ITECH2302 Big Data Management
This course introduces students to the core concepts, theories and technologies involved in managing big data. Focusing on computing models, architectures, approaches and software to manage big data, students will develop their understanding of practical applications and challenges by managing and analysing big data in a distributed and/or parallel fashion. Students will be introduced to the use of big data management framework Hadoop, big data storage techniques, distributed and parallel computing, Map-Reduce and big data management and analytic approaches. Students will have the opportunity to engage in areas of study including big data stream processing, big data management with data mining and visual analysis for managing big data.
Commonwealth supported place (CSP)
A CSP is subsidised by the Australian Government and students pay a contribution amount. Each unit is classified into a band, depending on the study area of the unit (this discipline may be different from the study area of your course).
2025 contribution amount* $1,164
2025 grandfathered contribution amount* $1,164
Grandfathered contribution amount - if you are a continuing student, who commenced your course before 1 January 2021, you will continue paying the same amount as you would have, had legislative reforms not been implemented, for any units that would otherwise have an increased student contribution amount.
* For Clinical Psychology & Professional Pathways bands the unit fee amount is determined by accredited courses. Students in Postgraduate Clinical Psychology, Professional Pathway Psychology or Professional Pathway Social Work accredited courses should refer to the information below.
