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BUSI4AU15: Artificial Intelligence and Digital Transformation

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Type	Tied
Level	4
Credits	15
Availability	Available in 2024/2025
Module Cap
Location	Durham
Department	Management and Marketing

Prerequisites

None

Corequisites

None

Excluded Combinations 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	Monitored
Workshops (a combination of lectures, exercises and discussions)	10	weekly	3 hours	30	Yes
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.

More information

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