The Faculty of Computing, Health and Science is ECU’s largest and most diverse faculty, offering a wide range of degree programs that are informed by its extensive research portfolio. Our faculty maintains strong links with industry and engages with communities in the local, national and international arenas. Our state-of-the-art facilities ensure students and researchers have access to the latest equipment used in their field.
Study areas
The Faculty of Computing, Health and Science offers a wide range of popular degree programs across the following study areas:
News & events
-
Metadata: what is unseen
Seemingly harmless, metadata has the potential to be seen by anyone.
-
Prostate Cancer Foundation, visit to Institute
PCFA tour facilities and discuss Institute's prostate cancer research.
-
Optic fibre sense salt
ECU researchers have developed a new water quality sensor utilising fibre optic nano technology.
See more news | RSS
Student testimonials
-
"My lecturers were passionate and committed."
Karina Inostroza
-
"Doing prac as part of my nursing course was an amazing experience."
Amy Heslop
-
"My course opened my eyes to so many different areas of research."
Matthew Collier
See more testimonials
Research activity
Our faculty is committed to high quality research that contributes positively to our society. We aim to develop practical solutions to current problems. Housing two of the University’s research institutes and eight research centres, our research is centred around five areas of research strength: Health and Wellness, Environment and Sustainability, Engineering and ICT Photonics, Security, and Society.
- Can exercise ameliorate treatment toxicity during the initial phase of testosterone suppression in prostate cancer patients; is this more effective than delayed rehabilitation and what is the time course and persistence of benefits?
- Bridging the gap between cultural practices and mainstream visitor management approaches to develop an integrated monitoring framework for Australia's northwest
- Agricultural data mining and geo-spatial visualisation