24 monthsProgramme duration
31,200 AUDTuition Fee/year
2Scholarships
Feb, Sep, MayStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
- UniSQ’s Master of Data Science (Data Analytics) provides an opportunity for graduates from all disciplines to gain useful knowledge in Big Data with a specific focus on Data Analytics. Data Science helps organisations to extract new insights from raw data; insights which inform the development of new products, improved services and new businesses in our increasingly data reliant world.
- Learn how to find the patterns from the historical data, understand the present, and predict the future using data addressing a wide range of operational contexts.
- From big data management, machine learning and data mining, to programming and big data visualisation, you will be prepared for a career in a dynamic and fast-paced industry.
- Work independently and collaboratively to apply key ICT and data science technologies and programming skills to interpret major theories and critically investigate and solve contemporary core issues in a global market.
- You'll have the opportunity to select between two different pathways of research in your masters degree:
- Research Project track — this pathway equips you with research skills and enables you to develop a research thesis in applied data science through an independent project in your chosen disciplinary application area.
- Research Training track — this pathway allows you to develop your research capability and gain specialised cognitive and technical computational and information system skills to prepare for a professional career in science or your chosen disciplinary application area.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
- UniSQ’s Master of Data Science (Data Analytics) provides an opportunity for graduates from all disciplines to gain useful knowledge in Big Data with a specific focus on Data Analytics. Data Science helps organisations to extract new insights from raw data; insights which inform the development of new products, improved services and new businesses in our increasingly data reliant world.
- Learn how to find the patterns from the historical data, understand the present, and predict the future using data addressing a wide range of operational contexts.
- From big data management, machine learning and data mining, to programming and big data visualisation, you will be prepared for a career in a dynamic and fast-paced industry.
- Work independently and collaboratively to apply key ICT and data science technologies and programming skills to interpret major theories and critically investigate and solve contemporary core issues in a global market.
- You'll have the opportunity to select between two different pathways of research in your masters degree:
- Research Project track — this pathway equips you with research skills and enables you to develop a research thesis in applied data science through an independent project in your chosen disciplinary application area.
- Research Training track — this pathway allows you to develop your research capability and gain specialised cognitive and technical computational and information system skills to prepare for a professional career in science or your chosen disciplinary application area.
Admission Requirements
- 3-year bachelor degree from an Australian university, or equivalent, in any area or
- a minimum of 5 years' professional work experience equivalent to an AQF Level 7 qualification (bachelor).
Tuition fees
Domestic
International
Scholarships
International Student Support Scholarship 2027
Value
10% tuition fee waiver
Deadline
31 Dec 2027
Application requirements
QS Event Attendance is NOT required
Entry requirements
University of Southern Queensland
Value
15% tuition fee waiver
Deadline
31 Dec 2027
Application requirements
QS Event Attendance is NOT required
Entry requirements
University of Southern Queensland
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