Financial analytics and machine learning applications

Our students can apply financial analytics, machine learning techniques, or programming-based tools to extract insights from financial data and support decision-making.

Your project may focus on: 

• Financial modelling and predictive analytics, or
• Machine learning applications for financial forecasting, or
• Data analysis and visualisation for financial performance, or
• Programming-based tools for financial analysis, or
• Pattern recognition and fraud detection analysis 

The specific focus will be determined through initial discussions about your data availability and analytical objectives. 

Ideal for:

• Organisations with financial data seeking analytical insights 
• Investment firms implementing quantitative strategies 
• Companies needing predictive financial models 
• Businesses exploring machine learning applications in finance 
• Entities seeking to enhance data-driven financial decision-making 
  

Students offer fresh perspectives informed by current academic knowledge. Projects are completed as part of their learning and provide exploratory insights rather than professional consulting advice. 

When you express interest, we will evaluate if your specific project is compatible with the academic knowledge and capabilities of our students and our course learning objectives. 

If your project is accepted, it will go into a queue to be allocated to a student or student team. 

Projects are completed during our academic semesters or quarters, with students spending 8-10 weeks working on the project.