Overview

In the data science specialisation, you will undertake units in Data Analytics and Visualisation, Applied Data Mining and Essentials of Artificial Intelligence and Machine Learning.

You will also have a choice to take one extra unit from Redesign in Health Service Delivery, Policy and Planning or Leadership in Health Care.

You will graduate with practical data analytics and data visualisation knowledge and the skills required to solve real-world data problems, including data-driven solutions to support our responsibility to the common good, the environment and society.


Career opportunities

Graduates can pursue careers in:

  • hospital information technology
  • health informatics
  • business analytic roles in the healthcare sector
  • medical software
  • electronic medical records and practice management
  • biotechnology and consumer technology
  • health data
  • strategic and operational leadership
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Completion requirements

A specialisation consists of 40cp

Complete exactly 40 credit points from the following:

  • ITEC622Data Analytics and Visualisation10 CP

    PFBS - Peter Faber Business School - Faculty of Law and Business

  • ITEC623Deep Learning and Emerging topics in Artificial Intelligence10 CP

    PFBS - Peter Faber Business School - Faculty of Law and Business

  • ITEC632Data Mining Techniques and Applications10 CP

    PFBS - Peter Faber Business School - Faculty of Law and Business

  • HLSC605Leadership in Health Care10 CP

    SNMP - School of Nursing, Midwifery and Paramedicine - Faculty of Health Sciences

  • HLSC660Redesign in Health Service Delivery10 CP

    SNMP - School of Nursing, Midwifery and Paramedicine - Faculty of Health Sciences

  • HLSC607Policy and Planning in Health Care10 CP

    SNMP - School of Nursing, Midwifery and Paramedicine - Faculty of Health Sciences

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