|Guaranteed ATAR||80 This is the ATAR level at which an offer of admission is guaranteed, subject to any other non-ATAR criteria being met.|
|Study method||Full-time or part-time|
|Intake||February or July|
Data scientists harness the power of data and computation to drive innovation. They work at the interface of computing, statistics, visualisation and media to collate and analyse large volumes of data and then communicate findings to a range of audiences.
Their ability to leverage big data to predict future trends is becoming an essential part of decision-making in business and government.
Data is generated at an unprecedented rate and will continue to increase into the foreseeable future.
Every industry is using the increasing availability of large volumes of data to grow: from predicting weather patterns and optimising harvesting in agriculture to improving patient diagnosis and treatment in the health industry, enhancing the management of remote infrastructure in mining, optimising supply chain logistics in consumer goods, analysing the impact of policies on economic activities, and enhancing the performance of ultra-high frequency trading algorithms.
This course is multidisciplinary, with fields of study in computing, statistics, emerging internet technologies, data and knowledge visualisation, user-experience studies and media as a means to communicate analysis results.
Foundational studies in programming and statistics form the basis of higher level studies in data mining, data security and computer simulation.
This course will build your capacity to extract, analyse and visualise large volumes of data and communicate analytical outcomes to a range of audiences.
You will graduate from this course equipped to enter a range of industries where data science is key to innovation.
Graduates from the major will be equipped to enter a range of industries where data science is key to data-driven innovation.
This course can help you become a: