£9,900
12 months (full-time)
100% Online
Flexible Schedule
MSc AI for Business Transformation
Artificial intelligence is revolutionising the way businesses operate, creating new opportunities and challenges.
This programme is designed to equip you with the expertise to navigate this evolving landscape with confidence and precision. You will explore advanced digital concepts, learning how to harness the digital economy to shape future business strategies.
The course delves into practical approaches for implementing AI across industries, ensuring you can drive innovation effectively. By focusing on user-centred system design and modern requirements engineering, you will learn to create intuitive digital experiences that meet precise business needs. Leadership development is also a key component, preparing you to lead transformative initiatives in your organisation.
Programme overview
As the synergy between AI and business grows stronger, the need for professionals skilled in both domains becomes essential. This course focuses on building a robust skill set that bridges technical knowledge and strategic business acumen.
You will develop proficiency in digital economics and learn to craft and implement AI strategies that drive innovation. Enhancing your ability to design user-optimised digital systems, the programme ensures you can create solutions that resonate with users.
Leadership training will empower you to guide teams through change, while mastering business case development and requirements engineering will refine your ability to deliver precise, purpose-driven solutions.
Flexible online study
| Full Time | Part Time | |
|---|---|---|
02 Mar 2026 |
02 Mar 2026 |
|
12 months |
24 months |
|
Online |
Online |
|
£9,900 £3,300 per semester |
£9,900 £1,650 per semester |
Regulatory Notice: As an English higher education provider, the London School of Innovation is regulated by and registered with the Office for Students (OfS) under UKPRN 10091282 under 'Approved' category. LSI is seeking New Degree Awarding Powers from the OfS and, following comprehensive scrutiny with a positive assessment report, is now awaiting the OfS’s formal processes and final decision, anticipated in early 2026, upon which the commencement of degree programmes is contingent. In the meantime, successful applicants may register for our PgDip programmes, which include all coursework except the final project, and subsequently, should our DAPs be granted by the OfS ahead of their third semester as anticipated, register for the final semester to complete the dissertation or project required for the MSc. For more information, please refer to our terms and conditions and student protection plan.
Programme modules
This programme consists of the following core and optional modules. Full-time students usually take 60 credits per semester, while part-time students often take one or two modules per term. See the programme specification for full details.
YEAR 1 - SEMESTER 1
Unlock the secrets of the digital economy and gain the strategic insights needed to steer your career towards success. This module offers a comprehensive, no-nonsense guide to understanding how digital business truly operates, equipping you with the wisdom and practical know-how to make informed, impactful career decisions.
Topic covered include Digital Economy, Tech Ecosystems & Platforms, Strategic Tech Implementation, Navigating Commercial Politics, Organisational Dynamics & Culture, Industry-Specific Tech Adoption, Career Pathways & Progression, Professional Self-Assessment and Designing Your Career Strategy.
Full module specificationDiscover how artificial intelligence is transforming business and how to apply it with strategic clarity. This module reveals where AI creates real advantage, where it falls short, and how to navigate its implementation challenges. Gain the insight to move beyond the hype and lead confidently in an AI-driven world.
Topic covered include Business AI Fundamentals, AI Limitations and Boundaries, AI in Strategic Decision-Making, AI Deployment Challenges, AI and Human Collaboration, Organisational Transformation, Risk Management in AI, Ethical AI and Social Responsibility and Future AI Trends.
Full module specificationEnhance your digital project management skills with this module. Dive into agile methodologies, and learn how to align digital solutions with business objectives and navigate the complexities of change management. Get ready to transform your understanding of digital delivery.
Topic covered include Digital Product Lifecycle, Agile and Scrum, Lean Methodologies, Alignment with Business Goals, Stakeholder Management, Change Management, Resource and Budget Control, Risk Management and Governance and Compliance.
Full module specificationYEAR 1 - SEMESTER 2
To design systems that resonate with people, you must deeply understand user behaviours, challenges, and workflows while mastering techniques that enhance usability and satisfaction. Learn to blend human-centred methodologies with cutting-edge tools to create digital solutions that are intuitive, efficient, and impactful.
Topic covered include Human-Centred Design, Understanding Users, UX Design Techniques, Usability Evaluation, Information Architecture, Design Thinking, Advanced Design Principles, Error Prevention & Recovery and Agile Collaboration.
Full module specificationMaster leadership that drives change in the digital era. This module equips you to lead with agility, manage cutting-edge teams, and foster a forward-thinking, creative environment. Align strategic innovation with organisational goals and take charge of high-stakes innovation.
Topic covered include Principles of Innovation, Leadership Styles, Fostering Creativity, Managing Innovation Teams, Navigating Change, Risk Management, Scaling Innovation, Collaboration Models and Digital Transformation.
Full module specificationDevelop advanced AI systems by mastering the intricacies of customisation and integration. This module provides the skills to create complex, multi-step interaction workflows using commercial and open-source models. Explore dynamic conversation state management, agent development, multi-modal integration, secure database connections, and advanced fine-tuning methods. Build robust, contextually aware AI solutions tailored for real-world applications.
Topic covered include Agentic AI Overview, LLM Integration Techniques, Managing Conversation Context, Advanced Prompt Engineering, Developing LLM Agents, Safety and Human Oversight, Semantic Retrieval and Embeddings, Secure Data Integration and Fine-Tuning and Deployment.
Full module specificationMaster the principles shaping tomorrow’s technology by immersing yourself in the art and science of data modeling. Understand machines' intricate logic in predicting and classifying, turning complex data into actionable insights. Equip yourself for today's most daunting challenges with the tools pivotal to industry and innovation.
Topic covered include Fundamentals of Machine Learning, Data Preprocessing and Cleaning, Supervised Learning Algorithms, Unsupervised Learning and Dimensionality Reduction, Feature Engineering and Selection, Model Evaluation and Validation, Hyperparameter Tuning and Optimization, Ensemble Methods and Foundations for Deep Learning.
Full module specificationGain the essential skills to launch, manage, scale, and exit successful online businesses in the global market. This module equips you with advanced methodologies and strategic frameworks to innovate and thrive. Explore various online business models, master product management strategies, and leverage data-driven decision-making to stay ahead in the online landscape. Engage with advanced marketing techniques, operational tools, and emerging technologies to build a comprehensive understanding of creating and growing online businesses.
Topic covered include Digital Business Models, Product Market Fit, Entrepreneurial Finance Strategies, Value Proposition, Pitching and Presentation, Digital Marketing Strategies, Product Management, Operational Excellence, Financial Acumen and Growth Hacking.
Full module specificationUnlock the power of data with cutting-edge skills in R and Python. Learn to manipulate, analyse, and visualise datasets with precision and efficiency. This module provides hands-on experience with key libraries and techniques, ensuring you can transform raw data into meaningful insights.
Topic covered include Programming Fundamentals, Error Handling, Data Structures Mastery, Data Input and Output, Advanced Data Manipulation, Data Visualisation Techniques, Statistical Computing, Applied Data Analysis and Real-World Problem Solving.
Full module specificationRequirements are the foundation of any successful project. This module sharpens your ability to define, analyse, and refine them with clarity. It will help elevate your understanding of the discipline through practical techniques and critical insights.
Topic covered include Eliciting Requirements, Analysing Requirements, Modelling System Behaviours, Specifying Requirements, Prioritising Requirements, Maintaining Traceability, Managing Scope Creep, Validating and Testing and Agile Framework Integration.
Full module specificationYEAR 1 - SEMESTER 3
Undertake the pivotal project that crystallises your journey at the London School of Innovation. This module offers a unique opportunity to independently design and execute a project that signifies your mastery and potential influence. Engage in tailored guidance through one-to-one supervision and structured seminars, ensuring each step you take meets rigorous academic and professional standards. Embark on a path where your knowledge transforms into tangible outcomes, and explore the depths of your capability and originality.
Topic covered include .
Full module specificationEntry requirements
The information below reflects the current course structure and module details. Updates may be made annually, and revised details will be published in the Programme Specifications ahead of each academic year. The regulations governing this course are available on our website.
Qualifications or experiences
This programme is designed for established professionals. To qualify, applicants must have a degree in STEM (science, technology, engineering or math), Management/Business studies or Humanities, as well as at least 3 years' commercial experience in a technical or managerial position involving intellectually challenging day-to-day tasks.
Alternatively, applicants without a degree can qualify if they have at least 6 years' professional experience in a technical or managerial position involving intellectually challenging day-to-day tasks. |
English language
To succeed on this programme, strong academic English is essential.
If you are from a majority English-speaking country or have studied at an English-speaking university, no proof is needed. Otherwise, you will need an IELTS Academic score of 6 overall (with no section below 5.5), or an equivalent test (e.g. TOEFL, Duolingo, Cambridge, PTE, Oxford ELLT, LanguageCert, Trinity ISE, etc). |
IT FoundationSome programmes require a foundational understanding of IT through academic or professional experience. If you lack this background but meet other criteria, you may receive a conditional offer, subject to completing our free IT Foundation and Programming course. Your success in this course will demonstrate your commitment and ability to learn advanced digital skills, leading to an unconditional offer. |
Career prospect
The fusion of AI and business strategy is creating diverse career opportunities for those equipped with the right expertise. Employers across every sector are seeking professionals who can bridge the gap between technology and business, making the skills acquired in this course highly valuable in the current job market.
Graduates of this programme can pursue roles such as AI strategy consultants, digital transformation leaders, user experience designers, and innovation managers. With a strong foundation in implementing AI within business frameworks, you will be well-positioned to lead initiatives that drive organisational success.
AI Strategy ConsultantAdvises organisations on how best to exploit artificial intelligence to achieve commercial, operational, and customer goals. Blends technological insight with sharp business sense to craft roadmaps, build business cases, and supervise pilot projects, ensuring AI investments deliver real value and remain ethically sound. Learn more |
Digital Transformation ManagerLeads cross-functional programmes that refresh business models, processes, and cultures through cloud, data, and AI adoption. Balances project discipline with creative problem-solving to deliver user-centred, technology-enabled change that boosts efficiency and customer satisfaction. Learn more |
User Experience LeadChampions intuitive, inclusive, and data-driven digital experiences. Oversees research, wire-framing, prototyping, and usability testing to ensure products delight customers while meeting strategic objectives and accessibility standards. Learn more |
Product Owner – Intelligent PlatformsOwns the vision, backlog, and success metrics for products powered by machine learning or automation. Aligns user needs, technical possibilities, and commercial targets, ensuring timely releases and continuous optimisation. Learn more |
Data and Analytics ManagerOversees teams that collect, model, and visualise data, turning raw information into actionable business insights and AI-ready datasets. Balances technical governance with strong storytelling to guide strategic decisions. Learn more |
Innovation Programme DirectorDesigns and governs portfolios of innovation initiatives, from idea generation through to scaled implementation or spin-off ventures. Secures funding, builds partnerships, and embeds a culture of experimentation to keep organisations ahead of disruption. Learn more |
Chief Digital and AI Officer (SME)Exec-level leader in small to medium enterprises, responsible for overall digital vision, AI adoption, and technology governance. Shapes strategy, secures investment, and ensures initiatives translate into profitable, scalable business models. Learn more |
Generative AI Solutions ArchitectDesigns and implements solutions that embed large language models, image generators, and conversational agents into business processes. Ensures scalability, ethics, and security while translating complex model capabilities into practical enterprise applications. Learn more |
Skills development
As the synergy between AI and business grows stronger, the need for professionals skilled in both domains becomes essential. This course focuses on building a robust skill set that bridges technical knowledge and strategic business acumen.
You will develop proficiency in digital economics and learn to craft and implement AI strategies that drive innovation. Enhancing your ability to design user-optimised digital systems, the programme ensures you can create solutions that resonate with users.
Leadership training will empower you to guide teams through change, while mastering business case development and requirements engineering will refine your ability to deliver precise, purpose-driven solutions.
Real-world application
Organisations are increasingly adopting AI to solve complex problems and gain a competitive edge. This programme offers practical insights into applying AI strategies in real-world business contexts.
Through hands-on projects and case studies, you will tackle actual industry challenges, designing user-centred systems that enhance customer experiences. You will learn to develop compelling business cases that effectively communicate the value of your solutions to stakeholders.
By engaging with real scenarios, you will be prepared to translate theoretical knowledge into actionable strategies that deliver tangible results across various sectors.
Personal growth
Developing professionally also means growing personally to meet the demands of a dynamic digital world. This programme encourages you to enhance not just your technical and strategic skills, but also your critical thinking and creativity.
You will cultivate a leadership mindset, learning to inspire and manage teams effectively. The course fosters resilience and adaptability, empowering you to navigate and lead through change. By embracing innovation and challenging conventional thinking, you will emerge with a renewed sense of purpose and the confidence to make a meaningful impact in your field.
Tuition fees & funding
Ready to invest in your future? The following outlines the financial commitment and demonstrates the potential return on investment in your professional growth.
Payment
Return on investment
This tool is designed to help evaluate your potential ROI. Your post-graduation income opportunities will depend on company type, size, sector, location, market conditions, your skills and ability to impress, and many other factors. Do your own research.
Upon graduation, you'd get a job with a £45K salary, keeping around and repaying about £5K towards your loan. By year three, you're earning £50K , repaying another £5K and keeping about £45K , and so on.
From the end of the repayment period, your annual salaries will be fully yours to enjoy. That exciting future is why you invest today.
Of course, you should also account for taxes depending on your country, and whether load repayments are made pre or post tax.
Average income (UK)
| AI Strategy Consultant | £45K–90K |
| Digital Transformation Manager | £55K–100K |
| User Experience Lead | £50K–95K |
| Product Owner – Intelligent Platforms | £60K–110K |
| Data and Analytics Manager | £50K–95K |
| Innovation Programme Director | £65K–120K |
| Chief Digital and AI Officer (SME) | £80K–150K |
| Generative AI Solutions Architect | £65K–120K |
Why LSI
At LSI, we redefine higher education to meet the demands of a rapidly evolving world. Rooted in technology, innovation, and entrepreneurship, our approach is designed to empower individuals to thrive in an AI-driven future. From cutting-edge learning systems to a deeply supportive community, every aspect of LSI is crafted to inspire, challenge, and elevate your potential.
Specialist in
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AI-enhanced
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Community of
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Uniquely human
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Your learning journey enhanced with AI
A learning experience like no other, where cutting-edge AI transforms education into a personalised journey of discovery. At the London School of Innovation, we combine innovative technology with forward-thinking teaching to prepare you for an AI-powered future.
Virtual
private tutor
Experience the future of education today with our state-of-the-art AI-based teaching technology. No, it's not just an AI chatbot. It is your virtual tutor, guiding you through a personalised journey of hands-on learning.
Imagine an intelligent, supportive, and friendly multi-media experience. With interactive audio-visual feedback from an AI avatar, it offers formative assessments, critiques your work, and communicates effectively, simulating a full-time tutor available 24/7.
This proprietary technology is at the heart of the LSI offering, creating optimal learning paths for every student, identifying skill gaps, and driving their development to mastery.
Master
the theory with AI
Experience a learning journey tailored just for you. With AI, every lesson is customised to fit your pace and needs, making your education uniquely yours.
Complex subjects are rarely linear. The Interactive Knowledge Graph (IKG) technology by LSI maps each topic into connected concepts, dependencies, and depth levels. As you progress, the system tracks what you have covered and what still matters, ensuring no critical area is missed. Coverage is systematic, transparent, and designed for complete command of the subject.
Mastery is tested continuously, not assumed. AI-driven formative assessments check understanding at concept level, identifying gaps early and precisely. Feedback is tied directly to the Knowledge Graph, directing you back to what needs strengthening. Progress is measured by demonstrated understanding, not time spent.
Instant feedback
for assignments
Benefit from real-time AI feedback on your submitted formative assignments while you wait for teachers' review. Our cutting-edge AI technology provides instant insights, helping you track your progress and focus on areas for improvement, ensuring continuous growth.
Good feedback loses value when it arrives too late. Instant AI feedback gives you structured, objective input the moment an assignment is submitted. You can see where reasoning holds, where it breaks, and which standards are met. This allows you to act while the work is still fresh, reinforcing learning through immediate correction rather than delayed reflection.
This system does not replace academic judgement. You can still request detailed feedback from faculty at any point. The difference is momentum. Whether you are writing a critical analysis, solving technical problems, or developing code, early feedback helps you refine thinking, improve accuracy, and raise quality before formal review. Progress continues without unnecessary waiting.
Role-Play
with AI
Practise your skills in realistic, AI-powered role-play scenarios. You are placed in dynamic situations that test your decisions and mirror real-world challenges. This hands-on approach helps you build confidence and practical expertise in a safe, controlled environment.
Judgement is shaped by practice, not theory alone. AI role-play places you inside realistic professional scenarios where decisions have consequences. You might lead a difficult innovation review, respond to an ethical AI dilemma, negotiate technical trade-offs, or diagnose a system failure under pressure. Each scenario is structured, repeatable, and aligned to learning outcomes.
The benefit is controlled exposure. You can test approaches, see outcomes, and adjust without risk. Feedback focuses on decision quality, reasoning, and impact. Your skills improve because practice is deliberate, measurable, and closely tied to real-world demands.
FAQs
To apply for our academic programmes, you will need to use our online application system, the Admissions Portal. As part of your application, you will be required to upload relevant documents, including academic transcripts and personal statements. Under our Admissions Policy, your application will be assessed against the entry criteria.
An unconditional offer may be made if you meet all entry requirements for the programme. Accepting this offer constitutes a legally binding contract between you and the School, meaning you must adhere to the School's regulations and policies, pay tuition fees as scheduled, and complete registration and enrolment, subject to cancellation rights.
If you do not currently meet all entry requirements, you may receive a conditional offer. This offer will specify the conditions you must fulfil to secure your place, such as:
- Pending qualifications: Completion of specific academic requirements.
- English language proficiency: Requirements for international applicants.
- Non-academic requirements: Such as completing a DBS check for certain programmes.
Once you meet all conditions outlined in your conditional offer and accept the offer, you will establish a legally binding contract with the School.
The contract encompasses important terms and conditions regarding your engagement with studies, programme changes, data protection, liability, and cancellation. A copy of the contract is available on our website for your reference.
It is possible to apply for more than one programme at the School. We understand that prospective students may have diverse interests and career goals, and we encourage you to explore multiple options that align with your aspirations.
When applying for multiple programmes, you will need to submit a separate application for each one. Each application will be evaluated based on its own merits, adhering to our Admissions Policy. It’s important to ensure that you meet the entry requirements for each programme and to tailor your personal statement accordingly, highlighting why you are interested in each specific course.
Our Student Success Team is here to support you throughout this process. Should you have any questions or require guidance on your applications, feel free to reach out. We are committed to helping you find the right fit for your educational journey and to facilitating your path to success at the School.
We recommend that all prospective students apply as soon as possible to secure their place in their desired programme. Each programme's prospectus and promotional materials outline specific start dates that align with our effective registration periods. By applying early, you ensure that you have ample time to meet any conditions of your offer and obtain your Confirmation of Acceptance for Studies (CAS) if required.
Once you have submitted your application, you will be kept informed throughout the process. You can typically check the status of your application online through the Admissions Portal. Additionally, we will send you status update emails to keep you informed of any progress.
Once a decision has been made regarding your application, you will receive a formal notification via email. This will outline whether your application has been successful or if further information is required.
We understand that waiting for an application decision can be an anxious time, and our Student Success Team is available to answer any questions you may have during this process.
Our Admissions Policy states that interviews may be required for certain applicants as part of the selection process. The necessity for an interview typically depends on individual circumstances, such as the applicant’s qualifications, experience, and the specific programme they are applying for.
Interviews serve as an opportunity for both the School and prospective students to engage in meaningful dialogue, allowing us to better understand your motivations, aspirations, and how you align with our values. Should an interview be required, our Student Success Team will inform you during the application review process and provide guidance on what to expect.
Under our Admissions Policy, the School endeavours to provide constructive feedback to unsuccessful applicants, although this is subject to operational constraints. If you receive an unsuccessful outcome, we encourage you to reach out to our Student Success Team for insights on your application. This feedback can help you understand the reasons behind the decision and improve future applications.
Should you still have concerns after reviewing the feedback, you are entitled to submit a formal appeal in writing to the Director of Student Services. This appeal must be based on the original application to ensure fairness, as introducing new information could provide an unfair advantage. The Director of Student Services will carefully review your appeal and provide a formal response within 15 working days. It is important to note that the Director's decision is final.
This process reflects our commitment to transparency and fairness, allowing applicants to address any concerns about admission decisions.
Once we receive your completed application, including references and supporting documents, we aim to complete the decision-making process within 8-weeks. However, this timeframe may vary during peak periods or if an interview is part of the selection process.
If you have applied for a specific funded opportunity, please note that decisions may take longer than usual. We encourage you to reach out to our Student Success Team if you have not received an update after 8-weeks or if you have any other questions regarding your application. Your journey to joining our School is important to us, and we appreciate your patience as we review your application.
While a CV is not a mandatory requirement for your application, submitting one can provide a valuable overview of your educational background and work experience. Including a CV can help us better understand your qualifications and experiences, which may enhance your application. We focus on your academic achievements and personal statement as the primary components of your application. If you choose to include a CV, please ensure that it is relevant and highlights your skills and experiences that align with your chosen programme.
While we understand that circumstances can sometimes prevent timely submissions, extensions for application deadlines are not guaranteed. Requests for extensions will be considered on a case-by-case basis, depending on the specific situation and the reasons provided.
To initiate this process, please contact our Student Success Team as soon as possible with a detailed explanation of your circumstances. We encourage prospective students to stay informed about application deadlines and to submit their applications promptly to ensure the best chance of a successful enrolment.
If you find yourself needing to change your application after submission, you can easily request a modification by emailing our Student Success Team. In your message, please include essential details such as the programme you initially applied for and the new course you wish to consider.
We strive to accommodate all change requests, although approval may depend on the status of your application and the admission criteria at the time we receive your request. The team will assess your situation and guide you through the process.
Please be aware that any refunds related to your application will adhere to our Refunds and Compensation Policy. If you have any further questions or require assistance, do not hesitate to contact us.
You can still submit your application even if you have not yet received all of your documents, such as your final transcript or Certificate of English Proficiency. In such cases, you will receive a conditional offer outlining the specific qualifications and grades you need to achieve in order to meet our entry requirements.
Once you have obtained the necessary evidence, you can easily upload it through the Admission Portal. Upon satisfying all the conditions stated in your conditional offer, you will then receive an unconditional offer, allowing you to proceed with your studies at our School.
International applicants need to be mindful of specific conditions related to visa sponsorship. As our Visa Sponsorship and Confirmation of Acceptance for Studies (CAS) Policy explains, a CAS (Confirmation of Acceptance for Studies) will only be issued once certain requirements are met, such as fulfilling the terms of your offer, providing a deposit or proof of funding, and submitting the necessary documents. For full details, it's essential to review the additional regulatory context outlined by the UK Home Office - Study in the UK on a Student Visa. This sets out the requirements for international students coming to the UK under the Student Visa route.