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.
Learning Objectives
- Our students can recognize, develop, measure, record, validate and communicate financial and other related information.
- Our students can analyze, synthesize and evaluate financial and other related information for decision making in a management context.
- Our students understand and can apply concepts relating to business processes, audit and assurance.
- Our students can communicate effectively in a business context.
Past Project(s)
School
School Term
Course Code
ACCT418
Faculty Course Outlines