Master of Predictive Analytics

The Master of Predictive Analytics (MPA) addresses the growing demand of data analysts/scientists that have the right blend of technical and analytical skills to meet the challenge of big data analytics.

Our MPA course is currently the only Master's course in Australia in Predictive Analytics. The curriculum emphasises the integration of technical and business skills. It introduces advanced skills in data management, mining and visualisation, decision methods and predictive analytics with a focus on their applications to different disciplines, such as engineering, management, business and finance.

It is a multidisciplinary degree, in which students can choose from three streams to learn about specific application domains. They will also have opportunities to work on projects from various industries and organisations, or on analytical problems through industry sponsored projects, Innovation Central Perth, the Curtin Institution for Computation, or others.

Resource Operations Engineering (Science & Engineering)

The Resource Operations Engineering stream aims to develop petroleum and mining engineers who will have the ability to analyse, interpret and utilise complex data analytics relating to resource assets and operations, in order to improve their operational business decision-making resulting in maximised asset productivity and business growth.

This stream will provide the first distinct course in Australia to apply data analytics and big data concepts in practice to optimise operational engineering decision using disruptive technologies for enhanced productivity.

Finance and Investment Analytics (Business and Law)

The Finance and Investment Analytics stream embeds economic and financial econometric analysis within the data and predictive analytic framework. It produces data and predictive analytics experts with working knowledge in economic, finance and business data, thus allowing them to apply the skillset in the business context.

Asset Management & Productivity (Business and Law)

The Asset Management & Productivity stream aims to develop future managers able to analyse, interpret and utilise data relating to the assets and operations of an organisation. It provides students with skills necessary to enhance business effectiveness and provide leadership in productivity improvement and asset-utilisation.

The stream will be focus on the role that disruptive technologies will play and the implications for strategic/operational management and leadership.