This subject introduces students to big data analytics as a tool for addressing and applying new analytical methods and algorithms to process large volumes of data in the context of information technology. Students will be introduced to the key practical concepts behind big data analytics. Students will also learn how to successfully extract value from massive volumes of structured and unstructured data to contribute towards informed decision making processes. Students will be provided an overview of the methods and techniques that help automate data analysis such as data mining, machine learning and artificial intelligence. Students will also be introduced to well-known software analytic tools used in this area.
School of Computing and Mathematics
Only available to postgraduate students
Basic understanding of database structures is required to complete this subject successfully. Students without database knowledge are encouraged to enrol in ITC556 prior to attemtpting this subject.
The information contained in the CSU Handbook was accurate at the date of publication: January 2020. The University reserves the right to vary the information at any time without notice.