ACC20030 Audit Analytics

Academic Year 2020/2021

This module introduces material that is especially relevant and interesting for students who wish to pursue a career in professional accountancy.

In the first half of the module, students will learn about Auditing and Accounting Information Systems (AIS):

This introductory section will cover the purpose of an audit and the audit process.

Accounting Information Systems (AIS) are the core component of every organization’s information system. In this module, students will learn about the nature, purpose and mechanics of these systems. Modern AISs collect data from all the business processes in the organization. In this module, students will learn how this information can be organized, analysed and presented to provide information for decision makers within the organization.

Disruptive technology may have major implications for the future of the accounting profession. Big data, artificial intelligence and robotic process automation (RPA) are expected to change the roles of accountants in the future.

The second half of this module covers disruptive technology in the context of auditing. Students will learn how to automate routine audit tasks using robotic process automation software and to summarize data using data visualisation software.

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Curricular information is subject to change

Learning Outcomes:

After completing this part of the module, a student should be able to:

Part 1 – Introduction to Auditing
- Understand the purpose of an audit
- Describe the key stages of the audit process
- Identify types of risk and the implications of risk assessment on audit practice
- Understand the importance of internal controls

Part 2 - Accounting Information Systems (AIS)
- Describe the key technologies that have enabled the development of AIS.
- Define an AIS and describe its basic functions.
- Describe the major business processes present in most companies.
- Discuss how organizations use enterprise resource planning (ERP) systems to process transactions and provide information.
- Recognise the major business documents used in the revenue cycle.
- Describe the basic business activities and related information processing operations performed in the revenue cycle.
- Describe how automation of business activities and the related information processing operations can benefit companies.
- Identify major threats in the revenue cycle and evaluate the adequacy of various control procedures for dealing with those threats.

Part 3 – Robotic Process Automation
- Define Robotic Process Automation (RPA) and its potential impact on the accounting profession
- Be able to automate basic audit tasks using RPA software

Part 4 – Data Visualisation
- Summarize data using data visualisation software
- Analyse data visualisations
- Discuss and draw insights from data visualisations

Student Effort Hours: 
Student Effort Type Hours
Lectures

24

Specified Learning Activities

72

Autonomous Student Learning

29

Total

125

Approaches to Teaching and Learning:
The module will consist of 12 x 2-hour sessions. Sessions will incorporate a mix of live and pre-recorded online classes. There will also be guest lectures by practitioners.

The module is designed on the assumption that students will attend all of the live sessions and complete the pre-recorded sessions promptly after release. Sessions will provide a focal point for discussing and navigating the module’s material and achieving the learning outcomes in full.

Students must read the assigned readings and complete exercises at the time they are assigned.

Students are expected to participate in discussions, problem solving and group work at lectures. 
Requirements, Exclusions and Recommendations
Learning Requirements:

Students should have completed ACC10040 Financial Accounting 1
(or equivalent)


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: Final assignment Coursework (End of Trimester) n/a Graded No

60

Class Test: Online MCQ & short answers test Week 7 n/a Graded No

20

Class Test: Online MCQ & short answers test Week 11 n/a Graded No

20


Carry forward of passed components
Yes
 
Resit In Terminal Exam
Autumn Yes - 1 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr John McCallig Lecturer / Co-Lecturer
Dr Sean Power Lecturer / Co-Lecturer