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CSC6002 Big Data Management

Units : 1
School or Department : School of Mathematics, Physics & Computing
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Requisites

Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170 or STA6200) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS

Overview

In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024.

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

精东传媒app period Mode Campus
Semester 2, 2023 On-campus Springfield
Semester 2, 2023 On-campus Toowoomba
Semester 2, 2023 Online
Transition Semester 3, 2023 9W Online
Date printed 9 February 2024