Data Science at UWA is a major inter-disciplinary research effort that brings together a wide range of world leading experts and top research students already pushing the boundaries in extracting knowledge from data.

We have multi-disciplinary groups developing and applying the latest techniques in Data Science, Machine Learning, Artificial Intelligence, Data Management, Analytics, Optimisation and Applied Statistics, to real-world problems in Science, Engineering, Business, Medicine and the Humanities.

Over 50 researchers are already involved.

Our research covers the underlying foundational techniques as well as applications. We have teams in computer vision, machine learning development, new techniques in AI, Data gathering via sensors,  Data management, Analysis and Optimisation.

We deal with data in the form of measurements, text, images, video, audio and multi-media. Data comes from sensors, cameras, automatic transcripts, online and heterogenous sources.

Applications come from across Engineering, Physical Science, Biological Science, Medicine, Health, Business, Finance, Transport, and Society. Just a few of the current projects include short-term prediction of ocean wave behaviour, traffic congestion, optimisation of maintenance scheduling in mining supply chains, automation of measuring antibiotic effects, wildlife monitoring, detecting leaks in water supply infrastructure, …See the links to the research groups below.

Most projects involve collaboration with open of our industry partners or a specialised scientific lab.

Research student projects are available across the applications and fundamental techniques of data science.

The University also offers an innovative Masters Course Program in Data Science, attracting an increasing numbers of students. Many students are already working in industry. The course offers the opportunity to undertake a challenging individual research project with supervisors from CS or Statistics, and co-supervisors from Industry, Science or another application area.