Our students dive into real-world financial scenarios, working with actual industry data to build their analytical skills. These projects demonstrate how theory meets practice when you're analyzing market trends, corporate performance, and investment patterns.
Working with three years of sector data, this project examined how different industries responded to economic shifts in 2024. The analysis included correlation patterns and risk metrics that revealed interesting connections between seemingly unrelated sectors.
Lachlan Petrovic
Completed March 2025
This investigation tracked quarterly earnings patterns across 45 companies to identify reporting trends and seasonal variations. The findings showed how different business models handle revenue recognition and what that means for comparative analysis.
Saoirse Langford
Completed February 2025
Focusing on South Korean manufacturing data, this study explored how regional economic factors influence company performance metrics. The research compared traditional indicators with newer digital economy measurements to see which provided better predictive value.
Students apply quantitative methods to understand patterns in financial statements and economic data. Each project builds technical skills while developing the judgment needed to interpret what the numbers actually mean.
The journey starts with guided analysis and gradually shifts toward independent research. By the final project, students are choosing their own questions and methodologies.
Students work with structured datasets to learn core analysis techniques. You're getting comfortable with financial statements, ratio analysis, and basic statistical methods. The focus here is building technical competence with tools and frameworks that you'll use throughout the program.
Now you're selecting specific industries or companies to investigate. The projects become more open-ended as you start formulating your own analytical questions. This phase involves comparing different approaches and learning which methods work best for different types of financial data.
The final project is entirely self-directed. Students identify a research question that interests them and design their own methodology. Some examine sector trends, others focus on individual company performance, and a few explore how economic indicators relate to market movements. This is where you demonstrate that you can conduct professional-level financial analysis.
Every project concludes with a detailed presentation where you explain your findings and methodology. Getting feedback from instructors and peers helps you see where your analysis was strong and where it could have gone deeper. These sessions often spark interesting discussions about different ways to interpret the same data.