GraduateEngineering
Master of Advanced Manufacturing with Data Analytics
Queensland University of Technology, Brisbane, QLD, Australia
About this program
QUT's Master of Advanced Manufacturing with Data Analytics is a two-year degree in the Faculty of Engineering, taught at the Brisbane campuses. It pairs the advanced manufacturing curriculum, covering automation, robotics and digital production, with data analytics, so graduates can both design modern production systems and use the data they generate. Graduates work as automation, industrial, operations and process engineers with an analytics focus.
Fees & duration
English test scores
Verified qut.edu.au ↗
Course structure
Study plan in 3 parts
- Year 1
- Semester 1: Research Methods for Engineers
- Advanced Materials
- Introduction to Statistics for Data Science
- Data Analytics and Optimisation
- Decarbonisation for Sustainable Production
- Year 1
- Semester 2: Project 1
- Advanced Manufacturing
- Leadership in Digital Manufacturing
- Industry 4.0 in Engineering Practice
- Year 2
- Semester 1: Project 2
- Industry 5.0 in Engineering Practice
- Robotic Manufacturing
- Data Analytics for Strategic Decision Makers
Career & PR pathway
Which careers in Engineering lead to skilled migration depends on the occupation, not the degree title. See the skilled occupation lists guide for which occupations are on each list, and the points calculator to check where you stand.
Admissions
Digital and Robotic Manufacturing major: 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 engineering degree plus at least 2 years full-time professional experience in manufacturing.
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