This internet browser is outdated and does not support all features of this site. Please switch or upgrade to a different browser to display this site properly.
A bunch of students at the Medical School talking at a table

Finance and Investment Analytics Major (M PredAnylt)

Postgraduate major

See full course structure
  • Qualification
    Finance and Investment Analytics Major (M PredAnylt)
  • Credit
See full course structure

Check the application deadline for the parent course

See full course structure

Why study Finance and Investment Analytics Major (M PredAnylt) at Curtin?

Top 1 %

Curtin is ranked in the top one per cent of universities worldwide.

Academic Ranking of World Universities 2022.

Get the Curtin edge

Access to leadership programs, specialist facilities and industry placements give you a competitive edge in the job market.

Global education

You’ll have access to a range of international study opportunities.



The Finance and Investment Analytics Major provides students with the ability to develop predictive models for purposes of formulating appropriate investment strategies. The Major focuses on the nexus between data analytics, economic modelling and the operations of financial markets. While the emergence of "big data" means a great amount of information are available to investors and regulators, their usefulness remains elusive. The main issue is that the extraction of this information from such large scale data and their translation to useful insight for decision making requires seamless integration of computer programming, statistics, econometrics and a thorough understanding of the operations of our economies and financial markets. This course is designed to fill this gap by providing students with a broad scope of skills covering these diverse areas in an integrated manner. After completing the first year of Master of Predictive Analytics or Graduate Diploma in Predictive Analytics, students would possess broad skills in data security, data management and predictive analytics. In this one year major, the first semester will be dedicated to the understanding of financial market operations, investment strategies, economic and econometric modelling and the roles that data analytics plays in this area. In the second semester, students will dive deeper into the connection between machine learning and modern econometrics. There will also be an opportunity for students to sharpen their skills and understanding by completing an industry-inspired project.

What you'll learn

  • communicate the relevant financial basis, model implementation and outcomes of financial analysis and present it to finance experts and non-expert or non-technical audiences
  • apply and devise new approaches to financial analysis with consideration of the interconnectedness of finance systems internationally; endeavour to comply with standards and guidelines relevant to the financial domain
  • 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
  • demonstrate competence in both financial theory and analytics practice to develop predictive models to formulate effective investment strategies
  • provide innovative and creative solutions utilising discipline knowledge and analytical methods to address challenges in finance and investment
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

Apply now