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Curtin University

  • 28% international / 72% domestic

Finance and Investment Analytics Major (M PredAnylt): Master of Predictive Analytics

  • Masters (Coursework)

The Finance and Investment Analytics Major equips students with skills in predictive modeling, data analytics, and financial market operations, focusing on integrating computer programming, statistics, and econometrics. The course includes practical projects and advanced studies in machine learning and econometrics.

Key details

Degree Type
Masters (Coursework)
Duration
1 semester full-time
Course Code
MJRP-FIVAN

About this course

Overview

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 will learn

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 prior study or work

Credit for recognised learning (CRL)

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How to apply

How to apply

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