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Data Visualisation Foundations

Designed for professionals who are new to data visualisation, this course covers the fundamentals of visual analytics. Starting with an overview of the field and context of data visualisation, you will then get hands-on, exploring and preparing data sets and comparing and contrasting key visual analytics techniques.

About this course

This course introduces the core data visualisation and visual interaction (or navigation) technologies that support visual analytics and decision-making processes. Essential understanding of the procedure (loop) and the methodology of visual data analytics will be facilitated. In addition, human involvement (or input) in the loop of analytical reasoning, facilitated by interactive visual interfaces, will be discussed.

During the course, participants will develop capabilities in designing and evaluating various advanced visualisation interfaces that can be directly applied into the loop of visual data mining or visual analytics. This will allow participants to begin applying data visualisation techniques in their work or study, as well as establish foundations for further study in the field, on the way to becoming data visualisation designers or visual data analysts.     

Course outline

More information on course content

In this course, you will meet and work with a dedicated course facilitator who will support your learning and engagement with teaching resources designed by the lead academic and team of experts from the Faculty of Engineering and IT.

This course is structured into four modules. Each module comprises self-study materials and facilitated online sessions. The modules and key topics covered are:  

  • Module 1 - Introduction to data visualisation and visual analytics
  • Module 2 - Fundamental data visualisation techniques and how to apply them
  • Module 3 - Managing and preparing data for visualisation
  • Module 4 - Comparing and evaluating data visualisation techniques.

This course is delivered in a scheduled format over ten weeks.

Each week (during weeks 1 to 8) you will participate in an online session where you will have the chance to apply what you've learned, ask questions and hear from other participants who are taking the course with you. The workshops are led by the course facilitator.

Weeks nine and ten are planned to give you time to complete the final assignment, with support and scheduled Q&A sessions provided.

Key benefits of this microcredential

  • An end-to-end introduction to the field of data visualisation; learn the context, background and importance of the field, along with key techniques to get started implementing data visualisation techniques in your role
  • Develop your understanding of key techniques and concepts, experience hands-on activities and review case studies to visualise real data sets and compare approaches
  • Complete as a self-contained course, or as a potential pathway to future postgraduate study.

This microcredential aligns with the two-credit point subject, Data Visualisation and Visual Analytics (32146) in one of the following postgraduate offerings:

  • Graduate Certificate of Professional Practice (C11298)
  • Graduate Diploma of Professional Practice (C06136)
  • Master of Professional Practice (C04404)
  • Graduate Certificate of Technology (C11301)
  • Graduate Diploma of Technology (C06137)
  • Master of Technology (C04406).

This course may qualify for recognition of prior learning at this and other institutions.

Who is this course for?

This course is suitable for professionals from a wide range of sectors and backgrounds who are new to the field of data visualisation.

UTS microcredentials are developed for professionals with a capacity to undertake postgraduate tertiary education.

Course learning objectives

Upon successful completion of this course, you will be able to identify, compare, evaluate and apply appropriate data visualisation techniques and methods.  


The graded assessment task comprises an individually written assessment on data visualisation. The assignment involves comparing and evaluating different visualisations of similar or identical datasets.

Length: 2,000 words      

Teaching and learning strategies

This microcredential includes weekly, live, one-hour online tutorials and one-hour weekly Q&A sessions facilitated by an expert UTS academic, supporting self-study and online learning activities.

Case studies of real-world applications illustrate applications of key tools and techniques. The workshop sessions focus on hands-on activities and examples. Regular formative quizzes throughout the microcredential will allow participants to gauge their progress.

Participant requirements and equipment

To complete this online course, you will need a personal computer with reliable internet access, web conferencing capability and an operating system with a web browser compatible with the Canvas LMS.



05 April




10 wks


5 hrs p/w

Book a session

Mon 05 Apr 2021 -
Fri 11 Jun 2021
  • 5 April - 11 June 2021
  • Online
Mon 07 Jun 2021 -
Fri 13 Aug 2021
  • 7 June - 13 August 2021
  • Online
Mon 02 Aug 2021 -
Fri 08 Oct 2021
  • 2 August - 8 October 2021
  • Online
Mon 04 Oct 2021 -
Fri 10 Dec 2021
  • 4 October - 10 December 2021
  • Online
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