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The current and official versions of the course specifications are available on the web at https://www.usq.edu.au/course/specification/current.
Please consult the web for updates that may occur during the year.

CIS8025 Big Data Visualisation

Units : 1
School or Department : School of Business
Grading basis : Graded
Course fee schedule : https://www.unisq.edu.au/current-students/administration/fees/fee-schedules
Version produced : 25 March 2023


Enrolment is not permitted in CIS8025 if CIS8701 has been previously completed.


Data has become an important resource for organisations. Many thousands of terabytes of data come into organisations daily through transactional data, sensor networks and social media. IT professionals increasingly working in multidisciplinary teams have the responsibility of communicating this data effectively to the key stakeholders in organisations. Drawing on data visualisation theory, concepts and design and the use of advanced data visualisation tools, big data can be presented into visual form for quick and easy comprehension so that accessible and readily discernible evidence can drive the decision-making process within an organisation.

This course provides students with a sound grounding in data visualisation theory, concepts and design. Students will develop the knowledge and skills to apply best practice principles in the design and implementation of data visualisation applications that utilise big data in ways that inform decision making for organisations. The course requires student to apply fundamental and advanced aspects of data visualisation theory and design principles as well as the methods and techniques for creating user-oriented data visualisation solutions using a data visualisation tool. Students will implement, through a hands-on team project, elements of sound data visualisation design, while developing an appreciation of the ethical considerations and need for strong policy to protect the privacy and security of citizens' data.

Course offers

Study period Mode Campus
Semester 1, 2023 On-campus Toowoomba
Semester 1, 2023 Online
Semester 2, 2023 On-campus Toowoomba
Semester 2, 2023 Online
Date printed 25 March 2023