AI for Business and Innovation MSc/PgDip/PgCert
Subject and course type
- Business and management
- Postgraduate
The MSc AI for Business and Innovation at Kingston University is a future-focused course. It enables you to move beyond understanding AI, to working with it as a collaborative partner, generating insight, innovation and meaningful value.
This is not a technical course. It is where AI, business transformation, and human creativity intersect.
The course has intakes for both September and January.
You are reading:
Create value. Reimagine work. Collaborate with intelligent systems.
Drive entrepreneurship and innovate with AI
This brand-new course is a future-focused, practice-based MSc for non-technical graduates and professionals who want to manage generative AI for business and innovation.
Designed for students from all disciplines, it bridges generative artificial intelligence, prompt engineering, design thinking, entrepreneurship, and digital transformation. You’ll develop the strategic insight, creative mindset, and ethical leadership needed to harness AI as a force for innovation, growth, and social good.
Taking a human-centred approach, the course gives you the skills to drive strategic transformation at the intersection of AI, entrepreneurship, and innovation. You’ll graduate as an agile, ethical, and digitally-fluent professional, ready to use AI not just as a tool, but as a catalyst for reimagining business models, launching ventures, and creating value across industries.
Why choose this course
From AI awareness to AI-driven value creation
AI is reshaping how organisations operate, compete, and innovate.
What is needed now are professionals who can translate AI into value, insight, and new possibilities.
This course is designed to help you:
- Transform AI capabilities into strategic value creation
- Work with AI as a thinking partner that augments creativity
- Reimagine processes, experiences, and business models
- Design human-centred and responsible AI solutions
Unlike traditional programmes, we focus on:
- Generative AI and agentic systems
- Prompt and knowledge engineering (non-technical)
- AI entrepreneurship and consulting practice
- Human–AI collaboration and augmented intelligence.
Who is this course for?
This course is designed for individuals from diverse academic and professional backgrounds who want to future-proof their careers in an AI-augmented world.
It is ideal if you are:
- A graduate from any discipline (e.g. business, engineering, social sciences, arts, or humanities) looking to understand how AI is reshaping industries.
- A professional in operations, marketing, sales, finance, or consulting seeking to integrate AI into decision-making and value creation.
- An engineer or technical specialist wanting to connect AI capabilities with business innovation and real-world application.
- A policy, public sector, or diplomacy professional exploring how AI is transforming governance, society, and global challenges.
- An entrepreneur – whether building a start-up, growing an existing business, or operating as a solo entrepreneur – looking to unlock new opportunities through AI.
- A career changer aiming to transition into roles shaped by AI and emerging technologies.
No coding is required. Just curiosity, adaptability, and a willingness to work with AI as a collaborative partner to enhance thinking, creativity, and impact.
Adobe Creative Campus
Kingston University is an Adobe Creative Campus, part of a global community of universities using Adobe’s creative, productivity, and generative AI technologies to support digital capability, creativity, and workplace readiness. Kingston states that students across all disciplines have access to Adobe Creative Cloud, Adobe Express Premium, and generative AI features from Adobe Firefly.
For this MSc, that matters because it reinforces the course’s emphasis on:
- Augmented creativity: using AI to expand ideation, storytelling, and innovation
- Multimodal communication: presenting insights through visually rich documents, presentations, video, audio, and data visualisations
- Digital fluency: building confidence with industry-relevant creative and AI-enabled platforms
- Responsible AI use: applying generative AI ethically in academic and professional contexts
Adobe Creative Campus supports students in developing the creative, productivity, and AI skill sets needed for study and work, while strengthening the Future Skills that matter in a modern digital environment.
This gives the programme an additional layer of distinctiveness: not only learning about AI in business, but also expressing ideas, insights, and value propositions through the creative and communicative practices increasingly expected in AI-augmented workplaces.
Entrepreneurial support at Kingston
You may have opportunities to engage with Kingston University’s wider entrepreneurship ecosystem, including Kingston University NEST, the University’s enterprise incubator, which has supported student and graduate start-ups, including ventures linked to AI and digital innovation.
Through this ecosystem, you will be able to:
- Develop and test AI-driven venture ideas
- Engage with mentoring, enterprise support, and industry insight
- Build pathways towards growing innovative concepts
This strengthens the connection between academic study and real-world experimentation, venture development, and value creation.
Links with industry
This course is connected to real-world practice.
- Industry-informed curriculum
- Expert advisory panel
- Live projects
- Employer engagement and networking.
Kingston Business School accreditation
Kingston Business School holds the prestigious international accreditation by the AACSB (Association to Advance Collegiate Schools of Business) in recognition of the excellence of its business education. This accreditation has been earned by just 6% of the world's business schools. It recognises the high quality and standard of our business degree offerings.
Ready for business
At Kingston Business School, we believe that professional success is shaped by honing your personal capacity and skillset, supported by the academic framework of knowledge. Through vocationally rich, employer-engaged and research-informed courses, we work alongside our students to help them meet personal goals and career ambitions.
Course content
This course combines strategic insight, practical skills and responsible innovation, to prepare you to lead AI-enabled change in organisations and industries.
How you will learn
As part of the Adobe Creative Campus, you will use industry-led creative AI technologies to develop and communicate ideas with clarity and impact across text, image, video, presentations, and other multimodal formats.
At the heart of the programme is our Gen AI Accelerator Circle, where you will engage directly with start-ups and SMEs. You will tackle live business challenges, co-create solutions, and see first-hand how AI generates real value in practice.
Through AI labs and experimentation environments, you will test and refine ideas, explore emerging tools, and develop your own AI-enabled solutions. Hackathons and co-creation workshops will challenge you to think creatively, collaborate and innovate under real-world conditions.
Your learning experience will be embedded within London – a leading global AI hub for entrepreneurship and innovation. It is home to organisations such as Google DeepMind, OpenAI, and Microsoft AI, and provides a future-focused environment where ideas connect directly to industry and real-world impact.
MSc modules
For the MSc, you will complete five core modules, comprising 180 credits.
Following the full-time MSc year, students have the option to do a 12-month placement as part of their course. The work placement is an assessed part of the course and is therefore covered by a Student Route visa. Find out more about the postgraduate work placement scheme.
Core modules for MSc
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.
Professional placement year (optional for MSc)
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.
PgDip modules
The minimum requirement for a postgraduate diploma is 120 credits. This is gained by completing four 30-credit modules.
Core modules for PgDip
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.
PgCert modules
The minimum requirement for a postgraduate certificate is 60 credits, gained by completing two 30-credit modules.
Core modules for PgCert
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.
Career opportunities
Future Skills
This MSc is grounded in Kingston’s Future Skills Framework, preparing you to thrive in an AI-augmented world:
- Creative problem solving
- Digital fluency and AI literacy
- Enterprise and innovation mindset
- Ethical reasoning and responsibility
- Adaptability and resilience
- Collaboration and empathy
Future roles in an AI-augmented economy
You will graduate prepared for emerging roles such as:
- AI Product/Innovation Manager
- AI-Powered Business Consultant
- AI-Enabled Entrepreneur
- AI Ethics Officer
- AI Customer Experience Specialist
- AI Knowledge / Prompt Engineer
- AI Transformation Specialist
These roles require the ability to:
- Work across business, technology, and human contexts
- Create value through AI-enabled insight and innovation
- Collaborate effectively with intelligent systems and diverse teams
These hybrid roles are rapidly growing across industries.
Future-ready by design
This course is designed for a world in which AI is not simply adopted, but embedded into the way organisations think, create, decide, and evolve.
It prepares students to work with AI not as a standalone tool, but as a collaborative partner in value creation, innovation, and responsible transformation.
Fees and funding
| Fee Category | Annual Fee |
|---|---|
| Home (UK students) | Full Time £9,000 |
| International | Full Time £13,133 |
Scholarships and bursaries
For students interested in studying this MSc at Kingston, there are several opportunities to seek funding support.
The Inspire the Future Scholarship offers a 40% reduction in fees for taught masters or postgraduate diploma courses with September start dates. 20 scholarships are available for progressing Kingston University graduates.
For more information on how to apply for this scholarship, visit the Inspire the Future Scholarship page.
International postgraduate students could receive up to £5,000 towards tuition in their first year of study.
For more information on how to apply for these scholarships, visit the International Scholarship page.
If you are a Kingston University undergraduate student progressing to a postgraduate degree (taught or research), you could get a 15% reduction in tuition fees.
For more information on how to apply for this scholarship, visit the Postgraduate Progression Scholarship page.
Kingston University offers a 10% discount on full and part-time postgraduate degree course tuition fees to our alumni.
For more information on how to apply for this discount, visit our postgraduate finance page.
Course changes and regulations
The information on this page reflects the currently intended course structure and module details. To improve your student experience and the quality of your degree, we may review and change the material information of this course. Find out more about course changes
Programme Specifications for the course are published ahead of each academic year.
Regulations governing this course can be found on our website.
