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SPUC-HLTDA

Health Data

Undergraduate specialisation

There is growing demand for experts who can collect and analyse health data.

Course outline
  • Qualification
    Health Data Specialisation
  • Credit

    Credit

    100
Course outline

Select your preferred degree

This course belongs to multiple degrees. Select the single degree or double degree below to see the application deadlines.

Course outline

Outline

Outline

The rise in digital technology and the increase in data make this an exciting time for public health and related health disciplines.

The COVID-19 pandemic highlights the importance of public health experts and their use of data to understand disease and response to pandemics.

This specialisation helps you develop the skills you need for today’s job market. You’ll learn how to analyse big data to reveal patterns and trends, and learn about data capture, cyber security, data visualisation and how artificial intelligence and machine learning are being used in health.

You’ll also grow your interpretive and decision-making skills and know how to present your results effectively to different audiences.

The specialisation consists of four units dealing with big data, health governance, geographic information systems (GIS), visualisation and the application of health data produced by machine learning and artificial intelligence.

To study this specialisation, you will need to apply for the Bachelor of Science (Health Sciences).

What jobs can the Health Data course lead to?

Careers

  • Health data analyst
  • Data management officer
  • Community development officer
  • Researcher

Industries

  • Health research
  • Local and state government
  • Non-government organisations
Credit for recognised learning (CRL)

Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Fees and charges

Fee information is not available for this course at this time. Find estimated course fees.

Looking for more detail on the course structure?

View course structure
  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

    The information on this page may be subject to change. In particular, Curtin University may change the content, method or location of delivery or tuition fees of courses.

    While Curtin uses reasonable efforts to ensure that the information provided on this page is accurate and up to date, errors and omissions sometimes occur. Curtin makes no warranty, representation or undertaking (expressed or implied) nor does it assume any legal liability (direct or indirect) for the accuracy, completeness or usefulness of any information.

    View courses information disclaimer.

  • Curtin course code: SPUC-HLTDA
  • Last updated on: 18 April 2024

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