Duration:
1 year (full-time)
Number of credits:
180
Start date(s):
September 2026
If you are looking to develop the knowledge and leadership capability needed to apply artificial intelligence in modern organisations, our MSc AI for Business is for you.
Designed for graduates and professionals who want to work at the intersection of management, analytics, and artificial intelligence, this course explores how AI is transforming organisational strategy, decision-making, innovation, and business performance.
The programme takes a business-focused rather than narrowly technical approach, enabling you to understand, manage, and apply AI technologies without requiring a background in software engineering. You will develop the ability to evaluate AI opportunities, interpret and communicate data insights, lead responsible AI adoption, and design AI-enabled business strategies that create organisational value.
Combining business intelligence, analytics, AI foundations, ethics, governance, innovation, and data visualisation, the course provides both strategic and practical insight into the role of AI in contemporary organisations. Through applied learning and a London-based business challenge, you will explore how organisations can use AI responsibly to solve complex problems, improve decision-making, and drive transformation across sectors.
Based in London, a global centre for business, technology, and innovation, the programme connects your learning to real industry challenges and emerging opportunities within the rapidly evolving AI landscape.
Why this course
- You will develop the strategic and analytical knowledge needed to apply artificial intelligence effectively within organisations
- You will explore how AI, analytics, and data visualisation can support organisational decision-making, innovation, and business transformation
- You will gain a responsible and business-focused understanding of AI, including ethics, governance, and the challenges of AI adoption
- You will strengthen your ability to interpret data, evaluate AI opportunities, and communicate insight effectively to organisational stakeholders
- You will learn through applied and practice-focused activities that connect theory with real business and organisational challenges
- You will be taught by academics and industry practitioners with expertise across AI, analytics, business intelligence, and management practice
- You will engage with contemporary business problems and explore how organisations can create value through AI-enabled strategies and innovation
- Studying in London gives you access to one of the world’s leading centres for business, technology, and innovation, where the city becomes part of your learning experience
Modules
30 credits
In this module you will develop the knowledge and practical skills to transform business data into meaningful insights using business intelligence and AI technologies. You will explore how organisations collect, analyse and visualise data to support strategic decision-making, while applying AI tools to enhance reporting, forecasting and performance analysis. The module introduces key concepts in data modelling, dashboard design, business intelligence platforms and AI-assisted analytics. Through practical business scenarios, you will learn to interpret complex datasets, communicate findings effectively and make evidence-based recommendations, preparing you for data-driven roles across a wide range of industries.
30 credits
In this module you will develop the knowledge and practical skills needed to use business analytics to support data-driven decision-making. You will explore how organisations use data to solve business challenges across areas such as marketing, finance and operations. The module introduces key analytical techniques including data visualisation, descriptive analytics, probability, regression modelling and forecasting, applying these to real-world business scenarios. You will learn to interpret data, identify patterns, communicate insights effectively and make evidence-based recommendations. By the end of the module, you will be equipped to use business analytics to inform planning, improve performance and support strategic decision-making.
30 credits
In this module you will explore the ethical, legal and governance challenges created by the widespread use of artificial intelligence across organisations and society. You will examine the principles of responsible AI, including fairness, transparency, accountability, privacy and human oversight, while analysing real-world examples of AI-related risks and harms. The module introduces key regulatory frameworks, including the UK approach to AI regulation, the EU AI Act and GDPR, alongside sector-specific developments. You will also develop practical skills in AI governance, risk assessment and organisational policy design, preparing you to support responsible, compliant and ethical AI adoption in professional settings.
30 credits
In this module you will develop the strategic knowledge and practical skills needed to create, evaluate and communicate AI-driven business strategies. You will explore how AI creates competitive advantage, drives innovation and transforms organisations across different sectors. The module introduces frameworks for identifying AI opportunities, assessing organisational readiness and building robust business cases for AI investment. You will also examine implementation planning, AI-enabled business models and strategic decision-making in rapidly changing markets. Through a practical strategy project, you will apply these concepts to develop and present a comprehensive AI strategy for a real or simulated organisation.
30 credits
In this module you will work in cross-disciplinary teams to solve a real strategic challenge set by a London-based organisation. Applying the knowledge and skills developed throughout your programme, you will analyse complex business problems, evaluate evidence and develop practical recommendations for employers. Following a structured consultancy process, you will present your findings to a panel of academic and industry professionals, gaining valuable experience of collaborative problem-solving and professional communication. You will also complete an individual critical reflection, evaluating your contribution, considering different disciplinary perspectives, and identifying key insights to support your future professional development and leadership.
30 credits
In this module you will develop the knowledge, confidence and critical thinking needed to use artificial intelligence responsibly in professional settings. You will explore how AI works, understand its strengths and limitations, and evaluate AI-generated outputs with a critical perspective. Through hands-on projects using real AI tools, you will examine ethical issues such as bias, fairness and governance while considering discipline-specific challenges. You will also learn how to assess AI adoption, communicate complex AI concepts to non-specialist audiences, and make informed decisions in AI-augmented workplaces, drawing on real-world examples from London's leading industries and professional sectors.
These are the current planned modules on this course and may be subject to change.
Careers
You'll be equipped to succeed in a wide range of roles at the intersection of business, analytics, and artificial intelligence.
Our MSc AI for Business prepares you to lead AI-enabled transformation, interpret and communicate data insight, and support organisations in adopting AI responsibly and strategically.
Career paths include:
- AI and digital transformation: Roles such as AI business consultant, digital transformation consultant, or AI project manager supporting organisations through technology-driven change.
- Business intelligence and analytics: Careers including business analyst, business intelligence analyst, data and insights analyst, or strategy analyst focused on data-informed decision-making and organisational performance.
- Innovation and technology leadership: Positions such as innovation manager or technology adoption manager, helping organisations identify opportunities for growth and operational improvement through AI and emerging technologies.
- Responsible AI and governance: Roles focused on the ethical, responsible, and effective adoption of AI technologies, including positions such as responsible AI officer.
Graduates will be prepared to work across a wide range of sectors where organisations are increasingly seeking professionals who can combine business understanding with AI strategy, analytics, and responsible innovation.
Learning & assessment
How you'll learn
You will engage with real and simulated business challenges that require you to apply AI, analytics, and business concepts to realistic organisational scenarios. This approach will strengthen your strategic thinking, analytical capability, problem-solving, and professional decision-making skills.
The course combines case-based learning, applied problem-solving, and professional practice to help you understand how organisations use artificial intelligence, data, and digital technologies to create value and drive transformation. You will learn through a blend of lectures, workshops, seminars, simulations, and live or practice-based challenges that reflect contemporary organisational and business environments.
Throughout the programme, you will take part in:
- Case-based learning and business simulations
- Applied problem-solving activities
- Live and practice-based AI and business challenges
- Workshops, seminars, and collaborative learning
- Professional and industry-informed learning experiences
The programme is delivered through a focused timetable with structured learning activities before, during, and after taught sessions, supporting active engagement, independent thinking, and reflective learning.
Block mode teaching
This course will be taught in dedicated blocks.
This innovative approach means that you will be taught in six-week blocks that focus exclusively on one module at a time. You will be able to fully immerse yourself in each topic and apply your learning effectively. There is also flexibility to join at any entry point within the cycle of this course.
Each module block includes eight teaching hours (lectures and practical workshops) each week, over two days.
- You can focus on one subject at a time, maximising your understanding, retention and application of knowledge
- Reduce the stress of juggling multiple subjects at once
- A clear timetable making it easier to balance academic commitments with personal life
- Dedicated days to delve into each topic without distraction
- Focus on one assessment at a time at the end of each block
- Eliminates the pressure of multiple end-of-term assessments
- Regular tasks are integrated into each block, ensuring timely feedback and continuous improvement
- A modern, practical way to learn that prepares you for your career goals.
- Induction week – you will be introduced to the subject, the course team and other students on the module
- Six weeks of teaching – deep dive into content led by subject experts, utilising research informed teaching, practical case studies, group work and hands-on projects
- Assessment week – each block will end with a focused assessment where you can apply your knowledge to real-world cases
How you'll be assessed
Assessment on this course is designed to reflect the challenges and expectations of contemporary AI-enabled business practice. You will complete a range of authentic and industry-relevant assessments that test both academic understanding and practical application.
Throughout the programme, you will take part in assessments such as:
- Business and analytical reports
- Presentations and pitches
- Consultancy-style briefs
- Data-informed analysis and problem-solving tasks
- Portfolios and project-based outputs
These assessments are designed to develop the professional communication, analytical, strategic, and decision-making skills valued by employers across business, analytics, consultancy, and technology-enabled industries.
The final applied project or business challenge will give you the opportunity to integrate your learning across the programme, apply your knowledge to a realistic organisational context, and produce recommendations with professional and practical value.
Open days
Get a real taste of our campus, community and what it’s like to study at Roehampton
Applying
Full-time UK postgraduate students apply through our direct application system.
Course subject to curriculum review and validation.
General entry requirements
International undergraduate students apply through our direct application system.
Course subject to curriculum review and validation.
General entry requirements
Fees and funding
UK students
Tuition fees
| Entry date | MSc |
|---|---|
| September 2026 | £11,250 |
Prices shown are for the first year of your degree.
Funding your studies
We also provide other ways to support the cost of living, including on-campus car parking, hardship support and some of the most affordable student accommodation and catering in London.
International students
Tuition fees
| Entry date | MSc |
|---|---|
| September 2026 | £18,980 |
Prices shown are for the first year of your degree.
Funding your studies
We also provide other ways to support the cost of living, including on-campus car parking, hardship support and some of the most affordable student accommodation and catering in London.
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