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Edith Cowan University (ECU)

  • 19% international / 81% domestic

Master of Data Science

  • Masters (Coursework)

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.

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time, 4 years part-time
Course Code
I97, 103286b
Study Mode
Online, In person
Domestic Fees
$33,300 per year / $66,600 total
International Fees
$42,400 per year / $84,800 total

About this course

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.

Australian Qualifications Framework (AQF) level

This course has been accredited by ECU as an AQF Level 9 Masters Degree (Coursework) Award.

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.

Australian Qualifications Framework (AQF) level

This course has been accredited by ECU as an AQF Level 9 Masters Degree (Coursework) Award.

Entry requirements

Course Entry

Admission requirements you'll need to meet for this course.

  • 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.

Study locations

Online

Joondalup

Online

Career pathways

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

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at Edith Cowan University (ECU).
75.2%
Overall satisfaction
75.4%
Skill scale
68.3%
Teaching scale
79.8%
Employed full-time
$106.5k
Average salary