This course explores how data can be used to solve problems across financial accounting, managerial accounting, and audit contexts. Students will gain exposure to techniques to explore how financial and non-financial data is used to forecast events, detect financial discrepancies and frauds, predict corporate default, optimize operations, and determine business strategy. Some programming and data visualisation skills will be required to draw insights from large volumes of data. Advanced analytics methods such as text analytics, neural networks and deep learning will also be introduced. This course has been designed to equip students with an analytics mind-set to develop analytics strategies and make better business decisions.
LO1.1: Our students can recognize, develop, measure, record, validate and communicate financial and other related information.
LO1.2: Our students can analyze, synthesize and evaluate financial and other related information for decision making in a management context.
