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CIS8025 Big Data Analytics

Short Description: Big Data Analytics
Units : 1
Faculty or Section : Faculty of Business, Education, Law and Arts
School or Department : School of Management and Enterprise
Student contribution band : Band 2
ASCED code : 020300 - Information Systems
Grading basis : Graded


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


This course provides students with best practice principles in big data visualisation design and skills for the development of visuals that synthesise big data in ways that inform decision making for a range of organisations. The course provides both fundamental and advanced aspects of visualisation design and strategies as well as techniques for creating user-oriented visualisation designs using a range of tools. Students will explore, through a hands-on project, elements of visualisation design, and strong policy for privacy and security of citizens' data.

Course offers

Semester Mode Campus
Semester 2, 2019 On-campus Springfield
Semester 2, 2019 Online