Apply for Data Analytics and Visualisation Specialisation

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Data Analytics and Visualisation

Postgraduate specialisation

Become a specialist in data analytics and visualisation.

Course outline
  • Qualification
    Data Analytics and Visualisation Specialisation
  • Credit


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



In this Master of Information Systems and Technology specialisation, you’ll develop the skills required for senior-level roles in data analytics and visualisation.

You’ll learn to understand and apply broad concepts in data mining, business intelligence and data interpretation to make informed business decisions. 

As a consumer and producer of data, you’ll learn about data management and security practices, and develop an understanding of the legal and ethical issues related to collecting and using data.

Please refer to the handbook for additional course overview information.

What you'll learn

  • apply data analytics techniques to large and complex datasets, using statistical, machine learning, and data mining methods to extract insights, identify patterns, and make data-driven decisions, GC1, GC3.
  • create effective data visualizations and dashboards, by selecting appropriate visual encoding techniques, designing clear and concise interfaces, and presenting insights in a way that is engaging and understandable to different stakeholders, GC2, GC3.
  • develop and implement data analytics solutions, including data preparation, integration, and transformation, and use cloud-based tools and technologies to support scalable and efficient data processing and analysis, GC1, GC4, GC5, GC6.
  • evaluate the ethical and legal implications of data analytics, by understanding and applying principles of data governance, privacy, and security, and by ensuring that data analytics and visualization projects adhere to relevant regulations and standards
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?

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  • 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.

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  • Curtin course code: SPPC-DAVIS
  • Last updated on: 17 May 2024

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