COMP 2026 Visual Analytics
Credit Points 10
Legacy Code 301489
Coordinator Quang Vinh Nguyen Opens in new window
Description This subject introduces the fundamentals and technologies of visual analytics to understand big data. It covers major concepts of information visualisation, human computer perception and methods for visual data analysis. Students will learn knowledge and skills for identifying suitable visual analytics techniques, methods and tools for handling various data sets and applications. The subject provides students with opportunities to explore novel research in visual analytics and visualisation.
School Computer, Data & Math Sciences
Discipline Computer Science
Student Contribution Band HECS Band 2 10cp
Check your HECS Band contribution amount via the Fees page.
Level Undergraduate Level 2 subject
Students enrolled in programs other than the 3769 Bachelor of Data Science or 3770 Bachelor of Applied Data Science must have successfully completed 60 credit points.
Parramatta - Victoria Rd
Subject Contact Quang Vinh Nguyen Opens in new window
Sydney City Campus - Term 2
Subject Contact Mahsa Razavi Opens in new window