GraduateInformation Technology
Master of Data Analytics
Queensland University of Technology, Brisbane, QLD, Australia
About this program
QUT Master of Data Analytics is a 192 credit point degree, two years full-time or four years part-time, made up of 108 credit points of core units including a 36 credit point capstone, plus 84 credit points of specialisation units. Specialisations are biomedical data science, computational data science, statistical data science, and information systems analytics. Entry requires a recognised bachelor degree in information technology, mathematics or biomedical science with a GPA of at least 4.0 on the QUT 7-point scale, plus QUT English language requirements, and an early exit with a Graduate Certificate in Data Science is available. Graduates build skills in programming, data processing, statistical modelling, data systems and data-driven decision-making, and work across banking and finance, media, health, education, information technology, engineering, agriculture and mining. Indicative international tuition is around A$45,200 per year.
Fees & duration
English test scores
Verified qut.edu.au ↗
Course structure
Study plan in 4 parts
- Year 1
- Semester 1: Programming Fundamentals
- Data Analytics for Strategic Decision Makers
- Introduction to Statistics for Data Science
- Year 1
- Semester 2: Introduction to Data Science
- Machine Learning
- Introduction to Research
Year 2, Semester 1
- Phase 1Industry Project
- Phase 1Industry Research Project
Year 2, Semester 2
- Phase 2Industry Project
- Phase 2Industry Research Project
Career & PR pathway
Which careers in Information Technology lead to skilled migration depends on the occupation, not the degree title. See the skilled occupation lists guide for which occupations are on each list, and the points calculator to check where you stand.
Admissions
2 year program: a recognised bachelor degree (or higher qualification) in any discipline with a minimum GPA of 4.00 (on QUT's 7 point scale). 1.5 year program: a recognised bachelor degree in information technology, mathematics, or biomedical science with a minimum GPA of 4.00.
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