AI for Business and Innovation MSc/PgDip/PgCert

30 credits

This module develops your ability to anticipate technological disruption and lead AI-enabled organisational transformation. You will apply strategic foresight methods, such as horizon scanning and scenario planning, to identify emerging trends and inform long-term decision-making.

The module explores how artificial intelligence, automation, and intelligent systems reshape business models, organisational capabilities, and leadership practices. Through practical workshops and applied projects, you will design AI-enabled transformation roadmaps that integrate people, processes, and technology to deliver measurable and responsible change.

By the end of the module, you will be able to develop and communicate evidence-based digital transformation strategies that help organisations respond to disruption, use AI responsibly, and build resilient, future-ready systems.

30 credits

This module explores how organisations can responsibly govern generative artificial intelligence (GenAI) and automated decision systems. You will examine how governance frameworks promote transparency, accountability, and ethical oversight across the AI lifecycle, particularly where AI influences organisational decisions, operations, and workforce practices.

The module introduces key principles of responsible AI, including fairness, accountability, transparency, and explainability (FATE), and considers their application within regulatory contexts such as GDPR and emerging frameworks including the EU AI Act. You will learn to assess ethical and socio-technical risks, evaluate algorithmic bias, and design mitigation strategies.

A central focus is the human impact of AI adoption, including workforce transformation, job redesign, organisational culture, and employee wellbeing. The module also considers how responsible AI governance aligns with global priorities such as the UN Sustainable Development Goals, including decent work, reduced inequalities, responsible innovation, and strong institutions.

30 credits

This module develops essential understanding and practical applications of Generative Artificial Intelligence (GenAI) for non-technical professionals. It prepares you to collaborate effectively with GenAI using structured, critical, and ethical prompting to produce high-quality, transparent outputs. Alongside human–AI collaboration, the module introduces automation fundamentals to help you distinguish when to augment human judgement and when to automate processes.

You will develop skills in:

• Intelligent interrogation – prompting AI through structured reasoning.
• Judgement integration – applying critical thinking, context, and ethics to AI outputs and automated processes.
• Reciprocal apprenticing – refining AI tools through contextual data while deepening AI literacy.
• Workflow thinking – mapping processes, identifying automation opportunities, and embedding human-in-the-loop safeguards.

Through experimentation and reflective practice, you will build the confidence to design and lead AI-enabled initiatives that are rigorous, responsible, and results-driven.

30 credits

Entrepreneurship and an entrepreneurial mindset are essential in an AI-driven economy characterised by rapid technological change and evolving market expectations.

This module introduces design thinking as a structured approach to identifying opportunities, testing ideas, and creating sustainable value in AI-enabled environments.

You’ll develop the digital, creative, and enterprise skills needed to build responsible, scalable AI-enabled ventures or enhance the competitiveness of existing organisations and SMEs. You’ll also learn to use generative AI as a creative tool to support insight generation, ideation, prototyping, and business model innovation, guided by human judgement and strategic intent.

60 credits

The AI Innovation Lab provides an independent, practice-led learning experience in which you design a project addressing a real or case-based organisational, business, or societal challenge related to Generative AI (GenAI). Working under the guidance of a supervisor, you will choose one of two options: an Industry Innovation Project or a Research Project.

• In the Industry Innovation Project, you will develop and critically evaluate an AI-enabled solution, proof of concept, governance framework, or transformation initiative in response to an organisational challenge. Projects may be linked to real organisations or case-based contexts.
• The Research Project enables you to conduct a rigorous investigation into a contemporary GenAI issue, such as governance, organisational transformation, innovation strategy, or societal impact. This pathway is suited to students interested in deeper analytical inquiry or progression to doctoral research.

Across both options, the project emphasises the integration of theory, evidence, and practice, with a strong focus on responsible AI use, ethical judgement, and reflective practice.

120 credits

The Professional Placement module is a core module for those students following a masters programme that incorporates an extended professional placement that follows completion of the first 180 credits of taught modules and project or dissertation. It provides students with the opportunity to apply their knowledge and skills in an appropriate working environment, and to develop and enhance key employability skills and subject specific skills in their chosen subject.

It is the responsibility of individual students to locate and secure a suitable placement opportunity; this will normally involve one placement which must be completed over a minimum period of 10 months and within a maximum of 12 months. The placement must be approved by the module leader prior to commencement to ensure its suitability.

30 credits

This module develops your ability to anticipate technological disruption and lead AI-enabled organisational transformation. You will apply strategic foresight methods, such as horizon scanning and scenario planning, to identify emerging trends and inform long-term decision-making.

The module explores how artificial intelligence, automation, and intelligent systems reshape business models, organisational capabilities, and leadership practices. Through practical workshops and applied projects, you will design AI-enabled transformation roadmaps that integrate people, processes, and technology to deliver measurable and responsible change.

By the end of the module, you will be able to develop and communicate evidence-based digital transformation strategies that help organisations respond to disruption, use AI responsibly, and build resilient, future-ready systems.

30 credits

This module explores how organisations can responsibly govern generative artificial intelligence (GenAI) and automated decision systems. You will examine how governance frameworks promote transparency, accountability, and ethical oversight across the AI lifecycle, particularly where AI influences organisational decisions, operations, and workforce practices.

The module introduces key principles of responsible AI, including fairness, accountability, transparency, and explainability (FATE), and considers their application within regulatory contexts such as GDPR and emerging frameworks including the EU AI Act. You will learn to assess ethical and socio-technical risks, evaluate algorithmic bias, and design mitigation strategies.

A central focus is the human impact of AI adoption, including workforce transformation, job redesign, organisational culture, and employee wellbeing. The module also considers how responsible AI governance aligns with global priorities such as the UN Sustainable Development Goals, including decent work, reduced inequalities, responsible innovation, and strong institutions.

30 credits

This module develops essential understanding and practical applications of Generative Artificial Intelligence (GenAI) for non-technical professionals. It prepares you to collaborate effectively with GenAI using structured, critical, and ethical prompting to produce high-quality, transparent outputs. Alongside human–AI collaboration, the module introduces automation fundamentals to help you distinguish when to augment human judgement and when to automate processes.

You will develop skills in:

• Intelligent interrogation – prompting AI through structured reasoning.
• Judgement integration – applying critical thinking, context, and ethics to AI outputs and automated processes.
• Reciprocal apprenticing – refining AI tools through contextual data while deepening AI literacy.
• Workflow thinking – mapping processes, identifying automation opportunities, and embedding human-in-the-loop safeguards.

Through experimentation and reflective practice, you will build the confidence to design and lead AI-enabled initiatives that are rigorous, responsible, and results-driven.

30 credits

Entrepreneurship and an entrepreneurial mindset are essential in an AI-driven economy characterised by rapid technological change and evolving market expectations.

This module introduces design thinking as a structured approach to identifying opportunities, testing ideas, and creating sustainable value in AI-enabled environments.

You’ll develop the digital, creative, and enterprise skills needed to build responsible, scalable AI-enabled ventures or enhance the competitiveness of existing organisations and SMEs. You’ll also learn to use generative AI as a creative tool to support insight generation, ideation, prototyping, and business model innovation, guided by human judgement and strategic intent.

30 credits

This module develops essential understanding and practical applications of Generative Artificial Intelligence (GenAI) for non-technical professionals. It prepares you to collaborate effectively with GenAI using structured, critical, and ethical prompting to produce high-quality, transparent outputs. Alongside human–AI collaboration, the module introduces automation fundamentals to help you distinguish when to augment human judgement and when to automate processes.

You will develop skills in:

• Intelligent interrogation – prompting AI through structured reasoning.
• Judgement integration – applying critical thinking, context, and ethics to AI outputs and automated processes.
• Reciprocal apprenticing – refining AI tools through contextual data while deepening AI literacy.
• Workflow thinking – mapping processes, identifying automation opportunities, and embedding human-in-the-loop safeguards.

Through experimentation and reflective practice, you will build the confidence to design and lead AI-enabled initiatives that are rigorous, responsible, and results-driven.

30 credits

Entrepreneurship and an entrepreneurial mindset are essential in an AI-driven economy characterised by rapid technological change and evolving market expectations.

This module introduces design thinking as a structured approach to identifying opportunities, testing ideas, and creating sustainable value in AI-enabled environments.

You’ll develop the digital, creative, and enterprise skills needed to build responsible, scalable AI-enabled ventures or enhance the competitiveness of existing organisations and SMEs. You’ll also learn to use generative AI as a creative tool to support insight generation, ideation, prototyping, and business model innovation, guided by human judgement and strategic intent.