Postgraduate Programme and Module Handbook 2024-2025
Module BUSI4AU15: Artificial Intelligence and Digital Transformation
Department: Management and Marketing
BUSI4AU15: Artificial Intelligence and Digital Transformation
| Type | Tied | Level | 4 | Credits | 15 | Availability | Available in 2024/2025 | Module Cap |
|---|
| Tied to | N2P109 |
|---|---|
| Tied to | N2P309 |
| Tied to | N2P609 |
| Tied to | N2P909 |
Prerequisites
- None
Corequisites
- None
Excluded Combination of Modules
- None
Aims
- To understand AI and digital transformation concepts, technologies, and business applications
- To identify and address the opportunities and challenges associated with AI and digital transformation
- To develop and implement strategies for effective AI and digital transformation to enhance organisational performance
- To explore the ethical and social issues in AI and digital transformation.
Content
- Key technologies driving AI and digital transformation: Internet of Things (IoT), machine learning, natural language processing, computer vision, robotics, etc.
- Opportunities of AI and digital technologies for business growth and innovation
- Challenges in AI and digital transformation initiatives
- Developing an AI and digital transformation strategy
- Change management and leadership in digital transformation
- Ethical and social implications of AI and digital transformation
- Developing responsible AI practices and governance frameworks
- The future of AI and digital transformation.
Learning Outcomes
Subject-specific Knowledge:
- By the end of the module, students should have an advanced understanding of :
- Key concepts and applications of AI and other major digital technologies
- How AI and other digital technologies foster innovation and transform business processes
- Opportunities and challenges of AI and digital transformation in organisations
- The stages of digital transformation within an organisation
- Main ethical and social issues in AI development and deployment
- Emerging technologies and trends shaping the future of AI and digital transformation.
Subject-specific Skills:
- By the end of the module, students should be able to:
- Critically assess the potential impact of AI technologies on organisations
- Develop and implement comprehensive AI and digital transformation strategies
- Design and execute change management plans for successful implementations
- Identify ethical and social issues related to AI development and deployment, and develop responsible AI practices and governance frameworks, and promote inclusive and equitable transformation
- Anticipate and adapt to emerging technologies and trends.
Key Skills:
- Application of AI and digital technologies
- Creative problem-solving
- Effective communication
- Teamworking
- Critical thinking, and self-reflection
- Ethical reasoning.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- The learning outcomes will be met through a series of lectures, seminar discussions and presentations, together with guided reading.
- The assessment of the module, by written assignment and group presentation, is designed to: test the acquisition and articulation of knowledge; test conceptual understanding and skills of application and interpretation within the business context.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| Workshops (a combination of lectures, exercises and discussions) | 10 | weekly | 3 hours | 30 | ■ |
| Preparation and reading | 120 | ||||
| Total | 150 |
Summative Assessment
| Component: Written Assignment | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Individual Written Assignment | 2500 words (maximum) | 100% | Same |
Formative Assessment:
Feedback on participation in discussions and group work.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University