Cost Estimated total tuition
USD 74,600.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 580.00 - USD 1,974.00
Food & Groceries USD 2,122.00 - USD 2,971.00
Transport USD 849.00 - USD 1,698.00
Utilities & Bills USD 849.00 - USD 1,698.00
Estimated Total USD 3,820.00 - USD 6,367.00

Living cost estimates are based on Crawley Campus.

Outcomes & Employability

What happens after you graduate

85%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingConsumer Finance & Credit ServicesCustomer Experience & SupportDevOps & Site Reliability EngineeringEducational Support ServicesEnergy Engineering & InfrastructureHealth, Safety & Environment (HSE)Insurance & Risk ManagementMining Engineering & OperationsSoftware Development & Engineering

Top Employers Hiring for this course

BHP

Deloitte

Department of Education Western Australia

Google

NAB

Oracle

Tata Consultancy Services

Why Study Master of Data Science at University of Western Australia

What makes this program stand out

October 2026 Closing soon

Next intake is in October 2026

Very Fast Application response time

University of Western Australia typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at University of Western Australia in Australia

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Master of Data Science at University of Western Australia

Can I work while studying?

International students can work up to 48 hours per fortnight during term time and unlimited hours during breaks. No separate work permit is required.

What English language score do I need for this course?

To meet the English language requirements, you need an overall IELTS score of 6.5, with minimum scores of 6 in listening, reading, speaking, and writing. This ensures you can engage fully with the course material.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Analysts, and Data Engineers.

What will I actually study in this course?

The Master of Data Science equips you with skills in analytical methodologies and high performance computing. You’ll learn about data management technologies, software project management, and how to communicate new technologies effectively.

When can I start — what are the intake months?

The Master of Data Science has intakes in February, July, and October. This allows you to start your studies at a time that suits you best.
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