BA 4575 - Accounting Analytics and Artificial Intelligence

3 lecture hours 0 lab hours 3 credits

Course Description
Accounting Analytics and Artificial Intelligence explores how financial statement data and non-financial metrics can be linked to financial performance. Students will learn how data is used to assess what drives financial performance and to forecast future financial scenarios. How artificial intelligence is changing accounting will be explored. Topic coverage includes systems analysis, relational database theory, decision support systems, and artificial intelligence. (prereq: BA 4570)

Course Learning Outcomes
Upon successful completion of this course, the student will be able to:

Understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy
Make better business decisions about the emerging roles of accounting analytics
Apply methods learned to create strategy using financial data
Use tools common for artificial intelligence, focusing on techniques used in accounting and finance
Understand the application of machine learning and deep neural networks to discovery of new knowledge and information

Prerequisites by Topic

None

Course Topics

How data analytics is important to accountants
Sources of accounting data and data storage
Financial reporting and analysis: slicing and dicing, queries, and reports
Data visualizations and data warehouse, data mining, and fraud
Auditing analytics
Modes for accounting decision making
Computational intelligence, interpretation, and evaluation of results
AI and accounting

Coordinator
Carol Mannino

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BA 4575 - Accounting Analytics and Artificial Intelligence