Students
Tuition Fee
AUD 49,200
Per year
Start Date
Medium of studying
On campus
Duration
1.5 years
Details
Program Details
Degree
Masters
Major
Data Analysis | Data Science | Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
AUD 49,200
Intakes
Program start dateApplication deadline
2025-03-01-
2025-09-01-
About Program

Program Overview


Master of Data Science

Course Details

The Master of Data Science is a postgraduate degree that provides students with the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives.


Careers and Further Study

The Master of Data Science prepares students 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

Students will be able to find employment in a large range of companies and organisations across the resources, finance, commerce, and utility sectors.


Fees and Scholarships

Domestic Student Fees
  • Annual course fee: $30,600.00 (2025)
  • Full-Fee Paying Place
International Student Fees
  • Annual course fee: $49,200.00 (2025)

Admission Requirements

To be considered for admission to this course, an applicant must have:


  • A bachelor's degree, or an equivalent qualification, as recognised by UWA
  • The equivalent of a UWA weighted average mark of at least 65 per cent
  • Completed ATAR Mathematics Methods, or equivalent, as recognised by UWA

English Competency

English is the language of instruction and assessment at UWA, and students will need to meet the English language requirements of the University to be eligible for a place.


  • Minimum overall IELTS score of 6.5, with no band less than 6.0

Course Structure

The course comprises a number of units, including:


  • Conversion units (up to 24 points)
  • Core units (48 points)
  • Option units (24 points)

You'll Learn To

  • Harness existing data science technologies to manage and analyse large or complex data sets
  • Evaluate emerging data science technologies and techniques and their potential application to a wide variety of problems
  • Apply appropriate techniques for data management, representation, analysis, and presentation
  • Identify the trade-offs to be considered when planning a new data management project, using a combination of new and existing components

Work Integrated Learning

The Data Science Capstone Project provides a unique experience where students can integrate and apply their skills to a substantial real-world data science project.


Graduate Story

Prathyusha Sangam is a graduate of the Master in Data Science program at UWA and is now working as a Data Scientist at Wesfarmers Chemicals, Energy and Fertilisers (WesCEF).


"The course at UWA offers a great mix of everything to become a successful data scientist, with the flexibility to specialise through electives. The highlight of the course for me was my Data Science Research Project on characterizing urban attractor hubs using Transperth ticketing logs. My supervisor was an amazing mentor. Outside of the classroom, my time as a volunteer at Robogals and as a postgrad student representative at the PMC education committee are on top of my list."


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