Master of Data Science

Master of Data Science is a good fit for students who want to build capability in Data science foundations, databases, BI/data mining, data management, analytics and visualisation; placement/thesis options. The strongest current official evidence in this research links the field to data science, analytics, bi and data-management pathways.

Qualification level
Master
Field
Information Technology
Typical duration
Varies by provider
Study destinations
4
Partner offerings
15

Course overview

Why study Master of Data Science?

  • Data science foundations
  • Databases
  • BI/data mining
  • Data management
  • Analytics
  • Visualisation
  • Placement/thesis options.

The strongest current official evidence in this research links the field to data science, analytics, bi and data-management pathways.

Career direction

Where could this course take you?

Roles this qualification is mapped to across current Grace partner evidence.

  • Data science
  • Analytics
  • BI and data-management pathways.

Professional eligibility depends on the provider’s award, accreditation, placement requirements and destination rules.

Grace partner network

Where can you study Master of Data Science?

Choose a destination to see the Grace partner options recorded for this course.

Study in Australia

Grace partners offering this course

6 Grace partner options currently shown.

Explore Australia

La Trobe University

Master of Data Science (Accelerated)

Campus
Melbourne
Duration
1.5 years
Intakes
-
International tuition
-
Provider registration
00115M

Macquarie University

Master of Data Science

Campus
Sydney
Duration
1 or 2 years
Intakes
Session 1; Session 2
International tuition
-
Provider registration
-

University of Southern Queensland

Master of Data Science

Campus
Toowoomba
Duration
2 years
Intakes
Feb; Jun; Sep
International tuition
-
Provider registration
00244B

Charles Darwin University

Master of Data Science

Campus
Darwin
Duration
-
Intakes
-
International tuition
-
Provider registration
-

Edith Cowan University

Master of Data Science

Campus
Perth
Duration
2 years
Intakes
Semester 1; Semester 2
International tuition
-
Provider registration
00279B

University of Western Australia

Master of Data Science

Campus
Perth
Duration
1.5-2 years
Intakes
Semester 1; Semester 2
International tuition
-
Provider registration
-

Destination context

Why study Data Science in Australia?

Broad university/VET choice, many applied and professionally accredited programmes, and multiple city/campus options.

Data science foundations, databases, BI/data mining, data management, analytics and visualisation; placement/thesis options.

View official destination source

Eligibility

Entry requirements

Academic requirements

Requirements vary by institution and by the official award shown above. Grace will check your prior study against the provider’s current published criteria.

English language requirements

English scores and accepted tests vary by provider. No single institution’s requirement is presented as applying to every option.

Plan in AUD

What could it cost?

University / course costs

Tuition appears on each provider card where it was recorded. Deposits and institutional fees are omitted unless evidenced.

Destination costs

Student visa (subclass 500)
A$2,500
Official financial capacity reference
A$29,710

12-month student living-cost financial capacity. This is not presented as money that will necessarily be spent. OSHC required; price varies by insurer/cover

Timing

Intakes and when to apply

Provider deadline varies. Visa application needs the study documentation/CoE; confirm current processing guidance before lodgement.

Provider-specific intake information is shown on offering cards only where it was recorded. Speak with Grace before planning around an intake.

Student questions

Frequently asked
questions.

What is Master of Data Science?
Master of Data Science is a good fit for students who want to build capability in Data science foundations, databases, BI/data mining, data management, analytics and visualisation; placement/thesis options. The strongest current official evidence in this research links the field to data science, analytics, bi and data-management pathways.
What will I learn?
Data science foundations, databases, BI/data mining, data management, analytics and visualisation; placement/thesis options.
What careers can this course support?
Data science, analytics, BI and data-management pathways. Outcomes depend on the provider award, accreditation and local professional rules.
How long does the course take?
Verified examples include: 1.5 years; 1 or 2 years; 2 years; 1.5-2 years. Check the provider offering for the applicable duration.
When should I apply?
Use the exact provider intake/deadline where published; then apply the destination visa/study-permit timing rules in the Destination Rules sheet.
Which Grace partners offer this course?
15 current Grace partner offerings are mapped across 4 destinations.

Source transparency

Course information reviewed by Grace International

Information last verified: October 2026. Fees, intakes and government requirements can change; follow official source links shown beside volatile facts.

3 verified intake patterns are represented in current provider evidence.

Personal guidance

Not sure if this course is right for you?

Speak with a Grace counsellor about courses, universities, costs and your application timeline.

Book free counselling