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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.
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CSC8002 Big Data Management

Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Mathematics, Physics & Computing
Grading basis : Graded
Version produced : 1 December 2022


Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS.


Businesses and scientists are collecting more data than ever before. This course is designed to equip the students with computers skills and concepts required to ensure that the data collected is secure, stored and retrieved efficiently, and presented in a useful form. It is also designed to ensure that graduates have the qualitative and information technology skills needed to handle the challenge of data volume, velocity, and variety.

This course is intended for students experienced in statistical analysis, experimental design, and basic systems design, and focuses on the coordination, management and utilization of data using modern computer data base management systems. This course, in emphasizing the reliable, scalable, distributed and efficient handling of data of any size, develops the pragmatics of managing data, alongside with retrieval and analysis of information.

Course offers

Study period Mode Campus
Semester 2, 2022 On-campus Springfield
Semester 2, 2022 On-campus Toowoomba
Semester 2, 2022 Online
Semester 3, 2022 Online
Date printed 1 December 2022