Persuasive Data Visualisation and Communication

Persuasive Data Visualisation and Communication is available as a postgraduate-level MBA subject offered by the International College of Management, Sydney (ICMS). Please click the button below to find a postgraduate course.

Subject Code:

DAT802A

Subject Type:

Specialisation

Pre-requisite:

• DAT701A Analytics for Business Intelligence 
• Course level study pre-requisite: a total of 16 credit points (4 subjects) prior to enrolling into the subject. 

Subject Level:

800

Credit Points:

4 credit points

Subject Aim:

In today’s world, business has access to tremendous amounts of data, which allows them to generate valuable business insights. However, these insights only translate into actions and business outcomes if they can be effectively communicated to relevant stakeholders. This subject introduces students to the fundamental concepts and strategies underpinning data visualisation and data storytelling.

Students will apply a wide range of cutting-edge data visualisation principles to make the results of the analysis relevant and digestible for a broad audience. In addition, students acquire the essential skills needed to effectively communicate the insights through persuasive and compelling data stories.

The subject places a strong emphasis on the combination of the three key elements of storytelling (data, visualisations, and narratives) to not only communicate insights effectively but also to drive change in organisations. In addition, the subject helps students to leverage the latest insights in neuroscience and cognitive psychology to understand how the facts and narratives are processed by the receivers.

Learning Outcomes:

a) Apply the persuasive data storytelling and data visualisation design techniques.

b) Critically evaluate and create persuasive data stories that drive change and innovation using best practice storytelling evaluation criteria.

c) Perform interviews with target audiences to derive and implement design implications for persuasive data stories.

d) Develop effective visualisations by applying insights from Gestalt principles and cognitive pattern recognition, using contemporary visualisation technology tools.

e) Effectively communicate data analysis results to target groups using persuasive data visualisation and storytelling techniques to influence business decision making and to embrace innovation and change within an organisation.

Assessment Information:

Learning outcomes for this subject are assessed using a range of assessment tasks as described in the table below.

Broad topics to be covered: 

Please note that these topics are often refined and subject to change so for up to date weekly topics and suggested reading resources, please refer to the Moodle subject page.