Overview
Build on your existing undergraduate qualification and/or industry experience as you develop an in-depth understanding of activities and processes related to managing, interpreting, understanding and deriving knowledge from large data sets.
In this Master of Data Science at Swinburne University of Technology, you’ll learn how to gain meaningful insight from data obtained from business, government, scientific and other sources. Expand your knowledge and understanding of computer science and data analytics, develop skills in state-of-the-art techniques and contemporary tools covering the entire data management lifecycle.Career opportunities
Graduate will have skills in state-of-the-art techniques and experience in contemporary tools covering a variety of aspects of the entire data management lifecycle.Programme Structure
Courses included:
- Creating Web Applications
- Data Management for the Big Data Age
- Technology Inquiry Project
- Technology Design Project
- User-Centred Design
- Cloud Computing Architecture
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
- Apply before , International
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International: It is strongly advised that they consider applying at least three months in advance of their intake’s start date.
Language
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Credits
Delivered
Disciplines
Data Science & Big Data View 57 other Masters in Data Science & Big Data in AustraliaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Swinburne University of Technology and/or in Australia, please visit Student Insurance Portal.
Other requirements
General requirements
CRICOS 099117B
The admission requirements for Master of Data Science consist of:- a completed bachelor degree (or higher award) in any discipline from a recognised higher education institution or equivalent
- successful completion of the Postgraduate Qualifying Program at Swinburne
Satisfactory completion of one of the following:
- IELTS overall band of 6.5 (Academic Module) with no individual band below 6.0
- Swinburne’s English for Academic Purposes (EAP 5 Advanced level) with overall 70%, all skills 65%
- Or equivalent measures available at English language requirements.
Tuition Fee
-
International
41240 AUD/yearTuition FeeBased on the tuition of 41240 AUD per year during 24 months. -
National
32000 AUD/yearTuition FeeBased on the tuition of 32000 AUD per year during 24 months.
commonwealth supported AUD$8,948
Living costs for Melbourne
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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