
Artificial Intelligence Strategy MSc Online
Bridge the gap between technology and leadership with a 100% online master’s built for strategic thinkers, not coders.
Start Dates: January, May, September
Duration: 1 year full-time, 2 years part-time
Study Mode: Online
Fees: £11,520 (regional discounts available)
About the programme
The artificial intelligence era needs balance: technologists to create and build, and leaders to strategise and transform. The MSc AI Strategy teaches you to become a proactive leader capable of navigating the real-world challenges of implementing this ever-evolving technology in global organisations. You don’t need a technical background on this programme, you just need a critical mindset to apply AI responsibly, ethically, and strategically.
Through an interdisciplinary lens, you’ll explore everything from AI governance and business modelling to transformation and sustainability. This programme is designed to turn you into an adaptable practitioner. You’ll grow into someone who can capitalise on opportunities, manage risks pragmatically, and ensure AI solutions are humane and sustainable. With a focus on challenge-led learning and professional skills, you’ll graduate ready to lead at the crossroads of business and innovation.
Accreditation
This programme is delivered by the Brunel Business School, which is accredited by the Association to Advance Collegiate Schools of Business (AACSB) and the Association of MBAs (AMBA).

How you’ll study
Online learning environment
This online MSc uses Brunel’s digital platform, Canvas, to provide a flexible 24/7 learning experience. You’ll have access to professionally produced video lectures, interactive exercises, and discussion boards that help you stay engaged. Collaboration is central to the format; although you’re studying from home, you won’t be learning alone. You’ll join live webinars and tutor-led forums to network with a global community of business leaders, entrepreneurs, and technology professionals.
Weekly study commitment
The programme is designed for flexibility, allowing you to choose between full-time study (one year) or part-time study (two years). If studying full-time, you should plan for approximately 40 hours of study per week. Part-time learners should plan for roughly 20 hours per week. This includes reviewing recorded content, participating in peer discussions, and independent research, allowing you to integrate your studies directly into your schedule without needing to take a break from your career.
Assessment methods
Assessments are designed to reflect the real-world challenges you’ll face in the workplace. Rather than sitting traditional exams, you’ll complete individual and group assignments, including consultancy-style reports, case study analyses, and video presentations. A distinctive feature of this degree is the two Praxis modules, where you will work in teams to solve open-ended AI challenges for real organisations. The course culminates in an Applied Research Project (Dissertation).
Support and feedback
You’ll have full access to Brunel’s eLibrary and 24/7 technical support. To ensure you stay on track, our dedicated student support team provides non-academic guidance, while tutors offer regular virtual office hours and detailed feedback on all assignments. All live sessions are recorded for on-demand viewing, ensuring you never miss a lecture.
Entry requirements

Academic requirements
To join this programme, you’ll need:
- A 2:2 (or above) UK Honours degree or; an equivalent internationally-recognised, relevant qualification in a subject such as public health, allied health, health-related studies, social sciences, or biosciences.

Language requirements
Non-native speakers of English need either of the following:
- IELTS: 6.5 (min 6 in all areas)
- Pearson: 59 (59 in all subscores)
- TOEFL: 90 (min 20 in all)
- BrunELT: 63% (min 58% in all areas)
Modules
All learning is delivered online to fit around your work and personal commitments. You’ll complete eight core modules and a final dissertation, blending high-level theory with practical, challenge-led tasks to prepare you for a leadership career in the business world.
Assessment: Coursework involving a reflective analysis of leadership challenges and an applied presentation on business model innovation.
Example project: Evaluating the potential for an established retail brand to pivot toward an AI-driven, platform-based business model to improve customer retention.
Assessment: Individual coursework and applied tasks, including critical analysis reports and group presentations.
Example project: Designing an AI governance framework for a financial institution that ensures transparency and ethical fairness in automated loan approval processes.
Assessment: Applied coursework involving the analysis, reflection, and presentation of specific AI use cases.
Example project: Creating a strategic feasibility report for a logistics firm on the adoption of deep learning technologies for predictive supply chain management.
Assessment: Reflective analysis and applied presentations based on real-world organisational scenarios.
Example project: Developing a comprehensive AI transformation roadmap for a public sector organisation, balancing the costs of implementation against long-term societal benefits.
Assessment: A mix of group and individual coursework focused on applied problem-solving tasks.
Example project: Using simulation software to model "what-if" scenarios for a manufacturing plant to identify how AI-driven automation could reduce production bottlenecks.
Assessment: An individual coursework project requiring the practical analysis and interpretation of a complex data set.
Example project: Building a predictive analytics dashboard to help a digital marketing agency interpret consumer data and optimise campaign performance.
Assessment: Group assignments involving consultancy reports and presentations, supported by individual reflective papers or mini-vivas.
Example project: Working with a non-profit organisation to design a strategic AI solution that addresses digital exclusion in underserved communities.
Assessment: A substantial written research dissertation.
Example project: Investigating the impact of ethical AI governance on consumer trust within the global e-commerce sector.
Fees and funding
Tuition fees for the MSc AI Strategy Online are £11,520 for the full programme. This covers all teaching, learning materials, assessments, and access to Brunel’s online resources – there are no hidden costs.
Payment options
Brunel offers a six-month payment plan, allowing you to spread the cost by paying your first instalment at registration and the remaining balance across five equal monthly payments.
Discounts and scholarships
You may be eligible for one or more of the following:
- Early Payment Discount (2%) — applied automatically when you pay in full before your registration date
- Alumni Discount (15%) — for Brunel graduates returning for postgraduate study
- Family Discount (10%) — when a direct family member is also studying at Brunel
- Academic Excellence Award (15%) — for applicants holding a first-class undergraduate degree
Discounts can be combined where eligible. Visit the full fees and funding section for detailed eligibility criteria.
Student loans
UK residents may be eligible for a Postgraduate Master’s Loan through Student Finance England. The loan is not means-tested and is paid directly to you to use towards tuition fees and living costs. Visit gov.uk/masters-loan for full details and to check your eligibility.
Career outcomes
A future-focused leadership qualification
Strategic AI capabilities are rapidly becoming essential across every sector. Organisations navigating digital transformation need proactive professionals who understand technology implementation, ethical governance, and data-driven change management. The MSc AI Strategy Online develops exactly these cross-disciplinary, non-technical capabilities, positioning you for forward-thinking management and consultant roles across global businesses, government bodies, and the third sector.
Roles our graduates pursue
- AI strategy consultant – advising organisations on responsible AI adoption, aligning technical capabilities with business goals and ethical practices.
- Business analyst – evaluating the viability of AI tools, interpreting predictive analytics and translating data into actionable insights.
- Innovation manager – identifying frontier technologies, spotting market opportunities and designing new business models for growth.
- Digital transformation lead – navigating complex organisational changes to implement holistic AI strategies.
Where our graduates work
Brunel AI graduates go on to work with organisations that are leading the adoption of intelligent systems. The programme’s applied focus and technical rigour prepare you for roles in technology firms, consultancies, financial services, healthcare, and the public sector.
Skills employers value
The programme develops six core competency areas that employers actively seek: strategic AI leadership, operational intelligence, ethical advocacy, applied consultancy, critical inquiry, technical literacy. Your dissertation project provides a portfolio-ready piece of work that demonstrates your ability to tackle a real-world AI challenge independently.

Go global with your career
Brunel’s 16,000 business graduates have launched careers with some of the world’s biggest names, including Amazon, PwC, Microsoft, Jaguar Land Rover and L’Oréal. With this degree, you can too.
Earn your MSc with us and unlock career paths such as:
- AI Strategy Consultant
- Business Analyst
- Innovation Manager
- Digital Transformation Lead
Why choose this programme
Strategic AI curriculum
Eight core modules and a final dissertation take you through an interdisciplinary roadmap combining business strategy, ethics, policy, and technology transformation. Designed specifically for leaders rather than programmers, this curriculum gives you a systematic understanding of the AI lifecycle without requiring a technical or coding background.
Career-ready skills
Graduates are uniquely equipped for high-demand leadership roles, including AI Strategy Consultant, Business Analyst, Innovation Manager, and Digital Transformation Lead. The programme directly develops six business-critical competency areas: strategic AI leadership, operational intelligence, ethical advocacy, applied consultancy, critical inquiry, technical literacy.
A London university with global standing
Brunel University London is ranked in the top 25% of UK universities, with an established reputation for applied research and industry-connected teaching. Your MSc carries weight with employers worldwide, grounding your technical literacy within an elite, global academic community.
AACSB and AMBA accredited
Brunel Business School holds dual accreditation from AACSB and AMBA – a distinction held by fewer than 5% of business schools globally. This signals internationally recognised quality and ensures your degree is valued by employers worldwide.
Built for working professionals
Three start dates per year (January, May, September), fully online delivery, and flexible full-time or part-time study options mean you do not have to pause your career to gain an advanced qualification. Study at the pace that works for you.
Career-driven outcomes
Your MSc is designed with industry skills and knowledge in mind, providing you with the tools you need to secure your chosen career path. Each module is carefully constructed by cross-disciplinary experts to elevate your strategic capabilities, ensuring you graduate ready to navigate the business, regulatory, and societal demands of the AI era.
Gain in-demand skills to lead in AI

Strategic AI leadership
Become a proactive leader capable of driving AI-driven transformation.

Operational intelligence
Master the ability to formulate technical problems, gather data, and extract new knowledge.

Ethical advocacy
Develop an understanding of the interplay between ethics and AI, ensuring solutions are sustainable, and socially responsible.

Applied consultancy
Gain hands-on experience through the Praxis modules, learning to communicate complex conclusions to professional audiences.

Critical inquiry
Become an adaptable practitioner who evaluates the consequences of AI on organisational culture, structure, and processes.

Technical literacy
Bridge the gap between business and technology by mastering the technical lifecycle.
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