COMP8535 Engineering Data Analytics
S16 units8000-level
Data-driven decision-making is an essential component of emerging systems that generate and consume very large amounts of sensing data from autonomous vehicles to digital pathology. This course covers technologies and methodologies necessary for inferring useful information and identifying underlying patterns from often raw, incomplete, noisy and corrupted data that is present in real-life applications. It will also give students the opportunity to explore advanced solutions of data analytics such as dimensionality reduction, sparse encoding, compressive sensing, nonlinear filtering, manifold learning, and generative data modelling.
- 2024S1
- 2025S1
- 2026S1
- 2027S1
Prerequisites in 2026
The handbook's wording is ambiguous; this is a person's reading of it
All of
One of
- enrolment in the Master of Computing (Advanced)
- enrolment in the Master of Machine Learning and Computer Vision
- 12 units of 6000-level COMP courses
Why it's read this way: "Studying: A OR B" is a list of programs, and the AND that follows applies to both.
The handbook's wording, and when it changed
To enrol in this course you must be studying Master of Engineering or Master of Machine Learning and Computer Vision or Master of Computing (Advanced)
To enrol in this course you must be studying: Master of Computing (Advanced) OR Master of Machine Learning and Computer Vision AND have completed 12 units of 6000-level COMP coded courses.
What it leads to in 2026
No course names COMP8535 in its 2026 prerequisites.