
Overview
Data analysis and modelling underpins all aspects of social and community development and thanks to the internet and smart phones there has been a dramatic growth in the scale and complexity of data that can be collected and analysed across industries including health care, sports, business practices, scientific discoveries and government policy.
To help process and navigate this vast and ever-growing mass of data, the industry desperately needs trained specialists who can understand and interpret vast amounts of data (big data), while providing effective and ethical ways to protect the privacy of that information.
Using a unique combination of interdisciplinary coursework, a strong background in research methodology and comprehensive training via industry-based projects (work-integrated learning), this course will uniquely position graduates of this course to become leaders in this field in either industry, the government sector or academia.
Study a Master of Data Science at University of Canberra and you will:
- Learn the knowledge and skills to read and interpret Big Data
- Become proficient using state-of-the-art industry tools
- Learn how to critically analyse databases and offer innovative solutions
- Gain practical skills working on real world issues
- Learn and apply professional ethics, teamwork, critical analysis, communication and management skills.
- Build strong industry networks
- Earn an industry recognised and respected qualification
- Be in demand
Career opportunities
The amount of digital data being produced daily around the world is phenomenal and as such graduates of the UC Master of Data Science course can expect to find themselves in high demand in any one of the following positions.
- Data scientist
- Data engineer
- Data analyst
- Business analyst
- Statistician
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Regression Modelling
- Inf. Sc. Research Methodology
- Pattern Recognition and Machine Learning
- Exploratory Data Analysis and Visualisation
- Data Capture and Preparations
- Programming for Data Science
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
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- StartingApplication deadline not specified.
Language
Credits
Delivered
Disciplines
Informatics & Information Technology Computer Sciences Data Science & Big Data View 140 other Masters in Computer Sciences in AustraliaExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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 University of Canberra and/or in Australia, please visit Student Insurance Portal.
Other requirements
General requirements
- An Australian bachelor degree in any field or equivalent.
- Year 12 mathematics and functional knowledge of using computer systems.
CRICOS Code: 099433A
Make sure you meet all requirements
Visit official programme websiteTuition Fee
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International
34100 AUD/yearTuition FeeBased on the tuition of 34100 AUD per year during 24 months. -
National
30000 AUD/yearTuition FeeBased on the tuition of 30000 AUD per year during 24 months.
Living costs for Canberra
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Double-check all fees
Visit official programme websiteCheck for any work restrictions
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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.