Master of Data Science
Natural sciences, mathematics and statistics
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 et
Official- Duration
- 2 years
- Qualification
- Masters Degree (Coursework)
- AQF 9
- Campus
- Joondalup
- WA · +2 more campuses
- Course code
- CRICOS 103286B
Campus images supplied directly by the institution.
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 analyzed/utilised.Data Science is a significant area of growth and potential employment in Australia and the Asia-Pacific region.
Entry requirements
Requirements are recorded per intake year and per audience. Meeting them does not guarantee an offer.
Bachelor degree in a cognate discipline or; Where accepted, equivalent prior learning, including at least five years relevant professional experience.
English language
Band minimums apply in addition to the overall score.
- IELTS AcademicOverall 7.5L 8 · R 7 · W 7 · S 8
- TOEFL iBTOverall 102L 28 · R 24 · W 27 · S 26
- PTE AcademicOverall 73L 79 · R 65 · W 65 · S 79
- Cambridge C2 ProficiencyOverall 191L 200 · R 185 · W 185 · S 200
- Cambridge C1 AdvancedOverall 191L 200 · R 185 · W 185 · S 200
Additional requirements
Academic entry requirement
Bachelor degree in a cognate discipline or; Where accepted, equivalent prior learning, including at least five years relevant professional experience.
Intakes and tuition
Tuition is recorded per intake with the institution's own basis. Superseded rows are kept so fee changes stay visible.
| Intake | Campus | Starts | Applications close | Tuition | For |
|---|---|---|---|---|---|
| 2027 · Rolling intake | — | — | — | $42,400per year | International students |
Where it is taught
Online
WA
References
Official course page, institution website and the sources behind this profile.
- Master of Data Scienceecu.edu.au
- Edith Cowan Universityecu.edu.au
- CRICOS provider recordOfficial source
- ECU admission requirements for applicants from ChinaOfficial source
- ECU Bachelor of Preclinical Foundations of Imaging ScienceOfficial source
- ECU Bachelor of Science (Exercise Science and Rehabilitation)Official source
- ECU Bachelor of Science (Occupational Therapy)Official source
- ECU Bachelor of Speech PathologyOfficial source
- Course entryOfficial source
- QS World University Rankings 2027Official source