STRP-ROPEN v.1 Resource Operations Engineering Stream
Curtin University
About
This major/stream is part of a larger course. Information is specific to the major/stream, please refer to the course for more information.
The Resource Operations Engineering Stream involves using data analytics and disruptive technologies in the resource engineering (oil and gas and mining) industries, how we can use predictive analytics to forecast operational engineering problems that may arise, and how best to manage them. It introduces the fundamentals of the industry, and how automation developments are linked with remote control and the decision-making processes within the future automated engineering environment.
Structure
Duration and availability
This Stream is one year full-time or equivalent part-time study.
YEAR 2 SEMESTER 1
| Code | Version | Course Name | HRS/WK | Credit |
|---|---|---|---|---|
| MGMT6049 | v.1 | Strategic Operations Management | 3.0 | 25.0 |
| PRRE5007 | v.1 | Fundamentals of the Resource Production Industry | 2.0 | 25.0 |
| PRRE5008 | v.1 | Systems Control and Remote Operations | 2.0 | 25.0 |
| SELECT OPTIONS TO THE TOTAL VALUE OF: | 25.0 | |||
| 100.0 |
YEAR 2 SEMESTER 2
| Code | Version | Course Name | HRS/WK | Credit |
|---|---|---|---|---|
| PRRE5009 | v.1 | Operations Engineering Research Project | 15.0 | 50.0 |
| SELECT OPTIONS TO THE TOTAL VALUE OF: | 50.0 | |||
| 100.0 |
OPTIONS (NO YEAR LEVEL SPECIFIED)
| Code | Version | Course Name | HRS/WK | Credit |
|---|---|---|---|---|
| MGMT6019 | v.1 | Supply Chain Planning and Design | 3.0 | 25.0 |
| ECON6008 | v.1 | Natural Resources Economics | 36.0 | 25.0 |
| MGMT6033 | v.1 | International Oil and Gas Markets | 3.0 | 25.0 |
| COMP5007 | v.1 | Artificial and Machine Intelligence | 4.0 | 25.0 |
| ICTE5005 | v.1 | Industrial Automation and Robotics | 3.0 | 25.0 |
| CNCO5000 | v.1 | Mobile Cloud Computing | 3.0 | 25.0 |
Institution
