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Unit of Study: Topics in Big Data Analytics
Unit Snapshot
- Unit type: PG Coursework Unit
- Credit points: 12
- Faculty/College: Faculty of Science and Engineering
- Placement: No
- Enrolment information: N/A
Unit Description
This unit familiarizes students with contemporary issues, methods, tools, and techniques in big data analytics, focusing on research-based learning.
Unit Content
The unit covers the following modules:
- Module 1: Contemporary issues in big data analytics
- Module 2: Advanced methods in big data analytics
- Module 3: Advanced big data analytics tools and techniques
- Module 4: Designing advanced big data analytics solutions
- Module 5: Evaluating big data analytics solutions
- Module 6: Research directions in big data analytics
Availabilities
The unit is not currently available in 2026.
Learning Outcomes
On completion of this unit, students should be able to:
- Discuss theoretical concepts, methods, and applications of big data
- Identify, analyze, and communicate contemporary issues in big data analytics to stakeholders
- Develop an in-depth theoretical understanding of a contemporary topic in big data analytics
- Develop advanced algorithms and prototypes to demonstrate contemporary big data analytics techniques
University Information
The university acknowledges and pays respect to the ancestors, Elders, and descendants of the Lands upon which they meet and study, recognizing that these Lands always were and always will be Aboriginal Land.