This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Postgraduate Handbook 2025-2026 (archived)
Module ACCT42915: Robotic Process Automation
Department: Accounting
ACCT42915: Robotic Process Automation
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Tied | 4 | 15 | Not available in 2025/2026 | None. | Durham |
Tied To
- L1T509: Accounting
- L1T709: Accounting Analytics & Sustainability (MAAS)
- L1T712: Accounting Analytics & Sustainability (DAAS)
- L1T714: Accounting Analytics & Sustainability (CAAS)
- N4R201: Accounting (with Integrated Studies)
Pre-requisites
- None
Corequisites
- None
Excluded Combinations
- None
Aims
- This module will aim to introduce students to the concepts of Robotic Process Automation (RPA) and Intelligence Process Automation (IPA). In particular, on the successful completion of this module students will be able to:
- develop clear understanding of the applications of RPA in accounting and auditing research and practice;
- use RPA in different accounting and auditing tasks;
- develop understanding of the impact of contemporary technologies, such as blockchain, cryptocurrencies and smart contacts on RPA implementation.
Content
- Introduction to RPA and IPA concepts and theories.
- Accounting & Auditing tasks automation using RPA.
- Business RPA best practices implementation.
- RPA using AI and Data Analytics.
- Blockchain and impact on RPA implementation.
- Cryptocurrencies and impact on RPA implementation.
Learning Outcomes
Subject-specific Knowledge
- By the end of the module students should be able to show:
- clear understanding of the theories and concepts of RPA and IPA;
- identify different applications of RPA in accounting and auditing;
- understanding of the role of AI and Data analytics in RPA implementation;
- development of clear understanding of blockchain and cryptocurrencies impact on RPA.
Subject-specific Skills
- By the end of the module students should be:
- competent in identifying areas of RPA implementation to accounting and auditing tasks.
- competent in integrating AI and Data Analytics concepts to RPA;
- capable of implementing RPA to cryptocurrencies and blockchain tasks.
Key Skills
- Critical analysis.
- The ability to communicate effectively: communicating complex ideas.
- The ability to think critically and creatively and to argue coherently.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- The module is delivered via online learning, divided up into study weeks with specially produced resources within each week. Resources vary according to the learning outcomes but normally include: video content, directed reading, reflective activities, opportunities for self-assessment and live scheduled webinars. The hours as depicted in the Teaching Methods and Learning Hours table are indicative.
- The formative assessment serves to encourage students to study regularly and to monitor their learning progress. Tutors provide feedback on formative work and are available for individual consultation as necessary (usually by email and Zoom or Microsoft Teams).
- The summative assessment of the module is designed to test the acquisition and articulation of knowledge and critical understanding, and skills of application and interpretation within the accounting and audit context.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total Hours | Attendance Monitored |
|---|---|---|---|---|---|
| Online Learning Activities | 90 | ||||
| Independent Study | 60 | ||||
| Total | 150 | ||||
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Individual assignment | 100% | Assignment | 3000 words max or equivalent | 100% |
Formative Assessment
Students undertake a series of activities aligned to the module content, receiving ongoing feedback on the theoretical knowledge and how it is applied.
Students who do not attend monitored activities shown under Teaching Methods
and Learning Hours, or who fail to complete the summative or formative
assessment(s) specified above, may be subject to the Academic Progress
procedures defined in the University's General Regulation V, and may be
required to leave the University.