This course will provide you with an in-depth background to predictive analytics, data security, data mining, business applications and computing, including basic concepts of data analysis and visualisation. Please refer to the handbook for additional course overview information.
Learn how to manage, protect and leverage data collected from everyday activities to drive business decisions, solve social problems, and inform better healthcare with a Graduate Diploma in Artificial Intelligence and Data Science.
Entry Requirements
Recognised Australian Computer Society (ACS) -accredited Bachelor's degree in IT (AQF Level 7); OR recognised Bachelor's degree (AQF Level 7) plus an approved qualification in IT (AQF Level 8); OR recognised Bachelor's degree(AQF Level 7) plus two years of relevant IT experience; OR recognised Honours degree (AQF Level 8) plus relevant IT experience. Recognition of relevant and current informal or non-formal learning may be used for entry requirements, and should be discussed with the Academic Chair.
You will learn the basics of predictive data analytics, and the concepts of data analysis, computing and visualisation. You will also find out how these concepts can be used to predict future scenarios. Please refer to the handbook for additional course overview information.
Health data analysts take data from a range of sources including electronic health records, medical images, government records and smart devices, and employ advanced techniques to reveal underlying trends and anomalies.
