Master of Data Science
Postgraduate | ECU-DSC-MAS | 2022
Course information for 2022 intake View information for 2024 course intake
Develop your career in a fast-growing sector
Fill the gap in organisations on the hunt for expert data wizards. Draw on your passion for maths, stats and science in a field that’s tipped for strong future growth. Think critically about collecting, storing, analysing and communicating data.
- Study method
- 100% online
- Assessments
- 100% online
- Credit available
- Yes
- Total subjects
- 10
- Price from
- $53,600
- Available loans
- Australian Higher Education Loan Program (HELP)
Master of Data Science
About this degree
At the end of the program, students of the Master of Data Science can:
- 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 sciences problems.
- Use high level self-management skills to initiate, plan and execute a substantial data science focused project.
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 area of growth and potential employment in Australia and the Asia-Pacific region.
Recommended study pattern
Year 1 - Semester 1
- CSI6208 Programming Principles 20
- MAT5212 Biostatistics 20
- MAT6105 Mathematical Fundamentals 20
Year 1 - Semester 2
Students who commence the course midyear will complete their second and third semesters in reverse order.
- MAT6104 Applied Multivariate Statistics 20
- SCI6120 Science Communication and Ethics 20
- CSI6209 Artificial Intelligence 20
Year 2 - Semester 1
- MAT6206 Data Analysis and Visualisation 20
- CSI6207 Systems Analysis and Database Design 20
- MAT6100 Time Series Forecasting 20
Year 2 - Semester 2
Research or Industry Focused Capstone Project - Default Option
- CSI6224 ^ Applied Project 60
OR
Work Integrated Learning – For Approved Placements
- CSI6223 ^ Work Experience Project 60
Award requirements
Students are required to complete 10 units.
- CSI6208 Programming Principles 20
- MAT5212 Biostatistics 20
- MAT6105 Mathematical Fundamentals 20
- MAT6104 Applied Multivariate Statistics 20
- SCI6120 Science Communication and Ethics 20
- CSI6209 Artificial Intelligence 20
- MAT6206 Data Analysis and Visualisation 20
- CSI6207 Systems Analysis and Database Design 20
- MAT6100 Time Series Forecasting 20
Research or Industry Focused Capstone Project - Default Option
- CSI6224 ^ Applied Project 60
OR
Work Integrated Learning – For Approved Placements
- CSI6223 ^ Work Experience Project 60
ECU is ranked one of the world’s best young universities and Australia’s best public university for teaching quality. That quality extends to more than 30,000 students, many studying online through Open Universities Australia. ECU offers the same quality of teaching to you, regardless of where you’re studying in the world. Their flexible study solutions include a huge range of online courses, recognising your need to juggle work, family or other commitments.
Learn more about ECU.
Explore ECU courses.
- QS Ranking 2024:
- 28
- Times Higher Education Ranking 2024:
- 25
How to apply
Edith Cowan University manages enquiries and applications for this degree.
Complete your details and we'll make sure your enquiry is sent to Edith Cowan University who will contact you to discuss this degree.
Don't worry, we're still here to help you - you'll receive a personalised follow-up from an Open Universities Australia student advisor to make sure you have found the right degree for you.
Entry requirements
Academic admission requirements (Band 6) may be satisfied through completion of one of the following:
- Bachelor degree; or
- Equivalent prior learning including at least five years relevant professional experience.
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 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 relevant professional experience; or
- Other tests, courses or programs defined on the English Proficiency Bands page.
If you're applying for a course and have previous study or professional experience, you may be eligible for what we call 'advanced standing'.
For more information and to apply please go to https://www.ecu.edu.au/future-students/course-entry/advanced-standing
Career opportunities
This course provides students with the opportunity to engage in a semester-long work-orientated project or a work-integrated experience. This provides an excellent springboard for employment following this degree. Career pathways available to data science graduates include data scientist, data analyst, machine learning scientist, statistician, informatician, computational scientist. Graduates of this course will also have the option to pursue further study at the PhD level.
Possible future job titles
Data Scientist, Data Analyst, Informatician, Computational Scientist
Career outlook
- ICT Business and Systems Analysts:
- Over $120K
- Intelligence and Policy Analysts:
- $93K to $120K
- Intelligence Officers:
- $93K to $120K
- Software and Applications Programmers:
- $93K to $120K
- Software Engineers:
- Unknown average