Accountants regularly work with large amounts of financial and non-financial data. Data modelling is an
important means through which accountants can analyse such data for trends, patterns, relationships,
and other useful information for decision making. This course will introduce a variety of quantitative
techniques used in the development, implementation, and utilization of analytical data models that
accountants regularly use in decision making. It will cover techniques including regression analysis,
trend analysis, optimization, text analytics, and simulation.
Visualization provides an important means through which accountants can communicate insights
obtained via data modelling to their intended recipients. Well-designed visualisations can improve the
memory, comprehension, and decision making of intended recipients of this information. This course
will introduce students to key principles and techniques for data visualization. Students will create
visuals including dashboards and interactive visualisations for decision making in the accounting
context.
TBD
