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.

Teaching Periods


Parramatta - Victoria Rd


Subject Contact Quang Vinh Nguyen Opens in new window

View timetable Opens in new window

Sydney City Campus - Term 2

Sydney City


Subject Contact Mahsa Razavi Opens in new window

View timetable Opens in new window