GraduateEngineering
Master of Renewable Energy with Data Analytics
Queensland University of Technology, Brisbane, QLD, Australia
About this program
QUT's Master of Renewable Energy with Data Analytics is a two-year degree in the Faculty of Engineering, taught at the Brisbane campuses. It combines renewable energy engineering with data analytics as the city rebuilds infrastructure for the 2032 Olympic Games, and QUT ranks first in Australia for data mining and analysis. Graduates work as electrical and power engineers, energy analysts and consultants 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
- Asset Management and Maintenance
- Design of Renewable Energy Production Systems
- Year 1
- Semester 2: Project 1
- Production of Renewable Energy and Fuels
- Data Analytics and Optimisation
- Year 2
- Semester 1: Project 2
- Energy Policy and Financing
- Renewable Energy Project Feasibility Analysis
- Introduction to Statistics for Data Science
- Data Analytics for Strategic Decision Makers
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Electrical EngineerANZSCO 233311
On both MLTSSL and CSOL, supporting 189/190/491 and the employer-sponsored 482/186.
Assessed by Engineers Australia
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
Renewable Power major: a recognised completed four-year full-time engineering degree in a relevant discipline with a minimum GPA of 4.00 (on QUT's 7 point scale), or a three-year full-time engineering degree plus at least 2 years full-time professional experience in electrical power engineering. Renewable Energy Systems major has its own separate engineering-degree entry pathway.
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