Advanced manufacturing is important for the world as it couples manufacturing efforts together to get the most sustainable output. This course prepares you to design, optimise and improve modern manufacturing systems with new technologies that are coming into the market every day to engineer a holistic and circular manufacturing approach.
You will develop important data analytics skills that will provide value to future employers and help you get ahead in your career. The data analytics component of your degree will teach you to turn data into insight and intelligence to drive change and make key decisions. As Australia's top research institution for Data Mining and Analysis, QUT is the best university to learn from expert academics and leading researchers.
This course is designed for engineers with a background in mechanical, medical or chemical and sustainable process engineering looking to upskill or be introduced to the field of advanced manufacturing. You’ll graduate with innovative knowledge and skills in advanced manufacturing, specialising in digital and robotic manufacturing or bioprocess engineering.
Extra Notes
Entry Requirements
A recognised completed four-year full-time (or equivalent) engineering degree in a relevant discipline with a minimum GPA of 4.00 (on QUT’s 7 point scale); or A recognised completed three-year full-time (or equivalent) engineering degree in a relevant discipline plus at least 2.00 years full-time (or equivalent) of professional experience in manufacturing.
Remarks
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* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.