Effective data visualisation bridges the gap between our data and our audience’s understanding by providing an intuitive, accessible and compelling framework for visual storytelling. During this course, students will learn the theoretical and practical foundations of effective interactive, multivariate data visualisation design for communication. Students will justify data visualisation design choices by drawing on the field’s multidisciplinary knowledge, contemporary practice, emerging trends and best practice guidelines. Students will first develop a rigorous and ethical mindset regarding data integrity, design accessibility, and publication readiness. Students will practice developing interactive data visualisations using contemporary commercial or open-source data visualisation tools for web-facing deployment. Students will apply their learning and develop their skills through regular, authentic data visualisation exercises throughout the semester, which will be captured in web-facing student portfolios. At the end of the semester, students will undertake a series of design challenges to confirm their newly developed knowledge in data visualisation design.  

If you are enrolled in this course as a component of your Bachelor Honours Program, your overall mark will contribute to the calculation of the Weighted Average Mark (WAM).

See the WAM information web page for more information.