USQ Logo
The current and official versions of the course specifications are available on the web at
Please consult the web for updates that may occur during the year.

CSC3502 Principles of Big Data Management

Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Mathematics, Physics & Computing
Student contribution band : Band 2
Grading basis : Graded
Version produced : 24 May 2022


Pre-requisite: CSC3400


Organisations and governments rely on meaningful data for their decision making processes. The growth of data collection has driven advances in managing and processing of large quantities of data. From businesses to government and scientists the amount of data generated has come to a point where it is difficult to find meaningful answers. There has been growth in technology to provide mechanisms to manage, analyse and distil the meaning of data for decision making. This course focuses on the management of big data sets and exposes students to tools to manage them, and applying existing statistical skills in discovering relevant information.

This course is intended for students with background skills in data analysis and systems design, and focuses on the coordination, management and utilization of data using modern computer data base management systems. Developing, analysing and managing data including privacy and ethical concerns is covered in this course. Reliable, scalable, distributed and efficient handling of data of varying sizes is emphasized.

Course offers

Semester Mode Campus
Semester 2, 2022 On-campus Springfield
Semester 2, 2022 On-campus Toowoomba
Semester 2, 2022 Online
Date printed 24 May 2022