Dean’s Impact Scholarship
Award value
MSc: £25,000, FTMBA: Up to 50% of tuition fees, EMBA: Up to 50% of tuition fees, WMBA: Up to 50% of tuitions fees, GMBA (Sept 27): Up to 50% of tuition fees
Available to
Home and overseas students
MSc AI, Economics & Policy
This one-year master’s, delivered with the Department of Computing, equips you to understand AI and its impact on economies, business and society.
Key programme information
Build expertise in harnessing complex AI systems while understanding the need for responsible governance
Launching in 2027, our MSc AI, Economics & Policy is delivered jointly by ³Ô¹ÏºÚÁÏ Business School and the Department of Computing. The programme has been directly informed by our strong links with business leaders, regulators, technology firms, consultancies and policy organisations. It will equip you with a unique cross-sector skillset to navigate complex AI systems, understand AI’s impact on economic growth and competition, and address the challenges of responsible AI governance and public policy. As a graduate you will be prepared for careers in technology policy, consultancy, regulation and AI governance, helping you stay innovative, responsible and sustainable when using AI within your organisation.
Learn in a world-renowned science, technology, engineering, medicine and business (STEMB) university and draw on ³Ô¹ÏºÚÁÏ's strengths in computing, data and technology.
Apply your learning to real-world business challenges through an individual project or internship.
Complement your technical expertise with an understanding of the strategy, economics and policy needed to make informed strategic decisions about the use of AI – giving you a skillset that is much sought-after by employers.
Study a curriculum that has been informed by leading policy organisations including the Information Commissioner's Office, Competition and Markets Authority (CMA), Financial Conduct Authority (FCA), OFCOM and European Commission.
#2
in the world (³Ô¹ÏºÚÁÏ, QS World University Rankings 2027)
#1
for Graduate Employment in the UK (³Ô¹ÏºÚÁÏ, The Times and Sunday Times Good University Guide 2027)
#3
city for students (London, QS Best Student City Rankings 2027)
The ³Ô¹ÏºÚÁÏ advantage
/fit-in/600x600/prod01/channel_5/imperial-business-school/media/ib---restricted-images/people-list/2026-10-12_Lily-Mansfield.jpg)
It's a really interesting period of time in the business world, and understanding how to push our work further, to research deeper and also be critical and question our sources, has pushed me to be a better researcher. ³Ô¹ÏºÚÁÏ has pushed me to interrogate how we use AI to the best of its abilities, but also in a constructive way.
Programme content
The MSc AI, Economics & Policy will expand your technical expertise in areas like machine learning and generative AI, while developing the economic and policy knowledge that will set you apart in a competitive job market.
All students begin with pre-study modules in computer science, economics and basics of law which ensure you are prepared for the academic rigour of the programme.
You will then complete five core modules that focus on the three pillars of the programme: AI and data systems, the economics of AI and digital markets, and the legal and regulatory frameworks governing both. You'll develop practical skills in data analysis and AI tools alongside a critical understanding of how algorithmic systems are regulated, how digital markets operate and what responsible AI looks like in practice.
Through flexcore and elective modules you will be able to tailor the programme to your interests and career ambitions, with options spanning technical topics, such as natural language processing, and applied industry contexts including finance, health analytics, energy and marketing.
In the Summer term, you’ll bring together everything you’ve learned in an Individual Project in a real-world setting. This may involve completing an Internship with an industry or policy partner, undertaking a more traditional research project or pursuing another approved option.
Discover more about the programme
Download brochureAdditional programme composition information
Programme preparation
Through a combination of online pre-study modules and induction week you will be ready to hit the ground running and maximise your learning on the programme.
Programme preparation
Online pre-study modules Online
July-September
Before the start of your programme, you will be expected to complete online pre-study modules, delivered via Canvas, our virtual learning environment (VLE). Some of these modules are compulsory while others are strongly recommended as they will help you prepare you for the remainder of your programme.
Induction week On campus
On campus | Early September, compulsory
Your MSc AI, Economics & Policy induction will be spent at our vibrant South Kensington campus in London. You will be invited to a welcome event where you can meet and network with your fellow students, distinguished faculty and dedicated Programme team, building new connections and getting a taste of life at ³Ô¹ÏºÚÁÏ.
Core content
Core modules
Our core modules are the backbone of the programme and will provide you with tools and knowledge across artificial intelligence, economics and markets, and law, regulation and policy. You’ll learn about regulatory, legal, and ethical implications of embedding AI into industry and navigating real-world governance challenges.
Foundations in AI, Economics and Policy
Build essential skills in law, programming and economics as a foundation for advanced study. This module introduces legal and regulatory frameworks, core economic principles and Python programming, equipping you to analyse the impact of AI on firms, markets and policy. Tailored for diverse backgrounds, it ensures all students equally are prepared for the challenges ahead.
Economics of AI and Digital Markets
Examine how AI and digital technologies transform market structures, firm strategies and competition. This module covers platforms, data, pricing and market power, and explores AI’s impact on productivity, labour and its implications for policy. Apply economic theory and real-world examples to understand the evolving dynamics of digital and AI-driven markets and hear from guest speakers across industry and policy.
Law and Regulation of Algorithmic Systems
Examine the legal and regulatory frameworks governing algorithmic models within software products and services. This module addresses issues such as discrimination, automated decision-making, accountability and audit obligations, with a focus on high-risk applications and emerging standards, like the EU AI Act. Develop the skills to analyse, appraise and apply regulation to real-world algorithmic systems.
Law and Policy across the AI Stack
Analyse how legal and policy frameworks govern the entire AI supply chain, from data inputs to system deployment and distribution. This module explores compliance, liability and governance issues at each stage, equipping you to assess responsibility and manage legal risks in real-world AI development and operations.
Responsible AI
Examine the ethical challenges of managing AI technologies. This module explores the dynamic relationship between technology, organisational practices and ethics, equipping you to critically assess responsibility, accountability, fairness and sustainability in digital innovation projects.
Flexcore modules
Flexcore is a set of four key computing modules run in the Autumn term, of which you can choose a maximum of two. With guidance from faculty, you will choose your preferred modules based on your prior experience in each topic.
Flexcore modules
Introduction to Machine Learning
Gain a solid foundation in machine learning concepts, algorithms and methodologies. This module introduces key problem types, supervised and unsupervised learning, neural networks and evolutionary algorithms. Develop practical skills to implement, evaluate and apply machine learning solutions, preparing you for advanced topics and real-world applications.
Reinforcement Learning
Gain a unified understanding of reinforcement learning, from foundational theory to state-of-the-art algorithms. This module covers tabular and deep RL, tracing the evolution of model-free and model-based methods. Develop skills in theory, implementation and evaluation, using Python and PyTorch, and learn to critically assess and apply RL techniques to complex decision-making problems.
Maths for Machine Learning
Develop advanced mathematical skills essential for designing and implementing modern machine learning algorithms. This module covers multivariate calculus, probability, optimisation and inference techniques, equipping you to critically assess and build robust statistical models for real-world applications.
Principles of Distributed Ledgers
Explore the foundational principles of distributed ledger technologies, such as blockchain. This module covers blockchain architecture, smart contract programming and decentralised application development. Gain hands-on experience with EVM-based platforms, security analysis and DeFi applications, preparing you to innovate in the evolving world of digital finance and infrastructure.
Personalisation
Students will take six to seven electives throughout the year depending on the credit value of the modules selected.
Electives will allow you to develop specialist knowledge across rapidly evolving fields. Each elective will introduce the core analytical models, frameworks and ethical considerations shaping the modern data-driven landscape.
You will gain expertise in both the language and tools specific to each discipline as well as critical perspectives that are essential for responsible innovation in today's digital economy.
Personalisation
AI Strategies in Marketing, Innovation and Consumer Behaviour
Explore the transformative role of AI in marketing and consumer behaviour, blending theory with practical applications. This module covers machine learning, generative AI and prompt engineering, with a focus on market research, content creation, SEO, personalisation and social media strategies. Examine ethical considerations and future trends, including VR, AR and the metaverse, to prepare for the evolving landscape of AI-driven marketing.
Big Data in Finance
Discover how machine learning is reshaping financial decision-making through advanced analysis of large datasets. This module covers the evolution from linear models to neural networks, focusing on return prediction and credit risk assessment. Gain hands-on experience in Python, developing robust, production-ready systems with a strong emphasis on model validation, interpretability and deployment for real-world finance.
Business Model Design for the Digital Economy
Examine how businesses create, deliver and capture value in the digital age. Learn to design innovative business models and leverage intellectual property for entrepreneurial success. Case studies and practical exercises provide a deep, practice-based understanding of value creation and capture in IP-intensive industries.
Data Management and Ethics
Gain a comprehensive overview of big data applications and technologies, including Spark. This module covers the full data lifecycle, from acquisition and cleaning to integration, processing and digital preservation, alongside critical topics in data security, ethics and privacy. Develop practical coding skills for scalable analytics and build the expertise to navigate the evolving landscape of big data solutions responsibly.
Data Wrangling and Visualisation
This module introduces practical data wrangling and visualisation techniques in R and Tableau, emphasising how to ask insightful business questions and analyse data interactively. Exploratory data analysis methods will be discussed from a statistical point of view and with cases in a management context. Our discussions will be complemented by real datasets from retail, supply chain, finance and other industries. You will be prepared to use analytical and data-driven approaches to make informed management decisions.
Digital Assets
Build a robust understanding of blockchain and distributed ledger technology, from cryptographic foundations to real-world applications. Explore the evolution of digital assets, the core value propositions, and the historical significance of the Bitcoin white paper. Analyse canonical crypto protocols, DeFi innovations - including tokenisation, smart contracts, and NFTs - and the strategic, legal and regulatory challenges shaping the sector. Develop the skills to optimise processes, innovate business models and navigate the dynamic landscape of digital finance.
Digital Businesses and Marketplaces
Explore the economics of information, data and digital markets, and the strategies firms use to compete. This module covers information goods, network effects, multi-sided markets, machine learning and blockchain. Develop the skills to analyse digital business environments and provide strategic recommendations for success in the digital economy.
Energy Analytics
Explore key analytic techniques for the energy industry, with no prior sector knowledge required. This module introduces energy systems and markets, forecasting electricity demand, risk management and real options for investment valuation. Learn to analyse industry challenges, including renewables and decarbonisation, and apply quantitative methods for storage optimisation and demand management in evolving energy systems.
Causality and Explanation in AI
Build practical skills in explainable AI and in using causal analysis in AI. This module explores how and why an AI model makes a particular decision. It also introduces the main ideas and tools used to understand cause and effect, think about “what if” situations and identify causal relationships from data.
Formal Methods for Safe AI
Gain a comprehensive overview of formal methods for verifying, certifying and monitoring AI systems. This module covers modal and temporal logics, model checking and reasoning about multi-agent systems. Learn to specify, verify and improve the safety and strategic behaviour of AI agents, including applications in reinforcement learning and complex environments.
Generative AI
Develop a deep understanding of generative AI, from foundational theory to advanced models like VAEs, GANs, diffusion models and transformers. This module blends hands-on coding with real-world applications across text, audio, image, 3D and video. Critically assess the strengths, limitations and ethical implications of generative AI, preparing you to innovate responsibly in this rapidly evolving field.
Healthcare and Medical Analytics
Examine how analytics drives decision-making in healthcare organisations. This module blends theory and hands-on analysis of patient, provider and pharmaceutical data, addressing key challenges in both private and public health sectors. Explore metrics, privacy and policy issues, and apply advanced statistical and machine learning techniques to real-world healthcare problems.
Machine Learning Applications in Marketing
Develop practical, data-driven marketing skills through hands-on analysis of real-world datasets and cases. This module equips you to apply machine learning and analytics to solve key marketing challenges, from customer insights to campaign optimisation and social media analysis. Gain the analytical mindset and quantitative tools needed to drive effective marketing strategies in today’s digital landscape.
Machine Learning and Finance
Gain a practical and theoretical foundation in machine learning for financial applications. This module covers supervised and unsupervised learning, neural networks and advanced sequential modelling with attention mechanisms. Apply Python-based techniques to real-world finance challenges such as credit risk, sentiment analysis and speech recognition, developing the skills to implement and optimise data-driven investment strategies.
Natural Language Processing
Explore the foundations and real-world applications of Natural Language Processing, with a focus on deep learning and large language models. This module covers word representations, text classification, language modelling and advanced architectures. Gain hands-on experience training and fine-tuning state-of-the-art NLP models for diverse language tasks.
Predictive and Prescriptive Health Analytics
Learn how predictive and prescriptive analytics drive data-informed decisions across healthcare, from patient care to system operations. This module covers project scoping, workflows and key methods, including regression, classification and optimisation. Apply theory to real healthcare data and case studies, developing practical skills to address complex challenges in health analytics.
Applied learning
You have the option to undertake an Internship or an Individual Project. These are designed to synthesise and apply your learnings from the programme to real-world contexts and prepare you for your future career.
Applied learning
Internship
If you choose to undertake an internship in industry you will apply programme knowledge in a professional setting, work on a substantial real-world problem and develop independence, analytical skills and effective communication. You will conclude the experience with a final report and presentation, with support from both the workplace and academic supervisors.
Individual Project
Deliver a substantial, independent AI project that synthesises your learning across the programme. This capstone module develops your ability to research, design and implement advanced AI solutions, while demonstrating originality, technical skill and effective communication through a scholarly report and presentation. The project is supervised by an academic.
Programme content FAQs
- How is MSc AI, Economics & Policy structured?
- What technical skills would I build on MSc AI, Economics & Policy?
- Do you offer any programmes on a part-time basis?
- Which team should I contact for help?
How is MSc AI, Economics & Policy structured?
Before the programme begins you will complete some online pre-study modules. You will then complete five core and two flexcore modules during the Autumn and Spring terms.
From the Spring term you can tailor the programme to your interests, choosing six to seven elective modules (depending on credits).
In the Summer Term you will choose between an Internship or Individual Project. These Applied learning modules give you the opportunity to use the practical, analytical and problem-solving skills you have gained on the programme, in real-life business contexts.
What technical skills would I build on MSc AI, Economics & Policy?
MSc AI, Economics & Policy includes an extensive range of electives, which allow you to tailor the programme to your interests and career goals. These include modules to support your technical skills in areas such as machine learning, generative AI and natural language processing.
Do you offer any programmes on a part-time basis?
Almost all of the MSc programmes we have available are 12 or 16 month, full-time programmes. The only exception is our MSc Strategic Marketing (online, part-time) programme, which is available on a part-time basis.
Which team should I contact for help?
Please note that before you contact us you should also check information on the Business School or university website. If your question isn’t answered, please contact the appropriate team below.
General application queries
Recruitment & Admissions team
business.school@imperial.ac.uk
Deposit and tuition fee invoice queries (including refunds) or to check if your payment has been received
Tuition Fees team
tuition.fees@imperial.ac.uk
+44 (0) 20 7594 8011
To check if your documents have been received or for queries regarding your CAS number
Central Admissions
business.admissions@imperial.ac.uk
+44 (0) 20 7594 7258
Career-related queries from admitted students
Careers team
ib.careers@imperial.ac.uk
Visa and immigration queries
International Student Support
international@imperial.ac.uk
+44 (0) 20 7594 8040
Accommodation queries
accommodation@imperial.ac.uk
+44 (0) 20 7594 9444
General student information and advice
Student Hub
student.hub@imperial.ac.uk
+44 (0) 20 7594 9444
Advice on budgeting and London living costs or on external scholarships
Student Financial Support
student.funding@imperial.ac.uk
+44 (0) 20 7594 9014
If you’ve submitted your application but haven’t received your CID number
Registry Systems
registry.systems@imperial.ac.uk
Password or technical issues with your ³Ô¹ÏºÚÁÏ Gateway account
IT Service
deskservice.desk@imperial.ac.uk
+44 (0)20 7594 9000
Careers and employability
Dedicated support from the moment you accept your offer
³Ô¹ÏºÚÁÏ Business School Careers provides world-class support that is tailored to your own individual career aspirations, and is an integral part of our MSc AI, Economics & Policy programme.
The programme prepares you for roles in technology companies, consultancies, regulatory authorities, competition agencies, central government and international organisations. In a job market disrupted by AI technology, organisations demand enterprise-wide AI governance to maintain a competitive edge and future leaders will need both deep subject expertise and the AI fluency to lead effectively across functions. You will be equipped to work at the interface between technical teams, business leaders, policymakers and regulators.
The programme is designed with real-world experience at its core. Guest lectures from industry practitioners and regulators, and applied projects, give you direct exposure to the organisations shaping AI governance and the people making decisions within them. Career Clubs, hackathons and networking events open further doors and help you build the professional connections that matter.
Want to hear directly from our students?
Additional careers and employability information
Support you receive
Pre-study support
Once you are accepted onto the programme you will gain access to Canvas, the Business School’s virtual learning environment. Here you will find the Careers Primer, which will support you to identify your career goals. Completing the Primer is required before you can access the full Careers Service. The Primer includes:
1. Foundations for career success
This online module will help you develop your career strategy and understand how to market yourself effectively.
2. Writing your ³Ô¹ÏºÚÁÏ Business School CV
You will create your CV in line with the ³Ô¹ÏºÚÁÏ Business School template and be guided to use AI to enhance it.
Webinars
During the summer prior to starting your programme, Careers will deliver multiple webinars. These sessions provide information about the service, how it will support you and offer insights on the graduate recruitment market. You will also be invited to webinars with the International Student Office to understand post-study work options and visa requirements.
Career Consultants
Our Careers Consultants bring deep sector expertise, human insight and up-to-date knowledge of the evolving AI landscape. They will help you navigate this environment with confidence, combining the power of digital tools with your own authentic voice and judgment.
You will have access to our expert team throughout the year to help you reach your goals. You will set up at least one initial appointment in the autumn term, as well as attending an induction presentation. You will then have access to a mix of one-to-one and small group appointments offering the following services:
- career planning to identify your skills and strengths;
- application support including CV, cover letter and personal statements;
- practising your ‘pitch’ or improving your LinkedIn profile;
- mock interviewing to gain feedback on your interview technique;
- case study or case interview practice sessions;
- technical interview preparation;
- guidance on how to negotiate job offers.
Workshops
We run a broad range of workshops each year to develop students' professional skills and improve their employability prospects. Across all our workshops, we combine the best of human and AI support, ensuring that the skills you develop are grounded in the realities of today's AI-driven workplace. Some of these workshops include:
- Sector specific sessions
- Succeed at Interview
- Job Search for Experienced Students
- Presenting with Impact
- Understanding Your Teamwork and Leadership Style with MBTI
- Managing Cultural Difference in the Workplace
- Emotional Intelligence for Business
- LinkedIn Guys - Accelerate your Career Online
Workshop themes are indicative and may be updated each year.
Industry Links
We work alongside alumni and employer representatives from global organisations, small and medium sized firms and start-ups. Examples of organisations we have worked with across our programmes include Amazon, Bain & Company, Bloomberg, EY, LEK Consulting, J.P. Morgan, Morgan Stanley, PwC and UBS.
Company presentations and panel events
We also host a variety of exclusive employer events, where you will find out about opportunities within their organisations and what they look for when recruiting graduates. This can range from company presentations, networking, panels, one-to-one sessions and workshops that offer you the chance to engage with a variety of business representatives or alumni.
Careers fairs
We hold a cross-sector on-campus Careers Fair every September, providing students with the opportunity to network with representatives from a number of companies in their chosen sector.
Careers Week
During the Autumn term we host a dedicated Careers Week for all students on our Master's programmes. This is an opportunity to attend employer events, workshops, industry sessions, panel events, connect with alumni, attend career consultations and also work independently on your networking and career strategy.
Career Clubs
The Business School supports a number of student-led , providing extensive networking opportunities with students, alumni and other professionals.
There are clubs aligned to regions and core industry sectors, as well as clubs to promote the visibility of underrepresented groups.
International support
³Ô¹ÏºÚÁÏ Business School has built extensive international connections. Our Global Hubs in Asia-Pacific (APAC) and Europe deliver a variety of region-specific events, workshops and career development advice, along with industry-specific information, employment opportunities and networking connections.
We also offer a range of online resources for students seeking international opportunities and host workshops for international students wishing to work in the UK after graduation.
E-resources
You will have access to a wealth of excellent career e-resources to help you with initial career ideas all the way through to negotiating a job offer. These include insightful industry guides and company information, access to industry experts and guidance on pay negotiation.
Where graduates go
The highly flexible programme prepares graduates for a range of roles spanning the full AI ecosystem, bringing together technical, legal and social science thinking.
You will be able to pursue roles such as regulation specialist, public policy advisor, responsible AI specialist, competition economist as well as generalist graduate tracks in:
- technology companies developing or deploying AI systems;
- consulting firms advising on AI strategy, governance and risk;
- financial institutions and large organisations integrating AI into operations;
- regulatory authorities, competition agencies and international organisations;
- public policy institutions and think tanks;
- legal and compliance teams specialising in technology regulation.
Admissions and entry requirements
Applications for our MSc AI, Economics & Policy 2027 intake are open.
We take a holistic approach to admissions, considering not only your academic and professional achievements, but also who you are, what motivates you and how you collaborate with those around you.
Recruitment & Admissions team one-to-ones
Meet with a member of our Recruitment & Admissions team in a city near you to:
- discuss our MSc programmes and understand which is best for you;
- learn about the opportunities available for students at ³Ô¹ÏºÚÁÏ;
- get tips on crafting an application that stands out.
Start dates
September 2027
Next application deadline
6 January 2027
75 days remaining
Additional admissions and entry requirements information
Entry requirements
Academic Requirement
You should have a First or Upper Second Class Honours undergraduate degree from a recognised university or the international equivalent in a relevant STEMB discipline, such as:
- quantitative economics
- mathematical finance
- computing
- physics
- engineering
- related disciplines
Prerequisite knowledge requirements
You should have a strong quantitative background. You should also have taken university modules covering linear algebra, calculus (including multivariate calculus), probability theory and statistics. In addition, you should have taken at least one programming module, as well as applying this programming in a project or other coursework.
Quantitative Experience Statement
You should use the 'Quantitative Experience Statement' on the application form to outline your quantitative and technical preparation for the programme. This should include the most advanced quantitative courses you have taken in your academic career to date, with brief examples of relevant topics covered.
If you have gained further quantitative or technical experience through work experience, internships or applied projects, please also describe this in the Quantitative Experience Statement.
Please use the 'Programming Languages Statement' to give your proficiency in different programming languages and examples of what you’ve used them for.
English language requirement
All home, EU and overseas applicants must demonstrate English language proficiency. Students who were not awarded their degree in a qualifying English-speaking country must demonstrate their proficiency by completing an approved English language qualification at the required level. Minimum test requirements for the most popular tests are:
IELTS (academic): A minimum score of 7.0 with minimum scores of 6.5 in all elements.
TOEFL iBT:
- Tests taken before 21 January 2026: A minimum score of 100 overall with minimum scores of 22 in all elements.
- Tests taken after 21 January 2026: We accept an overall score of 5.0 with minimum scores of 5.0 in all elements.
We will accept both scores for a period of two years.
Duolingo English Test: 125 overall with no less than 115 in any band score.
Internships and work experience
Work experience is not a requirement, although undertaking relevant internships, work placements, or applied projects and listing them in the ‘Industrial/Professional Experience’ section of your application form can add weight to your application.
The programme is suitable for recent graduates as well as early-career professionals. Candidates seeking either to progress in their current roles or move into new careers at the intersection of AI, economics, law and policy are encouraged to apply.
GMAT or GRE
GMAT or GRE are not required for MSc AI, Economics & Policy but can add weight to your application, especially for candidates with less quantitative degree backgrounds.
References
You will need to share the contact details of two academic referees or one academic and one professional referee.
Please note we cannot accept references sent from personal or free email addresses, such as Gmail, Hotmail, Yahoo etc.
Essays
Essays are a vital part of your application. They should demonstrate your interest in the intersection of AI, economics, regulation and governance, your career plans after graduation and your motivation for studying at ³Ô¹ÏºÚÁÏ Business School. We will also look for evidence that you can communicate complex ideas clearly and show how you would contribute to our community.
You should be able to explain your interest in areas such as AI governance, responsible AI, technology policy, digital markets, regulation, compliance or consulting, and how the programme will support your career ambitions.
What we look for
If you have a strong quantitative background with knowledge of linear algebra, calculus, probability, statistics and coding, as well as good communication and problem-solving skills, then MSc AI, Economics & Policy is an excellent fit for you.
We are looking for well-rounded candidates from a range of academic backgrounds, including STEM, quantitative economics, mathematical finance, quantitative psychology, with an interest in the intersection of AI, economics, law and policy.
We will look for evidence in your application and personal statement that you can engage with complex technical and regulatory issues and articulate your ideas in a clear and straightforward manner. The core module 'Foundations in AI, Economics and Law' will bring students up to speed across economics, computing, and legal principles.
This on-campus, full-time programme is best suited to recent graduates and early-career professionals wanting either to progress in their current roles or move into new careers in areas such as AI governance, technology policy, regulation, compliance and consulting.
Application process
We have provided a step-by-step walkthrough on how to apply for the MSc AI, Economics & Policy programme, with comprehensive instructions to ensure you complete your application successfully and meet all the essential admissions requirements.
Step one: start your application online
Visit the application portal and create an account by completing your personal details. Our online application form gives you the flexibility to save your progress and complete your application in your own time.
Step two: submit your supporting documents
You will need the following:
- current CV (view for guidance);
- personal statement questions (see blog for tips on how to write a personal statement);
- complete degree transcripts with English translation if necessary (view international entry requirements);
- contact details of two academic referees or one academic and one professional referee including their company/business email address. We recommend that one should be your current line manager or academic supervisor;
- career planning questions, a quantitative experience statement and programming/computer software experience (if applicable);
- English language scores if required (i.e. TOEFL, IELTS etc.);
- GMAT/GRE is not a mandatory requirement, however, it can enhance the strength of your application.
Step three: complete your application
Once you have submitted your supporting documents you can complete your application with the £125 application processing fee. Once your application has been submitted your referees will receive a notification to provide your reference.
The Business School has a zero-tolerance policy to fraudulent applications, and we will report findings to the Home Office.
Step four: interview and admissions decision
- Shortlisted candidates will be invited to complete an interview using our online video platform. This is the best opportunity for you to demonstrate your passion and drive, and why you want to study a Master’s at ³Ô¹ÏºÚÁÏ.
- AI guidance: The purpose of the interview is to get to know more about you. We want to see how you approach problems, your motivations and wider interests. If we identify malpractice or answers provided are not genuine then this may factor negatively in the admissions committee decision. Read our blog for more advice on how you can use AI responsibly in your application.
- Application decisions will be communicated by the corresponding decision date for the round in which you applied. Please refer to our key dates and deadlines for more information on timeframes.
- All students will undergo a Qualification Check to ensure they meet the necessary requirements.
Step five: submit outstanding documents and pay your deposit
After receiving your offer, you will need to submit documents to satisfy your offer conditions. As part of this process, you must verify your degree award through the online Qualification Check service, using a unique link provided in your offer conditions. You can view the conditions of your offer and respond using the application portal.
You will then be required to pay a deposit for the programme.
Key dates and deadlines
Applications for our MSc AI, Economics & Policy 2027 intake are open.
We operate a staged admissions process with several deadlines throughout the year. This programme is highly competitive, so early application is advised; this will put you in a stronger position to be considered for a scholarship, and provide access to exclusive admitted students events.
You should submit your application by 23.59 UK time on the day of the application deadline.
Deadlines for September 2027 entry
Admissions round 1 for September 2027 entry Closed
| Application submission | 29 September 2026 | Closed |
|---|---|---|
| Application decision | 25 November 2026 |
Admissions round 2 for September 2027 entry Open
| Application submission | 6 January 2027 | |
|---|---|---|
| Application decision | 3 March 2027 |
Admissions round 3 for September 2027 entry Open
| Application submission | 10 March 2027 | |
|---|---|---|
| Application decision | 5 May 2027 |
Admissions round 4 for September 2027 entry
| Application submission | 28 April 2027 | |
|---|---|---|
| Application decision | 16 June 2027 |
Admissions and entry requirements FAQs
- Why do I need to complete a Quantitative Experience Statement?
- How do I submit my qualifications to be verified?
- What happens after I submit a request for my qualifications to be verified?
- How many programmes can I be considered for each year?
- When will my referees be asked to provide a reference?
- I’ve received an email confirming that my referees have submitted my references, but this isn’t yet confirmed on my account?
- Will my decision date be affected by a delay in the approval of my references or missing documentation?
- Will I be invited to interview?
- AI guidance:
- When will I receive a decision on my application?
- Why is my offer subject to checks by Central Admissions?
- I’ve been put on a waiting list, when will I receive a final decision?
- My application has been unsuccessful; can I have some feedback?
- Can I defer my place to next year?
- Can you advise me on my eligibility?
- What are the international entry requirements?
- I don't meet the academic entry requirement but I have some work experience, will I be considered?
- Does the Business School offer pre-sessional English?
- I require a visa to study in the UK, when will I receive my CAS?
- What do I need for my visa appointment?
Why do I need to complete a Quantitative Experience Statement?
All of our programmes are academically rigorous and include a quantitative component. Therefore, all candidates are expected to have a basic level of mathematics before the start of the programme. The Quantitative Experience Statement provides an opportunity to demonstrate this to the selection committee.
In the Quantitative Experience Statement, you need to list up to five of the most quantitative modules or elements of your studies to date. You should detail:
- the main topics of study (e.g. algebra, probability etc.);
- the level of study (e.g. high school, undergraduate degree, short course etc.).
This will allow the selection committee to have an understanding of your quantitative experience.
Please check the entry requirements for your programme of interest to ensure your background is sufficiently quantitative. For other programmes, candidates are advised to review the programme content and the pre-study modules. You should check what the numerical content of the programme includes before you apply.
How do I submit my qualifications to be verified?
To submit a verification request, you must first create an online account with Qualification Check. You should use the unique link provided to you as part of your offer conditions.
Once you have completed the two-step registration process, you will have access to your online account. Search for the name of the institution at which you obtained your qualification(s).
Then, follow the steps to enter the required information for submission of a verification request. Your details will then be sent to that institution to be authenticated by the appropriate department. Find out more information at .
What happens after I submit a request for my qualifications to be verified?
Qualification Check’s standard procedure is to contact the primary source of the information. This is the institution at which you studied. Qualification Check will regularly contact the relevant department at the institution to confirm the authenticity of your qualifications.
We understand that applications are urgent and Qualification Check makes every effort to accommodate your needs and expedite processes. Some institutions may take longer than others. But rest assured that Qualification Check is working hard to complete your verification. Find out more information at .
How many programmes can I be considered for each year?
You can apply to be considered for one programme each year. If your application is unsuccessful we will take your areas of interest and eligibility into account when considering you for alternative programmes.
When will my referees be asked to provide a reference?
As part of your application, you will be asked to provide the contact details of two referees. Your referees will be contacted by email once you have completed and submitted your application. The email will contain instructions on how they can submit your reference via our application system.
Please ensure that each reference letter that is submitted has been sent from an academic or professional email address. We cannot accept references sent from personal email addresses, such as Gmail, Hotmail, 126, 163, Sina, QQ or Yahoo.
I’ve received an email confirming that my referees have submitted my references, but this isn’t yet confirmed on my account?
Our electronic application service is provided by an external provider. Therefore, there may be a delay before the receipt of your references is confirmed on your student application account.
If you receive confirmation that your references have been received but this still isn’t confirmed on your account a week after receiving the confirmation, please contact the Recruitment & Admissions team.
Will my decision date be affected by a delay in the approval of my references or missing documentation?
If you submit a complete application by the deadline, you will receive an outcome by the corresponding decision deadline. However, we may be unable to guarantee a decision by the deadline if:
- there are delays in receiving your references;
- the documentation required to progress your application is missing.
If the requested information is not received within five working days, we may be unable to guarantee a decision by the round deadline.
If you have received confirmation that your references have been submitted but this is not reflected in your account after a week, please contact the Recruitment & Admissions team.
Will I be invited to interview?
Yes. As part of the selection process, shortlisted candidates for our MSc programmes will be invited to an interview. Interviews are conducted through our video interview platform. You can access it online to record and submit your answers.
The interview process typically takes about 20 minutes and does not require extensive preparation. It aims to supplement your written application and help you convey your suitability for your chosen Master’s by answering questions about your previous experience and future aspirations.
AI guidance:
The purpose of the interview is to get to know more about you. We want to see how you approach problems, your motivations and wider interests.
If we identify malpractice or that answers provided are not genuine, then this may factor negatively into the admissions committee decision.
We have a blog you can read for more advice on how you can use AI responsibly in your application.
When will I receive a decision on my application?
We operate a staged admissions process with several deadlines throughout the year. If you submit your application within an admissions round you can usually expect a decision by the published decision deadline for that round. For more information please see 'Key dates and deadlines' table.
Please keep in mind that during busy times and/or where documents are missing from an application, this may take longer.
Why is my offer subject to checks by Central Admissions?
When an offer is submitted by the Business School, the Central Admissions team needs to make a number of final checks before it can be formally approved. These may include:
- an additional review of an applicant’s academic background;
- ensuring the references we have received are valid.
Until you have received confirmation of the official offer via ³Ô¹ÏºÚÁÏ’s applicant portal, please do not:
- arrange accommodation;
- book flights;
- decline any other offers you may be holding.
The majority of offers are successfully approved by Central Admissions. You will be able to see full details of your offer conditions once your official offer has been confirmed.
I’ve been put on a waiting list, when will I receive a final decision?
Unfortunately, we are unable to confirm when you will receive a decision on your application. We will be in touch via email as soon as there is an update. You do not need to provide any additional information unless you think it will add significant weight to your application. For example, updated transcripts, relevant internships or English language results.
My application has been unsuccessful; can I have some feedback?
Please email your programme Recruitment & Admissions team if you would like feedback on your application. Please note that whilst limited feedback can be provided, the decision of the academic selectors is final and it will not be possible for your application to be reconsidered.
Can I defer my place to next year?
If you receive an offer you can request to defer it to the following year. Requests will be considered until 23 June 2027.
Requests submitted after 23 June will only be approved in exceptional circumstances.
Please note deferrals are considered on a case-by-case basis and in order to be considered for a deferral you will need to pay the tuition fees deposit.
If you already paid your deposit for the current admissions cycle, this will be carried over to your new offer. However, our tuition fees do increase each year and you will be required to make up the difference between the old deposit and the new deposit amount.
Please note that you can only defer once.
Can you advise me on my eligibility?
We are unable to assess your eligibility before you apply. The academic selection committee needs to review a full application before any decision can be made.
Please check the specific entry requirements of the programme you are interested in studying. Please also check our international entry requirements. If you feel you meet our entry requirements you can apply online.
In addition to the guidance on our website, we hold regular information sessions online and on campus throughout the year. Here, we would be happy to discuss your suitability in more detail.
What are the international entry requirements?
We accept a wide range of international qualifications for postgraduate study at ³Ô¹ÏºÚÁÏ.
We've provided general guidance in the country and region index so you can understand how qualifications awarded by public institutions overseas may satisfy our minimum academic admission requirements.
We review our requirements annually. Updates usually happen in September each year before the next academic year of entry.
If your country or region is not listed, please contact the relevant Admissions team for further information.
I don't meet the academic entry requirement but I have some work experience, will I be considered?
Most MSc programmes require at least an Upper Second Class Honours degree (or international equivalent). Work experience can add weight to an application. However, this would not replace the academic requirement, no matter how extensive the experience is. The exceptions to this are:
Please refer to the programme’s entry requirements for more detailed information.
Does the Business School offer pre-sessional English?
The Business School does not offer pre-sessional English courses. We do not accept attendance of a pre-sessional English course as a means of meeting the English language requirement.
I require a visa to study in the UK, when will I receive my CAS?
We will start to issue CAS numbers from April. The details of your CAS will appear on your My ³Ô¹ÏºÚÁÏ record after you have met all the conditions of your offer. Please note that you will need to upload a scanned copy of the photo page of your passport and current visa (if you have recently completed a degree in the UK), before your CAS can be issued. Please upload these documents to the ‘Passport/visa’ section of your My ³Ô¹ÏºÚÁÏ account.
Once your CAS is ready, you will receive an email confirming that it has been uploaded onto your My ³Ô¹ÏºÚÁÏ account. If you log into My ³Ô¹ÏºÚÁÏ you will be able to find your CAS number and the details that have been included in your CAS.
Please note that we cannot provide you with a CAS if you have outstanding conditions on your offer. Please ensure that you allow enough time to meet your conditions and apply for a visa before the start date of your programme of study.
What do I need for my visa appointment?
Your CAS number holds information about the programme you will study and if you have paid any fees. You will not need a formal letter from ³Ô¹ÏºÚÁÏ confirming your offer status for your visa appointment.
For more information about what you will need, see the .
If you need any advice about your visa please contact the International Student Support team. Most information can be found on the International Student Support website.
Fees and funding
Invest in yourself
Choosing to pursue a Master's programme is an important decision and a substantial investment in yourself.
Many of our students fund their studies through multiple funding sources. We offer a wide range of awards, including a number of scholarships to the most talented applicants. We have also provided information about the different financing options available to you.
*The non-refundable confirmation deposit counts towards the cost of the programme.
At a glance
£30,600
Home fee
£51,000
International fee
*£7,000
Deposit
Additional fees and funding information
Scholarships
³Ô¹ÏºÚÁÏ Business School is pleased to offer significant scholarship funding to our most talented applicants. A range of scholarships are available, including several dedicated schemes for specific programmes, and it is recommended that you apply early to give yourself the best chance of receiving an award.
Please be aware that scholarships may not be awarded following every round (e.g. if scholarships in a particular category have all been awarded or there is an insufficient number of eligible candidates in a given round).
Scholarships terms and conditions
If you are offered an ³Ô¹ÏºÚÁÏ Business School scholarship and are subsequently offered a larger award by us, the larger one would supersede the first award and would not be in addition to it. Scholarships awarded by ³Ô¹ÏºÚÁÏ Business School are in the form of a reduction of the tuition fee. Therefore, if you receive another scholarship that pays the full tuition fee directly to ³Ô¹ÏºÚÁÏ, you cannot also receive a scholarship from the Business School.
Nothing on this website is or shall be deemed to constitute, financial advice or a recommendation or endorsement in respect of any financial product. You should always check the suitability of the product that is of interest to you. If you are in any doubt as to its suitability, we suggest that you seek independent professional advice. Apart from certain circumstances, deposits are not refundable if you fail to take up your place in the programme. You can find out if you qualify for a refund and the process for requesting a refund on ³Ô¹ÏºÚÁÏ’s postgraduate deposit information page.
Financing your Master's
Many of the students on our Master's programmes fund their studies through multiple funding sources, combining personal resources with education loans and scholarships.
Please note that we do not act as a credit broker to any of the loan providers listed below and are not responsible for providing the loan or assessing your eligibility. Further details of eligibility requirements, interest rates and other key terms of the loan are available by visiting their respective websites.
Professional and Career Development Loan
A Professional and Career Development Loan is a government-backed commercial bank loan that UK residents can use to help pay for work-related learning.
³Ô¹ÏºÚÁÏ is a Professional and Career Development Loans registered Learning Provider, registration number 7477. For more information and to find out which banks offer the loan, see the .
Postgraduate Master’s Loan
If you are a UK or EU student who meets certain criteria, you can apply for the from the UK government. See the for more information.
Lendwise
is a specialist loan provider dedicated to education finance for ambitious students looking to fund their postgraduate studies at top universities. All nationalities are eligible to apply and applications are assessed on a case-by-case basis.
Other merit or needs-based scholarships
In addition to the postgraduate scholarships on offer from ³Ô¹ÏºÚÁÏ, you can explore other non-³Ô¹ÏºÚÁÏ scholarships. For example, offers scholarships for international students.
You can find further details of non-³Ô¹ÏºÚÁÏ scholarships here.
Self or family funding
You should consider what personal resources are available to you and evaluate your income, assets and your lifestyle expenses. Personal resources reduce your dependency on loans and other financing options.
Further funding options
Other sources of funding may be found in publications such as The Grants Register (published by Macmillan), Awards for postgraduate study at Commonwealth Universities (Association of Commonwealth Universities) and Study Abroad (UNESCO), as well as on the ³Ô¹ÏºÚÁÏ website.
For UK residents, for further information on financial assistance to support your learning, please visit or contact 0800 100 900.
Paying your fees
Full information on how to pay your fees will be communicated after you have accepted your offer. To secure your place, a £7,000 deposit is required. This is part of the full tuition fee and not an additional cost.
Fees do not cover:
- accommodation and expenses
- costs incurred as part of optional internships or exchanges
- supplementary texts and study materials
- Careers Club membership (£10 per club for the year)
Receiving your invoice
You will receive an email invoice from the Tuition Fees team within five days of accepting your offer and will need to pay the deposit within 30 days of receiving this invoice. Failure to pay this in time may result in your offer being withdrawn.
Making your payment
You can pay your tuition fees in one instalment in August or, if you are self-funding, in two instalments in August and February.
Applicable scholarships
Fees and funding FAQs
- Can I pay my tuition fees in instalments?
- What Scholarships am I eligible to apply for and where can I find out further information about these?
- I have previously studied at ³Ô¹ÏºÚÁÏ. Am I eligible for an Alumni discount on the tuition fee cost?
- I’m being sponsored - what documents do I need to provide?
Can I pay my tuition fees in instalments?
If you are self-funding you have the option to pay your tuition fees in either one or two instalments. These are payable at the start of your programme in August, or in August and February, respectively. If you pay in instalments there will be a 2% surcharge of the total amount added to your first instalment.
You will be asked to select a payment schedule during the offer acceptance process. Please contact the Student Finance team if you have further questions about this process.
What Scholarships am I eligible to apply for and where can I find out further information about these?
The Business School offers a variety of different scholarships, each with unique eligibility criteria.
All candidates who submit an MSc application and receive an offer for one of our programmes will automatically be considered for scholarship(s) relevant to their programme, providing the award does not have additional criteria, such as a written assessment. You can be considered for multiple scholarships at the same time though if you are successful in more than one scholarship you will be awarded the highest.
I have previously studied at ³Ô¹ÏºÚÁÏ. Am I eligible for an Alumni discount on the tuition fee cost?
Yes, we offer a 10% scholarship on programme fees to successful candidates with either:
- an undergraduate degree from ³Ô¹ÏºÚÁÏ awarded at a minimum of upper second class;
- a Master’s degree awarded at a minimum of Merit.
This award will be automatically applied to applicants who receive an offer of admission to an MSc programme.
I’m being sponsored - what documents do I need to provide?
If an organisation is responsible for paying your tuition fees, you must provide valid proof of the sponsorship.
Satisfactory evidence of sponsorship is usually regarded as an original, dated and authorised letter from your sponsor on headed paper, including:
- your name and College Identifier Number
- the programme for which you have been offered a place
- the amount of fees which will be paid by your sponsor (please report in GBP)
- the address to which the invoice should be sent
- any Purchase Order number required
- confirmation that the fees will be sent directly to ³Ô¹ÏºÚÁÏ
Sponsorship letters should be emailed to the Central Admissions team at business.admissions@imperial.ac.uk
Meet your faculty
Meet your faculty
Business School
Professor of Economics
Department of Computing
Dr Robert A Craven
Director of Postgraduate Studies (DPGS)
Take your next step
Student blogs
View all blogs
Meet the Specialised Masters’ Class of 2026
Discover the talented individuals shaping the future of business, technology, health and innovation at ³Ô¹ÏºÚÁÏ Business School.
Meet the Specialised Masters' class of 2024-25
We're excited to welcome another outstanding cohort of Specialised Master’s students to ³Ô¹ÏºÚÁÏ Business School. We’ll introduce you to these talented individuals, sharing their diverse backgrounds.
Meet the Specialised Masters' class of 2023-24
In September we welcomed five new Specialised Masters’ cohorts to ³Ô¹ÏºÚÁÏ Business School, eager to start their journey towards expert-level knowledge and a successful career in the sector of their c