Apply for Resource Operations Analytics Major (M PredAnylt)

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MJRP-ROPEN

Resource Operations Analytics Major (M PredAnylt)

Postgraduate major

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Course outline
  • Qualification
    Resource Operations Analytics Major (M PredAnylt)
  • Credit

    Credit

    200
Course outline

Select your preferred degree

This course belongs to multiple degrees. Select the single degree or double degree below to see the application deadlines.

Course outline

Outline

Outline

The Resource Operations Analytics major involves using data analytics and disruptive technologies in the resource (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.

What you'll learn

  • evaluate and apply relevant processing algorithms to data from a range of sources to solve or predict an operational problem prior to or during an occurrence.
  • develop creative solutions utilising disruptive technologies, discipline knowledge and analytical methods to forecast and manage operational resource operations engineering problems.
  • communicate the instrumentation, collection and processing of resource operations data and present outcomes and results to both expert and non-technical audiences.
  • develop improved processes and optimisation to increase yield from activities in the resources industry and help to reduce negative impacts on the environment; understand and apply established knowledge, principles, and professional practices.
  • develop solutions and analyses that respect ethics, sustainability and maintain social responsibility.
  • demonstrate initiative and leadership when working independently and collaboratively using problem solving and decision-making skills.
Credit for recognised learning (CRL)

Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Fees and charges

Please view the Master of Predictive Analytics degree for indicative fees.

Looking for more detail on the course structure?

View course structure

How to apply

Please review information on how to apply for the campus of your choice

  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

    The information on this page may be subject to change. In particular, Curtin University may change the content, method or location of delivery or tuition fees of courses.

    While Curtin uses reasonable efforts to ensure that the information provided on this page is accurate and up to date, errors and omissions sometimes occur. Curtin makes no warranty, representation or undertaking (expressed or implied) nor does it assume any legal liability (direct or indirect) for the accuracy, completeness or usefulness of any information.

    View courses information disclaimer.

  • Curtin course code: MJRP-ROPEN
  • Last updated on: 27 March 2024

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