Data Analytics and Automated Technologies for Minerals and Energy Resources
UNSW Sydney · NSW · MERE8810
Data Analytics and Automated Technologies for Minerals and Energy Resources is a subject at UNSW Sydney, NSW in School of Minerals & Energy Resources Engineering. It covers topics like automation, data-analytics, mining-engineering. It is part of 9 degrees. The information below is compiled from public course material — approximate, not official.
UNSW Sydney
MERE8810
6.00
School of Minerals & Energy Resources Engineering
Topics covered
Degrees that include Data Analytics and Automated Technologies for Minerals and Energy Resources
- Advanced Science (Honours) / Engineering Science
- Engineering (Honours) / Engineering Science
- Engineering Science
- Engineering Science
- Engineering Science
- Engineering Science / Computer Science
- Fine Arts / Engineering (Honours)
- Mining Engineering
- Mining Engineering
Frequently asked questions
What is Data Analytics and Automated Technologies for Minerals and Energy Resources about?
Data Analytics and Automated Technologies for Minerals and Energy Resources covers topics like automation, data-analytics, mining-engineering.
Which degrees include Data Analytics and Automated Technologies for Minerals and Energy Resources?
Data Analytics and Automated Technologies for Minerals and Energy Resources is part of 9 degrees, including Advanced Science (Honours) / Engineering Science, Engineering (Honours) / Engineering Science, Engineering Science, Engineering Science, Engineering Science.
How many credit points is Data Analytics and Automated Technologies for Minerals and Energy Resources?
Data Analytics and Automated Technologies for Minerals and Energy Resources at UNSW Sydney is typically around 6.00 credit points. Approximate — confirm with the university.
Where is Data Analytics and Automated Technologies for Minerals and Energy Resources taught?
Data Analytics and Automated Technologies for Minerals and Energy Resources is taught at UNSW Sydney, NSW.
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Sources: UNSW Sydney public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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