This course is designed for students taking accountancy and finance studies who are interested to learn how to manage data, conduct business analytics, apply AI model to automate accounting and assurance processes and develop predictive model to increase profitability or return.  It is oriented to enhance their technical skillset.

The aim of this course is to provide a broad understanding on how to manage data, the process of preparing data for analysis, basics of analytics, using AI to automate financial analysis process and generate accounting reports. This course will equip students with the ability to apply customized solutions to make informed business decisions, integrate statistical libraries for data analysis, develop AI models to automate accounting and assurance process. This course will provide students with case analysis to enhance the proper direction and process in applying AI in the accounting and related functions.

This course aims to:

1. provide students with knowledge of AI and its role in accounting and business;
2. develop students’ ability to model business processes and develop accounting information database;
3. manage data to sufficiently derive, analyze, communicate analytics outcome and eventually apply AI models in accounting and related functions.

Objectives of the course:

At the completion of this course, students should be able to:

1. Appreciate the contemporary developmental process of AI models and mechanism with reference to the accounting and related practices.
2. Identify possible utilization of AI techniques and models in existing and forecasted accounting, finance and related functions.
3. Visualize the current progress and outcome in the professional and business sector in the application of AI models and identify the causes and moderating factors thereof.
4. Develop communication and presentation skills in demonstrating AI accounting to potential users in the accounting and business sector.