AI

Artificial Intelligence for Business and Innovation

MSc

Programme details

  • Next start date: Jan 2027
  • Future start date: Sep 2027
  • Duration: 12-16 months
  • Fee: See fees tab

Overview

Use AI to deliver strategic value and drive innovation and sustainable growth.

Artificial intelligence is no longer experimental, it’s central to business strategy across every sector. From personalisation and automation to processing, optimisation and data-driven decision making, it’s transforming how organisations operate, innovate and compete. This course not only equips you to understand their algorithms, but how to apply them strategically and responsibly to create measurable business value.

You'll experience

  • In-demand specialism: build skills in AI, transformation and responsible implementation
  • Hands-on learning: tackle real business challenges through simulations and Tech Labs
  • Responsible leadership: navigate AI regulations, risk, bias, and governance with confidence
  • Tech strategy: turn business needs into digital solutions that deliver measurable impact
  • Real-world application: develop consulting frameworks and implementation roadmaps

Why Regent’s?

Discover more about what makes Regent's special.

Business students in class

What to expect 

This course prepares managers and leaders to harness artificial intelligence for innovation, sustainable growth and competitive advantage. You’ll develop the expertise organisations increasingly demand – the ability to understand AI capabilities, translate business challenges into effective technical solutions and manage implementation responsibly. You’ll quickly learn to navigate regulations, compliance and risk, and proactively address bias and accountability.

Moving beyond technical theory, you’ll learn to analyse organisational workflows and data systems, diagnose transformation opportunities, design digital solutions and harness AI to generate measurable impact – ensuring initiatives support commercial performance and wider societal priorities. Through dedicated Tech Labs, you’ll learn how AI interacts with, and amplifies, other emerging platforms, build consulting frameworks, develop implementation roadmaps, consider real-world constraints, explore different governance approaches, unpick industry case studies, and engage in simulations that reflect authentic client scenarios.

By linking business strategy with practical technology experience, you’ll be equipped to turn ideas into action, lead responsibly, and create lasting value in an AI-driven economy.

Professional recognition

You’ll have the opportunity to gain recognised professional certifications like:

  • Azure Fundamentals
  • IBM Generative AI Engineering Professional Certificate
  • Professional Machine Learning Engineer

These opportunities may be embedded within module content or offered as optional extracurricular activities alongside the course. Please note availability is not guaranteed and there might be additional costs or conditions attached. Participation may be optional, and you may need to opt in to take part.

London-centric learning

With London on your doorstep, you'll have opportunities to immerse yourself in the AI, technology and business sectors – gaining practical experience and building valuable relationships.

  • Hear from guest speakers discussing AI, innovation and more
  • Join industry conferences such as the AI Summit London and AWS Summit London
  • Attend Big Data & AI World, DTX + UCX and Tech Show London at Excel London  

A tailored experience 

We put you in the driving seat – shaping your education from day one: 

  • Your own support officer: receive tailored advice and support when needed
  • Academic guidance: access regular one-to-one sessions and a unique open door policy
  • Flexible modules: personalise your course with a choice of elective modules
  • Additional language classes: prepare for domestic and international opportunities 

This course is subject to validation.

How to apply

Applying to Regent's is quick and easy. We accept direct applications year-round and there's no application fee. If you haven't received your exam results, you can still apply and we'll issue you with a conditional offer. You just need be clear in your application which qualifications you're currently studying for.

Step 1: Apply

During the application process, you'll have the chance to upload supporting documents, including:

  • A copy of your passport (photograph ID page)
  • Academic transcripts and certificates from all previous studies
  • A 500-700 word personal statement (view guidance)
  • If you're not a native English speaker, proof of your English proficiency

Credit transfer

If you’ve already studied part of your degree elsewhere, you may be able to apply for Recognition of Prior Learning (RPL) and join your new course at an advanced entry point. To apply for RPL, you'll need to state this clearly in your application and provide us with the certificates, transcripts and module descriptions for your previous course.

Step 2: Receive a response

You can expect to receive a decision on your application within 10 working days. We'll assess whether you meet our entry requirements and will notify you of our decision via email. UCAS applicants will also receive official notification via the UCAS system.

For some of our courses, the selection process may include an interview or audition. They can take the form of a one-to-one interview, a group interview or a portfolio review, which may be conducted by telephone or online. Arrangements of these are made between you and the Admissions department.

Step 3: Accept your offer

If you wish to accept your offer, you must pay your (non-refundable) advance tuition fee deposit. This will confirm your place. Here's how.

Step 4: Register 

Closer to the start of term, our Admissions team will send instructions regarding your registration process. This will include information on completing your online enrolment before you arrive, as well as a checklist of documents you'll need to bring with you to campus.

Information for international students

If you're an overseas student, you'll likely require a visa to study in the UK. Here's how to apply.

Scholarships and funding

There are a wide variety of funding and scholarship opportunities to help you finance your studies. For more information, please visit our scholarships and funding page.

Fees

Tuition fee: 

  • January 2027 start: £28,750 per year, fixed for the duration of the course
  • September 2027 or January 2028 start: fees are under review; applicants will be notified once confirmed

Non-refundable advance deposit:

  • UK students: £1,500
  • Non-UK students: £5,000

Read more about tuition fees.

When do I need to pay?

If you receive an offer for a course, you’ll receive a pro forma invoice. To accept your offer and secure your place, pay your deposit payment as soon as possible.

The remaining portion of your first year’s tuition fees will be due when you enrol. At this time, you’ll receive your invoice for the full year. You can choose to pay for the year in full before the start of your first academic year or in two instalments, spread out across the academic year. The dates of these instalments will be determined by when your course starts.

What do fees include?

Fees cover the cost of all tuition and access to the University’s IT infrastructure and library learning resources. Fees are presented for the first level of study which equates to two terms.

What other costs should I budget for?

You will need to budget additional funds for accommodation and living expenses, travel, and any additional trips, visits, activities or courses that you choose to participate in outside of the tuition offered as part of your course.

The library holds a limited number of copies of core textbooks and where possible in e-format. You will be encouraged to purchase your own textbooks and will need to budget approximately £80-£100 per year, depending on your course.

How you'll learn  

At Regent's, you’ll have the freedom to explore your interests in a supportive, collaborative environment with regular one-to one contact with academics, hands-on classes, industry experiences and some of the best networking opportunities you can get – helping you develop the skills and confidence you need to succeed.

You’ll learn through a blend of:

  • Seminars and guest lectures, where you’ll get to grips with key themes and learn from active industry professionals
  • Live briefs and consultancy work, putting theory into practice with tasks set by real-world businesses and professionals
  • Practical workshops and tech labs, including practical skills development, immersive challenges and simulations  

Contact hours

You’ll have 14 hours per week of timetabled teaching. Outside your classes, you'll work on assignments both independently and collaboratively with classmates. This involves further reading, research and reflection, as well as preparation for workshops and assessments.

Teaching staff 

You'll be taught by experienced academics who are actively involved in the artificial intelligence and business sectors. They bring real-world insights straight into the classroom, making sure you’re learning about the very latest industry developments.  

You'll also regularly meet with a personal tutor on a one-to-one basis, making sure you’re getting the most out of your course. Plus, our impressive calendar of guest lectures will inspire your work and introduce you to potential employers.

We’re a member of Member of the Chartered Association of Business Schools (CABS), the Association to Advance Collegiate Schools of Business (AACSB), the Business Graduate Association (BGA) and the Association for Project Management (APM) – meaning we’re peer-reviewed and committed to making sure your teaching is of the highest quality.

Assessments

You’ll be assessed via a range of projects, reports, plans, pitches, presentations and live and simulated briefs. It’s important to us that your learning is inclusive, engaging and authentic – that’s why our assessment types are varied, dynamic and built around real-world ways of working.

Disability support

We welcome and support students with a wide range of disabilities and health concerns. Please speak to us as soon as possible, so we can provide the help you need.

Academic requirements: Level 7

We're interested in your potential, as well as your prior achievements – and we review each application comprehensively on its own merit. You'll need one of the following qualifications:

  • Minimum second class UK undergraduate degree
  • Equivalent international qualifications, as deemed acceptable by Admissions & UK ENIC

Accreditation of Prior Experiential Learning

We also welcome applications from students who don't meet our usual entry requirements. To be accepted for exceptional entry, you must:

  • Have three years of work experience if you don't hold a degree

You'll need to provide us with:

  • Your current CV
  • A headed employment letter detailing your position and length of service
  • A headed reference letter
  • A personal statement outlining your experience and ambitions

This will be assessed on a case-by-case basis, by academic referral only.

For more guidance on international entry requirements, visit our international students page.

English language requirements 

Minimum English proficiency requirement through one of the following qualifications (or equivalent):

QualificationSubjectGrade
GSCE*EnglishC (4)
IB SL or HL*English A4
IB HL*English B5
US HSD (studied in a majority English-speaking country)*Grade 11 and above in EnglishC
IELTS*AcademicOverall score of 6.5, with 5.5 or above in each component
UG degreeFrom English-speaking countries – defined by the UKVISecond class

Please note, we do not accept home/online editions of English language tests.

We also offer our conditional offer holders a free, online diagnostic test known as Password Skills Plus. This must be booked in advance. Discover more.

*Qualification satisfies the English language requirements of the UKVI for non-UK/Irish nationals.

Careers

By combining strategic insight with hands-on technical expertise, you’ll graduate with the confidence to implement change effectively, make responsible decisions and generate sustainable impact in a rapidly evolving digital landscape. Roles you could go into include:

  • AI Product Manager/Director
  • AI Business Analyst
  • Technology Innovation Manager/ Director
  • Applied AI Specialist
  • Digital Transformation Officer/ Lead
  • AI Change & Adoption Lead
  • AI Strategy Consultant

With this Master’s, you can also achieve further qualifications and recognition including Azure Fundamentals, IBM Generative AI Engineering Professional Certificate and Professional Machine Learning Engineer, subject to availability and scheduling, and meeting any other requirements.  

Graduate visa

After you've completed your course, you may be eligible to apply for a Graduate visa. This enables you to work or look for work in the UK for up to 18 months after you leave Regent's, without the pressure of having to secure a job immediately.

Careers support

Feeling overwhelmed about your career path? Our Careers team is here to provide tailored advice and support every step of the way, as well as lifelong access to invaluable resources.

  • 24/7 access to online guidance and resources
  • Exclusive internships, networking opportunities and industry events
  • Personalised consultations – from interview and CV prep to business advice
  • Access to Handshake, connecting you with 650k+ global employers

Your course modules

At Regent’s, you’ll learn to lead and innovate in fast-changing environments. Beyond your compulsory core modules, you’ll choose electives that challenge your thinking:

  • Core modules: building expertise in your chosen discipline
  • Elective modules: broadening your perspective with additional subjects or languages

Classes are dynamic, collaborative and varied – blending academic study with live challenges, industry projects and insights from leading experts.

Read more about how you'll learn and view your elective modules (subject to availability and change).

Your choice of intake

You can choose to start in either September or January. No matter which intake you choose, you’ll complete three terms. For September starters, these are autumn, spring and summer, lasting 12 months. January starters take a break over summer and complete an extra autumn term. Therefore, this lasts slightly longer: 16 months.

The structure below depicts a September start. January starters will complete the same modules, but in a slightly different order.

View your academic calendar

MSc Artificial Intelligence for Business and Innovation

Term 1

Module title
AI Ecosystem, Ethics and Governance Artificial Intelligence (AI) operates through complex ecosystems that combine data, computational infrastructures, organisational practices and regulatory frameworks. In this module, you'll examine how ethical principles and governance arrangements shape the development and use of AI across public and private sectors. You'll critically analyse how decisions embedded in AI systems influence decision-making, accountability, fairness, transparency and broader societal outcomes. Through an applied, problem-solving learning approach, you'll engage with practical dilemmas such as managing algorithmic bias, governing data access, ensuring meaningful human oversight and aligning innovation with emerging AI regulations. In dedicated Tech Lab sessions, you'll design and assess AI governance protocols, translating ethical and policy considerations into operational choices. Drawing on industry and policy-oriented case studies, you'll develop the skills needed to lead and govern AI systems responsibly in complex, high-impact contexts. Building practical fluency in managing AI platforms and cloud environments is a core learning outcome, with activities aligned to professional pathways such as Microsoft Azure and AWS Certified Machine Learning.
Emerging Technology Frontiers This module explores the ideas and innovations shaping the future of business. You'll examine how technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), Extended Reality (XR) and Blockchain are moving beyond experimentation and into organisational practice. Through disruptive business cases and guided discussion, the module develops an understanding of how these technologies work, create value and transform industries, changing how organisations think, decide, compete and engage with their audiences. The focus is on strategic thinking, opportunity recognition and responsible innovation. Attention is given to how leaders make informed choices about adoption and implementation in environments defined by constant change. It connects technological possibility with commercial reality, showing how organisations design meaningful products, services and experiences. The module equips you to critically navigate emerging technologies and understand their influence on sustainable growth and competitive advantage, while maintaining a human-centric approach to strategic business decision making
Masters' Perspectives This module will develop your advanced academic skills as you grow as an independent thinker and researcher. Through the distinct lens of your subject field, you will explore advanced critical thinking and analytical skills, and develop your ability to communicate complex ideas, develop research questions and plan to reach ambitious objectives with maximum impact and clarity.
Language or Special Elective Choose between a language module or an elective module. Scroll to the top of the page to find a link to our full list.

Term 2

Module title
Human-AI Design Thinking This module equips you with practical skills for implementing AI solutions within organisational contexts, emphasising systematic problem decomposition and workflow analysis before technical implementation. Drawing on agile principles, you'll learn to decompose complex challenges into manageable components. The curriculum centres on ethnographic research methods – interviewing domain experts and stakeholders to understand workflows before deploying technology solutions. Core to the module is systems thinking: analysing how data flows through organisations, identifying where AI genuinely adds value versus where deterministic functions suffice, and recognising AI as a unique tool rather than default solution. You'll practice mapping real-world processes and evaluating which workflow steps require probabilistic versus rule-based approaches.
AI Strategy and Consulting for Value Creation This module examines how Artificial Intelligence strengthens organisational strategy and delivers measurable business value. The module introduces consulting frameworks used to diagnose organisational needs, assess AI readiness and design responsible AI-enabled solutions. You'll learn how leaders and consultants frame AI problems, define strategic value propositions and align AI initiatives with wider organisational goals. Using consulting-style cases, applied tasks and live scenarios, you'll be able to analyse how AI supports strategic planning, operational improvement, customer experience and innovation. The emphasis is on strategic decision-making, stakeholder engagement and change leadership rather than technical development. By the end of the module, you'll develop the ability to shape, assess and challenge AI-driven strategies within consulting and organisational contexts focused on long-term, sustainable value creation.
Professional Perspectives This module will help you to define and develop your professional identity and build career objectives. You'll explore the skills you need to succeed in the contemporary workplaces (including large organisations and start-ups), explore professional communications, project management, collaboration, entrepreneurial and creative thinking, active personal and professional reflection. You’ll also learn strategies for how to plan your career, aware that concepts of work will become increasingly more fluid as time goes on.
Language or Special Elective Choose between a language module or an elective module. Scroll to the top of the page to find a link to our full list.

Term 3

Module title
Final Major Project The Final Major Project is the culmination of your master’s course. You'll integrate and apply the knowledge, experiences and thinking you've developed to a project that you conceive and design. Your project should ideally be focused on your next professional steps – it can form part of your portfolio as you move towards work, further study or setting up a new business. It may be based on conducting research, solving a practical problem, or creating an artefact – or it may be a combination of all three. Whichever approach you choose, you will critically record and reflect on your intellectual, creative and investigative processes in detail. While you’ll have the support of your course tutors and an academic supervisor, as a postgraduate student you’ll be expected to develop and prove your ability to operate independently in both academic and professional settings.

Apply now

MSc Artificial Intelligence for Business and Innovation