Data Analytics and Valuation Project

Overview

This unit aims to provide students with essential skills in financial data analysis and valuation techniques, emphasising practical applications in today's data-driven business landscape. Students utilise relevant technology for data analysis and firm valuation processes, focusing on equity research, acquisition evaluation and corporate finance settings. This unit explores essential fundamental analysis frameworks for equity and firm valuation. The significance of revising business parameters to estimate intrinsic value is emphasised. Additionally, students learn investment decision-making essentials, integrating sustainability, governance, and ethical considerations.

Unit learning outcomes

Students who successfully complete this unit will be able to:

1. Analyse and evaluate financial data by applying data-driven models and techniques from data science.
2. Extract actionable insights for managers and investors through forecasting and visualising data, leveraging financial technology.
3. Critically analyse financial statements to facilitate rigorous financial analysis and apply advanced valuation techniques to assess the value of public and private companies.
4. Apply research principles to evaluate sustainability and valuation variables in real-world contexts, while critically examining ethical dilemmas and regulations.
5. Collaborate effectively in a team to analyse extensive data and information to find intrinsic value of a firm

Teaching methods

Hawthorn

Assessment

Content

• Foundations in data analytics in business
• Applications of data science in Finance
• Techniques for managing and analysing financial data
• Data visualisation for managers
• Predictive analytics and forecasting
• Fundamental analyses
• Valuation approaches and methods
• Financial analysis
• Capitalisation of earnings method
• Discounted cashflow method
• Other valuation issues
• Ethics and professional standards