Data scientists 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.
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 diagnoses and treatment in the health industry and 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. You will graduate from this course equipped to enter a range of industries where data science is key to innovation.
Students undertake a capstone project in their final year, in the unit Industrial Project, where they apply their mathematical skills to a problem in industry.
Please refer to the handbook for additional course overview information.
How to apply
This major sits within the Bachelor of Science degree. To apply for this major, you will apply for the Bachelor of Science. In step 3 of the application process, you will be asked to confirm the major you wish to study.
Applying as an undergraduate student is easy. For information tailored to your situation, visit our easy to follow instructions to get your application started.
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