Edith Cowan University
Master of Data Science
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Establish a solid foundation in mathematics, statistics, and computer science while enhancing student knowledge and skills in key tools and techniques relevant to data science.
Course overview
Data Science is an inter-disciplinary field, drawing on mathematics, statistics, and computer science, that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. This course provides the necessary foundations in the disciplines of mathematics, statistics and computer science, and develops student knowledge and skills in some of the key tools and techniques relevant to data science. It also pays specific attention to ethical issues surrounding the manner in which data is gathered, stored and analysed/utilised. Data Science is a significant growth and potential employment area in Australia and the Asia-Pacific region.
Key facts
July, 2026
What you will study
To complete the Master of Data Science you must complete 240 credit points.
Core Units
- Programming Principles
- Biostatistics
- Mathematical Fundamentals
- Applied Multivariate Statistics
- Science Communication and Ethics
- Artificial Intelligence
- Machine Learning
- Systems Analysis and Database Design
- Time Series Forecasting
Electives
Choose one of the following:
- Postgraduate Science Project
- Professional Placement (Science and Mathematics)
Entry requirements
Admission requirements you'll need to meet for this course.
Academic Admission requirements (Band six)
Academic admission requirements (Band six) may be satisfied through completion of one of the following:
- Bachelor's degree.
- Equivalent prior learning, including at least five years of relevant professional experience.
English Language requirements (Band four)
English competency requirements may be satisfied through completion of one of the following:
- IELTS Academic Overall band minimum score of 6.5 (no individual band less than 6.0).
- Bachelor's degree from a country specified on the English Proficiency Bands page.
- Successfully completed 0.375 EFTSL of study at postgraduate level or higher at an Australian higher education provider (or equivalent).
- Where accepted, equivalent prior learning, including at least five years of relevant professional experience.
- Other tests, courses or programs defined on the English Proficiency Bands page.
Outcomes
Learning outcomes
- Reflect critically on a complex body of data science knowledge, research principles and methods to demonstrate mastery of professional practice.
- Apply advanced cognitive and technical skills to analyse complex concepts in authentic data science scenarios.
- Apply communication and collaboration skills in designing solutions to data science problems.
- Use high-level self-management skills to initiate, plan and execute a substantial data science-focused project.
Career outcomes
- Data Scientist
- Data Analyst
- Informatician
- Computational Scientist
Fees and FEE-HELP
Estimated first-year indicative fee 2025: $33,300 (domestic full-fee paying place)
The estimated first-year indicative fee is provided as a guide only, based on a typical enrolment of students undertaking the first year of this course. At ECU, you pay for the individual units you enrol in, not an overall course fee.
A student’s annual fee may vary in accordance with:
- The number of units studied per term.
- The choice of major or specialisation.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
Student fees shown are subject to change. Contact the university directly to confirm.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.