university of edinburgh phd artificial intelligence

The Artificial Intelligence Applications Institute was created by the University of Edinburgh in 1983 to work alongside its academic Department of Artificial Intelligence to encourage the development and take-up of artificial intelligence methods. Over the years it has created many with a wide range of clients, government agencies and collaborators. In 2001 it became part of the Centre for Intelligent Systems and their Applications (CISA) within the School of Informatics at the University of Edinburgh continuing to lead its AI applications-orientated work. On 1st December 2019, the name of the Centre was changed to the Artificial Intelligence and its Applications Institute (AIAI) to reflect both the continuing research and applications aspects of the work.

AIAI continues to make available the resources and educational materials from its previous work. Applied AI work continues to be performed by staff, students and collaborators across the School of Informatics. A number of other departments and schools at the University of Edinburgh as well as other research institutes in the School of Informatics work on a range of topics within the field of Artificial Intelligence.

The at the offers a wide range of and degrees in Artificial Intelligence, Cognitive Science, Computational Linguistics, Computer Science, Software Engineering and Robotics.

Data and Artificial Intelligence Ethics

Gain the interdisciplinary skills and knowledge of ethical design, use and governance of artificial intelligence and other data-intensive technologies in order to navigate complex systems and roles with transparency, fairness, and respect for individual and human rights, and social needs.

What you will study

Career & Employability

Your Experience

Fees & Scholarships

Entry requirements

Navigate complex new technical systems and roles with transparency, accountability, fairness, justice, and respect for human rights.

This new programme meets the urgent demand for interdisciplinary skills and knowledge in the ethical design, use, and governance of artificial intelligence and other data-intensive technologies.

Today, many organisations and sectors that work with artificial intelligence (AI) and data-intensive applications are missing the expertise needed to answer society’s demands for responsible technology use, which increasingly goes beyond mere legal compliance.

Graduates of this programme will help their future employers to navigate complex new systems and roles in ways aligned with genuine human and social needs.

“Our interdisciplinary degree draws from the University’s world-leading expertise in the ethics of data and AI. It leverages the research power of the Futures Institute’s  Centre for Technomoral Futures , which promotes sustainable, just and responsible technology and meets the growing demand for ethical skills in the AI and data workforce.” Professor Shannon Vallor, Programme Director MSc Data and AI ethics, and Director of the Centre for Technomoral Futures

This programme is part of our interconnected postgraduate study options focused on complex global and social challenges.

You will be taught by academic experts from different subject areas. You will develop creative, critical, and data-informed thinking that cuts across traditional disciplinary boundaries. You will have the space to think deeply about questions linked to your own passions and professional goals, and to develop a project based on an issue that you care about.

This degree will enable you to:

• Build complex and collaborative skills to become knowledgeable in responsible and ethical data and AI development, use and governance.
• Develop an understanding of the ethical, legal, policy and design values, and principles for responsible use of data.
• Learn how ethics intersects with other forms of technology governance such as law, policy, design, and professional standards; and how it relates to broader political and cultural power and influence.
• Gain practical experience working and communicating about AI and data ethics with other stakeholders and practitioners across sectors, disciplines and publics.

This programme includes core courses on the essential, critical, and hands-on data skills, enquiry methods, ethical, and creative capacities needed to underpin your study. It includes a wide portfolio of optional courses taught by academic staff from different discipline areas, and the opportunity to apply your learning in depth to an issue or concern which drives you for your final project.

As well as knowledge specific to your area of study, our core courses give you the skills and understanding you need to become a creative, confident, and critical citizen in an unpredictable world, including:

• data skills
• understanding of data ethics
• an ability to interrogate issues of global scope
• creative and analytic approaches that are vital for building better futures and succeeding in rapidly changing environments

An interdisciplinary programme can help your career and future employability.

The challenges of the modern world and our rapidly changing environment demand new ways of working that can disrupt the status quo and challenge established ways of thinking.

Edinburgh Futures Institute is part of a large, diverse, global community that includes more than 44,000 students studying in more than 150 academic disciplines. Here you will work at the highest academic level alongside some of the most influential people in your field. And you will be able to do it both online and on campus.

In addition to outstanding facilities, high quality teaching, and unique links to industry and innovation, University of Edinburgh graduates are ranked 25th in the world by employers, *  making Edinburgh an excellent choice for a postgraduate education with prospects.

* QS World University Rankings 2022

Our distinctive postgraduate programmes and interdisciplinary approach benefit graduates in a number of ways that support future employability and development.

This includes developing core data skills, the knowledge and ability to apply ethics to data use and decisions, how to interrogate issues of global scope, and the creative and analytic approaches that are vital to approach challenges in new, robust, and data-informed ways.

Recent graduates will be well placed to enter the job market as ‘translators’ between data scientists and people operating at strategic or operational levels – potential roles include private, public, and third sector project and programme managers, policy advisers, analysts, and consultants.

For students with prior professional experience, the programme will support career development (and transition) as leaders in new or existing sectors with a strong data and/or inclusion aspect.

The core elements of the programme address the data and higher-order skills we know are important for the future of work, confident and critical citizenship, and a thriving, just society.

We have lots of exiting opportunities to connect our diverse and talented students with a range of professional and sector specific experience.

In your final project, you will be able to apply your learning in depth to a domain, issue or concern which drives you. It could be:

• based on your own personal or professional interests
• defined by your employer
• proposed by one of our EFI industry, third-sector or community partners
• aligned to one of the EFI research programmes

Here at the Edinburgh Futures Institute you will be part of a dynamic and diverse community, whether you choose to study on campus or online.

Our unique fusion teaching approach means you are able to study with an on campus and online cohort – benefiting from diverse and global groups of peers, in fully supported digital learning environments and in our beautiful, historic and central Edinburgh campus .

Whether you study on campus or online, you will benefit from being a student at a global institution, recognised for our world-leading research, development and innovation, and 425 years of excellent teaching.

You will have access to a wide range of University study support services, such as the University’s extensive library collections, world class laboratories, museums and galleries, impressive sports facilities, and a huge choice of student societies and activities.

The Student Careers Service, Student Counselling Service ,and University Health Centre are available and free to students, while our Student Disability Service provides a range of support for students with disabilities. We also offer excellent childcare services, making it easier to juggle parenthood and study.  

We are committed to being a world leader in addressing global challenges including poverty, climate change, and the growing demand for energy, food, and water.

As Scotland’s first Fairtrade University, we have been promoting better conditions for farmers and communities in developing countries since 2004.

We have championed environmental sustainability since the early 1990s, and were a founder signatory to the Universities and Colleges Climate Commitment 2009 and to the 10:10 campaign.

The University is host to several Global Academies committed to tackling issues related to health, justice, environment, and agriculture and food security. The Academies cross boundaries in research and teaching, adopting a multi-disciplinary response to challenging global issues.

Edinburgh Futures Institute offers a rich array of events, including the global  Edinburgh Futures Conversations series   which is aimed at promoting global cooperation in solving the critical challenges facing the world and brings together global influencers, academic experts, policymakers, writers, activists and artists, including alumni and students.

We also have dynamic seasonal programmes of public events, mostly delivered in hybrid format, which are free and open to all. Our Autumn 2022 season,  First Breath , is  available to watch online . The Futures Institute’s Spring 2023 Season – Love Machine , which focused on the interconnections between artificial intelligence and being human is also available to watch online . Sign up to our mailing list  if you would like to receive event information.

We offer a unique experience to our graduate students, including the opportunity to work with leading academics and diverse communities and partners in an ambitious, creative, “what-if” environment that will let you explore your passions.

The events and activities that are part of your programme are available both online and on campus, starting with welcome activities that include a mixture of introductory events and social activities.

Details of our tuition fees, as well as the scholarships and funding available to help you pursue your ambitions.

Since online and on campus students study together, and we want to provide flexibility to move from on campus to online study, you will pay the same rate whether you choose to study online or on campus.

Students studying on a part-time basis will pay pro rata over multiple years. It is possible that the University will apply an inflationary increase in future years.

Find more information about tuition fee rates, along with information about how to pay your tuition fees and how we determine your fee status here:

Scholarship opportunities

For further information about scholarship opportunities and funding your postgraduate study, please visit the University of Edinburgh’s Scholarships and Student Funding Service.

A UK 2:1 honours degree, or its international equivalent, in any discipline.

We will also consider your application if you have other professional qualifications or experience; please contact us to check before you apply. In particular, we welcome applications from professionals with experience (e.g. working in companies, government, or third sector organisations) designing or implementing projects, programmes, or policies that aim to diminish inequalities.

These entry requirements are for the 2023/24 academic year and requirements for future academic years may differ. Entry requirements for the 2024/25 academic year will be published on 2 October 2023.

What to expect at Edinburgh Futures Institute

Our approach, interdisciplinary, challenge-led, data-driven, co-creative, entrepreneurship, flexible study.

Flexible study options, fusion learning, interdisciplinary teaching, and a focus on complex global and social challenges.

You will have the space to think deeply about issues linked to your own passions and professional goals.

Our programmes are an interconnected portfolio of postgraduate study offering a shared core and unique fusion learning. Our focus is on interdisciplinary teaching and research that addresses complex global and social challenges. You will be taught by academic experts from different subject areas. And you will develop creative, critical and data-informed thinking that cuts across traditional disciplinary boundaries.

We use an approach called ‘fusion teaching’ so you have greater choice about when you study on-campus, and when you study online.

If you are considering full-time online study, please note that all courses require significant synchronous engagement in the classroom. Get in touch with us with questions before applying.

Interdisciplinary means the ability to synthesise and apply knowledge and skills from across different disciplines.

It is crucial to addressing complex challenges and planetary-scale issues. It is also increasingly important to employers and future career development and supports the modern skills needed by today’s graduates.

We offer fundamentally interdisciplinary study and draw on diverse disciplines to support you to work creatively and ethically with all kinds of data. Each postgraduate programme develops interdisciplinary perspectives in the ways most appropriate to its specific focus and offers you the flexibility to design your own disciplinary pathway through your studies, and through your project-related work.

We are creating innovative ways of bringing together disciplinary expertise in response to complex problems.

Studying in a challenge-led environment means you will learn to scope, explore, understand, and work on complex, multi-stakeholder challenges for the benefit of society.

Developing insights from across disciplines and applying them to complex challenges (organisational, cultural, societal or environmental) are fundamental to your studies at the Edinburgh Futures Institute. In your final project, you will be able to apply your learning in depth to a domain, issue or concern that you care about.

For most programmes you can choose to define your own project, bring a project your employer would like you to address, work on a project set by one of our external partners or align your project to one of our research programmes. You will have support to choose and develop your final project.

Data shapes our world and increasingly underpins our lives, work and learning.

Understanding how to use data ethically, innovatively and collaboratively is essential for citizens, professionals, businesses and governments. It is also critical for employers and professionals across different sectors.

All our MSc programmes include core data skills which will help you to learn data-led decision making, data innovation and collaboration, and the fundamentals of data ethics. While supporting you to use your creative skills in the analysis and representation of data-informed and qualitative inquiry.

We’re working with organisations and professionals, from sectors like fintech , creative industries , public services and tourism to tackle challenges, improve products and services, and develop new ones through better use and understanding of data.

Ethical data and advanced data skills

Data and AI Ethics is a central and cross-cutting theme at Edinburgh Futures Institute, this is underpinned by the work of the Centre for Techomoral Futures (CTMF) .

In addition to the core data skills developed through our programmes, postgraduate students also have the opportunity to explore advanced digital methods with training from the Centre for Data, Culture and Society (CDCS) .

Fully embedded in our approach to teaching and learning is the art and practice of co-creation.

The outcomes of a co-creative culture are wide and varied and support trust-building, access to talent, networking, personal development and growth, and sharing ideas.

Our postgraduate programmes encourage students to exchange and explore how knowledge from multiple perspectives (civic, technical, corporate and social) can tackle the significant challenges that society faces in the present, and near futures. Our learning environment supports the flow of ideas and inspiration between learners, researchers, peers, industries and businesses and organisations.

“Connection, co-design, communities – this is a space where academics from diverse fields such as law, data science and art can unite with students, communities, charities, companies and policymakers to co-create solutions to shared problems in ways they otherwise couldn’t.” Professor Chris Speed, Director of Edinburgh Futures Institute, Chair of Design Informatics 

Develop sought-after entrepreneurial and innovation skills and be supported to pursue new, creative ideas and take risks. 

From design thinking to new approaches to social innovation, we recognise that entrepreneurs come in all shapes and sizes.

With a range of support from across the University of Edinburgh, and a dynamic community of partners within the Futures Institute, we are creating collaborative environments to pursue new endeavours.

The University of Edinburgh’s enterprise service for students and recent graduates (two years post-graduation) can help you startup, sustain and develop your entrepreneurial journey for any business, social enterprise or freelance endeavour.  

Learn new skills, join the thriving enterprise community, attend events and workshops, enter a competition or programme and receive one-on-one support. The service is free and you own 100% of your IP.

Most of our programmes offer a lot of flexibility in how you choose to study.

You can study on a full-time basis over one year, or part-time over two or three years.

You can register for a full MSc, or for a Postgraduate Diploma or Postgraduate Certificate. You can study our programmes either online or on-campus, or combine on-campus with online study (though please note that the MSc Creative Industries programme is full-time and on-campus only so it can benefit from Edinburgh’s strong cultural organisations).

There’s a lot to consider when selecting postgraduate study options. Here are some commonly asked questions. If you have others and would like to discuss please get in touch.

Yes you can. Options courses are open to students across programmes and outside of particular subject areas. However, this is always subject to availability and enrolment requirements and particular programmes will have precedence for some options courses related to their programme.

You can take a course offered by a different school but you must have approval from the Course Organiser of the course you wish to study before this can be confirmed. Certain courses may have pre-requisite requirements so you must also ensure that you have the appropriate level of knowledge to enrol. Edinburgh Futures Institute does not have authority over courses in other schools or areas of the University, so we cannot guarantee availability on outside courses.

The weekly time commitment for students depends on several factors, including your programme, course choices, and mode of study.

For guidance, we expect full-time students to study for approximately 35 hours per week, and part part-time (2 year) students to study for approximately 12-15 hours per week. For students studying the part-time (3 year) programmes, the weekly time commitment will vary depending on their own preferences or circumstances.

Edinburgh Futures Institute’s taught courses are all 10 SCQF credits, and each course involves a minimum of 14 hours of synchronous engagement (where students work together at the same time). A full-time student will study six 10-credit courses per semester. A part-time (2 year) student will study approximately three to four 10-credits courses per semester.

Yes, lectures or presentations given during the intensive sessions are recorded and made available after the session. Group work and group discussions are not recorded.

No, a background in coding is not necessary to study at Edinburgh Futures Institute. All fundamental coding skills that might be needed for a course will be taught to students. However, an awareness of different systems or skills may be beneficial.

Throughout your studies at Edinburgh Futures Institute, you will have several sources of academic and personal support. Your Programme Director is a key person who offers academic guidance to on your arrival, and each programme also has a dedicated Cohort Lead who is responsible for building community among students.

Additionally, students are assigned a Student Adviser. Your Student Adviser provides a range of support, including general course guidance, signposting University policies or services, advice on wellbeing matters, or tailored support for students with additional needs.

For students who plan to complete the Knowledge Integration and Project Planning and the Futures Project courses (the project), you are also assigned an academic staff member who supervises your work and provides guidance on your final project.

We contact students regarding course selection at the end of August and personalised timetables are available when teaching starts. We aim to provide you with timetabling information before you make your course choices, so you can make informed decisions and avoid potential clashes.

Edinburgh Future’s Institute is founded on interdisciplinarity so there is a significant amount of group work within our courses. We encourage interdisciplinary thinking and working by enabling students enrolled on different programmes to come together in groups and share ideas. Course assessments also reflect this and many courses include both individual and group assessment tasks.

Fusion learning and teaching involves a mix of synchronous sessions (where all students work together at the same time), and asynchronous activities (where students work at their own pace). During synchronous sessions, students on the Edinburgh campus work with online students who join the session via Microsoft Teams. You can find out more about fusion learning or take a 360-degree tour of a Fusion classroom .

How to apply

There are lots of things to consider when choosing an postgraduate degree – from your own interests and passions, to the requirements for acceptance, to where you will study. An interdisciplinary degree offers opportunities to study across different subjects and add depth to your education.

Open Days, tours and virtual visits

Our open day sessions will provide you a great opportunity to learn a bit more about the Edinburgh Futures Institute, and to take a deep-dive into each of our interdisciplinary MSc programmes, presented by those who will teach you.

Proposed new programme

We would like to hear your views on a potential new postgraduate opportunity in Applied Ethics.

Discover more at Edinburgh Futures Institute

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PhD Studentships in Computational Linguistics, Speech Technology and Cognitive Science

The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2024. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition.

Primary research areas

Primary research areas include:

• Natural language processing and computational linguistics
• Machine Translation
• Speech technology
• Dialogue, multimodal interaction, language and vision
• Computational Cognitive Science , including language and speech, decision-making, learning and generalization
• Social Media and Computational Social Science
• Human-Computer interaction, design informatics, assistive and  educational technology
• Information retrieval and visualization

Approximately 10 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 19,162 (2024/25 rates) per year and tuition fees. Awards increase every year, typically with inflation.  Studentships are available for UK, EU, and non-EU nationals. 

Requirements

Applicants should have a strong undergradudate degree or equivalent in computer science, cognitive science, AI, or a related discipline.

For a list of academic staff at ILCC with research areas, and for a list of indicative PhD topics, please consult:

http://web.inf.ed.ac.uk/ilcc/people/academic-senior-research-staff

http://web.inf.ed.ac.uk/ilcc/study-with-us/possible-phd-topics-ilcc

How to apply

Details regarding the PhD programme and the application procedure can be found at:

https://www.ed.ac.uk/informatics/postgraduate/research-degrees/phd

There are TWO DEADLINES for applications to receive full consideration:

round 1: 24th November 2023

round 2: 26th January 2024

The link to the application portal is:

https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&edition=2024&id=491 

We strongly recommend that non-UK applicants submit their applications in round 1, to maximise their chances of  funding. Please direct inquiries to the PhD admissions team via the link below.    

Contact the PhD admissions team

Alternatively, use our A–Z index

Attend an open day

Discover more about postgraduate research

PhD Artificial Intelligence / Programme details

Year of entry: 2025

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Programme description

The Centre for Doctoral Training (CDT) in AI for Decision Making in Complex Systems is a 4-year programme that will educate the next generation of AI researchers to develop and deploy new machine learning models that can efficiently cope with uncertainty in complex systems. Bringing together researchers in machine learning from the universities of Manchester and Cambridge, the CDT will be grounded in the research areas of physics and astronomy, engineering, biology, and material science, as well as a cross-cutting theme of using AI to increase business productivity, ultimately applying the research to real-world scenarios.

For more information, please visit the CDT in AI for Decision Making in Complex Systems website .

Special features

Please note: We are only accepting applications for PhD in Artificial Intelligence through the Centre for Doctoral Training (CDT) in AI for Decision Making in Complex Systems.

The Centre for Doctoral Training (CDT) in AI for Decision Making in Complex Systems is a 4-year programme that will educate the next generation of AI researchers to develop and deploy new machine learning models that can efficiently cope with uncertainty in complex systems.

Bringing together researchers in machine learning from the universities of Manchester and Cambridge, the CDT will be grounded in the research areas of physics and astronomy, engineering, biology, and material science, as well as a cross-cutting theme of using AI to increase business productivity, ultimately applying the research to real-world scenarios.

For more information, visit the CDT in AI for Decision Making in Complex Systems website .

Scholarships and bursaries

For more information about funding, please visit the CDT in AI for Decision Making in Complex Systems website .

Disability support

We have 1 University of Edinburgh Artificial Intelligence PhD Projects, Programmes & Scholarships

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University of Edinburgh Artificial Intelligence PhD Projects, Programmes & Scholarships

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Edinburgh. Extraordinary futures await.

EPSRC CDT in Machine Learning Systems

Funded phd programme (european/uk students only).

Some or all of the PhD opportunities in this programme have funding attached. It is available to citizens of a number of European countries (including the UK). In most cases this will include all EU nationals. However full funding may not be available to all applicants and you should read the full programme details for further information.

EPSRC Centre for Doctoral Training

EPSRC Centres for Doctoral Training conduct research and training in priority areas funded by the UK Engineering and Physical Sciences Research Council. Potential PhD topics are usually defined in advance. Students may receive additional training and development opportunities as part of their programme.

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PhD in Human-Inspired Artificial Intelligence

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This exciting PhD in Human-Inspired Artificial Intelligence will train the next generation of AI researchers, technologists, and leaders in the development of human-centred, human-compatible, responsible and socially and globally beneficial AI technologies. The course offers research training in areas such as fundamental human-level AI, social and interactive AI, cognitive AI, creative AI, health and global AI, and responsible AI. Students will be educated in an interdisciplinary environment where they can get access to expertise not only in the technical but also human, ethical, applied and industrial aspects of AI.

This programme is distinct from other PhD programmes in that it takes a strongly interdisciplinary and cross-disciplinary approach to technical AI. It will be based at the Centre for Human-Inspired Artificial Intelligence (CHIA) within the Institute for Technology and Humanity (ITH) where PhD students will have access to both a large community of scholars and students tackling similar questions and to the active research events programme that constitutes a key part of CHIA’s work. The course addresses the broader need for experts equipped to develop more responsible and human-centred AI as academia, industry, government and non-profit sectors increasingly recruit AI specialists and is a logical next step for students moving through AI-related master’s programmes and wishing to specialise in human-inspired AI. The interdisciplinary nature of human-inspired AI means that the programme will involve working closely also with other units of the University, including co-supervision arrangements, access to research seminars, and access to facilities.

The PhD in Human-Inspired AI aims to equip students with the skills and knowledge to contribute critically and constructively to research in human-inspired AI. It introduces students from diverse backgrounds to research skills and specialist knowledge from a range of academic disciplines and provides them with the opportunity to carry out focused research under close supervision by domain experts at the University.

The programme will train the next generation of researchers and leaders in AI by

• providing them with educational infrastructure and interdisciplinary research environment and world-leading training in human-inspired AI,
• providing them with the critical tools to engage with the forefront of academic knowledge, methods and applications in this area,
• developing the advanced skills and abilities to identify, approach and address practical interdisciplinary research challenges,
• supporting students to develop a broad and deep understanding of the technical, ethical, applied and human aspects of AI, 
• developing the ability and initiative to identify, address and approach relevant and complex challenges across sectors and society.

The course will benefit  

• students wanting to engage with human-inspired AI by enabling them to hone critical, methodological and technical skills, develop new approaches and test them out, and specialise,
• students locating themselves in other home disciplines who wish to develop advanced projects including CHIAs approaches and orientations, 
• students entering into or returning to careers in academia, tech industry, and other sectors by giving them the advanced skills, critical perspectives, and methodological insights to pursue these pathways.

Learning Outcomes

Knowledge and Understanding

By the end of the PhD programme our graduates will demonstrate:

• The ability to create and interpret new knowledge, through original research or other advanced scholarship of a quality to satisfy peer review, extend the forefront of the discipline, and merit publication.
• The general ability to conceptualise, design and implement a project for the generation of new knowledge, applications or understanding at the forefront of human-inspired AI, and to adjust the project design in the light of unforeseen problems.
• A detailed understanding of applicable techniques for cross-disciplinary research and advanced academic enquiry in the field of human-inspired AI
• The ability to make informed judgements on complex issues in human inspired AI, often in the absence of complete data.
• A critical perspective on the governance and ethical challenges that arise from applications of human-inspired AI and how these sit within and interact with wider society. 
• A systematic acquisition and understanding of a substantial body of knowledge in relation to the history, methods, and applications of human-inspired AI.

Skills and other attributes

Graduates of the course will be able to:

• Continue to undertake pure and/or applied research and development at an advanced level, contributing substantially to the development of new techniques, ideas or approaches.
• Communicate their ideas and conclusions clearly and effectively to specialist and non-specialist audiences.
• Contribute constructively within national, international and cross-disciplinary environments.
• Transfer skills and qualities acquired during the programme to successfully engage in employment requiring the exercise of personal responsibility and largely autonomous initiative in complex and unpredictable situations, in professional or equivalent environments.

Employability

Students of the programme will graduate with a formal qualification in the rapidly expanding area of AI. The emphasis is on human-inspired AI. The combination of specialist, technical expertise in AI and cross-disciplinary approaches involving a wide range of human-centric disciplines means that our doctoral graduates will be uniquely qualified in the sector. The PhD will, therefore, put them in a strong position to pursue careers in a variety of academic and non-academic settings, for example organisations and consultancies in diverse sectors such as tech, health, environment, education, journalism, civil service among others.

For those intending to continue into an academic career, the course will equip them with the skills, experience and qualification for applying for a postdoctoral research position.

For Cambridge students applying to continue from the MPhil to a PhD, students must achieve a pass in the MPhil by Thesis or an overall distinction in the MPhil by Advanced Study.

All applications are judged on their own merits, and students must demonstrate their suitability to undertake doctoral-level research.

The Centre for Human-Inspired Artificial Intelligence (CHIA) will hold an online webinar 9:00-9:45am on 4 November 2024.  Please see the  CHIA website  for information on how to register for this event. 

The Cambridge University Postgraduate Virtual Open Day usually takes place at the beginning of November.  It's a great opportunity to ask questions to admissions staff and academics, explore the Colleges virtually, and to find out more about courses, the application process and funding opportunities. Visit the  Postgraduate Open Day  page for more details.

See further the  Postgraduate Admissions Events  pages for other events relating to Postgraduate study, including study fairs, visits and international events.

Key Information

3-4 years full-time, 4-7 years part-time, study mode : research, doctor of philosophy, institute for technology and humanity, course - related enquiries, application - related enquiries, course on department website, dates and deadlines:, michaelmas 2025.

Some courses can close early. See the Deadlines page for guidance on when to apply.

Funding Deadlines

These deadlines apply to applications for courses starting in Michaelmas 2025, Lent 2026 and Easter 2026.

Similar Courses

• Human-Inspired Artificial Intelligence MPhil
• Chemistry MPhil
• Sensor Technologies and Applications EPSRC CDT PhD
• Digital Humanities MPhil
• Future Infrastructure and Built Environment (part time) EPSRC CDT PhD

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PhD Studentship: Putting Artificial Intelligence into Social Context: Developing Artificial Intelligence Agents that Enhance Cooperation within Organisations

City st george’s, university of london - computer science.

Applications are invited for a PhD studentship in the Department of Computer Science. The successful candidate will have the opportunity to work on the intersection of Artificial Intelligence and psychology, by studying the impact of conversational agents in social interactions within different organizational structures. The PhD student will be hosted at the Artificial Intelligence Research Centre (CitAI) and work in collaboration with colleagues at the Department of Psychology.  

The project will examine how Artificial Intelligence (AI) impacts cooperation. To do so, novel AIs will be developed so that they can converse and interact within a specific social context. We will examine the central aspects of human-machine cooperation within these specific social-relational contexts, and how cooperation can be enhanced by influencing people and machines. The impact of such technology will be assessed in their effectiveness in promoting collaboration and with regards to the ethical and legal challenges that AI poses.

Eligibility and requirements  

The candidate should have a first or upper second-class BSc/MSc (or equivalent) degree in Artificial Intelligence. They should demonstrate aptitude for original research.

The candidate should possess a good understanding of Artificial Intelligence, conversational agents and large language models in particular. A candidate who demonstrates exceptional aptitude in one or more of these areas (as evidenced, for instance, through strong academic credentials or research papers in reputable, peer-reviewed journals/conferences) may be accorded preference. Ideally, the successful candidate should have proven skills in programming in Python. It would also be desirable that the candidates have some interest or background in psychology and/or social sciences.

A doctoral candidate is expected to meet the following pre-requisites for their PhD: 

• Demonstrate a sound knowledge of their research area.
• Achieve and demonstrate significant depth in at least a few chosen sub-areas relevant to their primary research area.
• Demonstrate the ability to conduct independent research, including a critical assessment of their own and others’ research.

Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £21,237 and tuition fees (Home only). 

They will also have £4,000 for travel/conference attendance.

Start date 1 st February 2025

Additional income: Each student may also have the opportunity to earn around £2,200/year on an average (max. is around £4,300/year) through a teaching assistantship.

If you are interested in applying, I will be happy to address any initial informal enquiries.

Please send an email to Prof Eduardo Alonso at [email protected] and cc Dr Andreas Kappes, [email protected] .

How to apply

Online applications should be submitted via the course webpage

For queries regarding the application process, please contact [email protected]

City, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.

We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. City operates a guaranteed interview scheme for disabled applicants.

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MS in Artificial Intelligence (AI) in UK: Top Universities, Fees, Jobs

The UK offers a dynamic and accelerated MS program in Artificial Intelligence. Immersed in a diverse student body, you'll gain fresh perspectives and collaborate on innovative ideas. In this blog we will look into the UK’s top universities offering MS in AI, average tuition fee and various job opportunities.

• University College London, University of Southampton and University of Edinburgh are among the top universities in the UK offering MS in AI.
• The average tuition fee for MSc in Artificial Intelligence in the UK varies between 18,600 and 41,750 GBP (19.88 and 44.64 lakhs INR).
• After an MS in AI in the UK, you can get  jobs as AI specialist, Data scientist, Software developer and many more.

If you're searching for the best AI programs in the UK, we offer  Yocket Premium Service connecting you with expert counselors, who provide guidance in no time. AI has become an integral part of our world, and pursuing a Master's in this field at a prestigious UK university can be incredibly rewarding.

MS in Artificial Intelligence in UK Overview

AI's transformative power lies in its ability to automate, optimize, and predict, revolutionizing industries through efficiency gains, intelligent decision-making, and risk mitigation. The UK offers a strong foundation in AI education and research, making it an excellent place to pursue an MS in Artificial Intelligence. Key Elements are as follows:

MS in Artificial Intelligence in UK: Top Universities

UK's rich history in innovation and industrial collaborations, it is home to some of the world’s leading institutions for AI research and education. Following are the top universities renowned for their MS in AI:

MS in Artificial Intelligence in UK: Syllabus

An MS in AI in the UK offers a comprehensive curriculum in core AI concepts, machine learning techniques, with options to delve into specialized applications and ethical considerations.

• The core courses provide a foundational understanding of AI, machine learning, deep learning, natural language processing, and computer vision. The core subjects include NPL, deep learning, computer vision, machine learning and many more.
• Specialized areas within MS in AI programs in the UK include robotics, data mining, AI ethics, reinforcement learning, and generative models.
• Elective courses in AI programs offer specialized training in fields like cognitive science, game development, healthcare, and finance.

MS in Artificial Intelligence in UK: Cost Of Studying

The cost of studying an MS in AI in the UK varies widely based on factors like university prestige, program duration, location, and living expenses, but scholarships and financial aid can help offset these costs.

Potential Costs:

Average approximate tuition fees for an international student pursuing an MS in Artificial Intelligence in the UK is around £25,000 (₹24L INR) to £35,000 (₹35L INR) per year. MS in AI average tuition fees in the UK vary significantly based on factors such as university prestige, program specialization, location, funding, and course structure.

Average tuition fees for MS in Artificial Intelligence of Universities in UK is given below with respect with their universities:

Suggested: Top 10 Courses to Study In UK

MS in Artificial Intelligence in UK: Eligibility

To be eligible for an MS in AI in the UK, expect to have a relevant bachelor's degree, good grades, potentially related coursework, English proficiency test scores, and possibly relevant work experience.

• A bachelor's degree in a relevant field with a strong academic record and coursework in AI, machine learning, data science, or programming is often required for admission.
• IELTS or TOEFL scores, typically within the range of 6.5-7.0 for IELTS and 80-100 for TOEFL, are often required for English language proficiency.
• Relevant work experience in AI, data science, or software development, including internships or projects showcasing practical skills, can enhance your application.

Documents required 

• Academic Transcripts
• Letters of Recommendation
• Statement of Purpose
• English Language Proficiency Test Score
• Resume or CV

Admission Procedure

• Research universities known for AI programs.
• Check eligibility (GPA, language proficiency, prerequisites).
• Prepare application (statement, recommendations, CV, transcripts, test scores).
• Submit an application online with fees and documents.
• Attend interviews.
• Apply for a student visa (Tier 4).
• Accept offer and arrange accommodation.

MS in Artificial Intelligence in UK: Scholarships

Studying for an MS in AI in the UK can be expensive. But there are different kinds of scholarships to help you pay for it. Let's look at some of the common options:

• University Specific Scholarships: Universities offer scholarships based on academic merit, financial need, or specific fields like AI.
• Government Scholarships: The UK government's Chevening Scholarships and the EU's Erasmus+ program both offer funding for exceptional students, with Chevening focusing on global leadership and Erasmus+ primarily supporting European studies.
• Others: Private foundations, companies, and international organizations offer scholarships to international students studying AI.

MS in Artificial Intelligence in UK: Job Opportunities

An MS in AI equips graduates for roles in data science, machine learning, AI research, and engineering, with specializations in natural language processing, computer vision, or robotics. Job opportunities span across industries, from tech giants to healthcare and finance.

• The UK's robust research environment, government support, and thriving tech industry have positioned it as a global AI hub. 
• The UK's ecosystem fuels a diverse job market across sectors, attracting top talent and offering competitive salaries. 
• AI professionals in the UK command average salaries significantly higher than the national average, with potential for substantial earnings in specialized roles.

Suggested: Top 10 Public Universities in UK for International Students

Courses After Masters in Artificial Intelligence in UK

After completing an MS in Artificial Intelligence, you have a wide range of options to further your education or specialize in specific areas. Following are the courses available after masters in artificial intelligence in UK:

• PhD in Artificial Intelligence
• Specialized Master's Programs
• Professional Certifications
• Executive Education Programs

From The Desk of Yocket

Want to narrow down your top UK universities for an MS in AI? Schedule a FREE CONSULTATION now at yocket. Yocketers like Aditya and Dipayan have benefited from this.  Pursuing an MS in AI in the UK offers significant rewards and excellent career prospects, making it a popular choice for students worldwide. 

An MS in AI from a top UK university can propel your career to new heights.Consult with Yocket's expert counselors today to learn more about your options and how we can help you get into a top UK university.

FAQs on MS in Artificial Intelligence (AI) in UK

Is UK good for Masters in AI?

The United Kingdom holds a great many world-class universities that offer exceptional MSc in artificial intelligence in UK.

Is artificial intelligence in demand in UK?

With this rise in the need for AI skills, we have seen the demand for AI Engineers in the UK surge in beginning of 2024, reflecting a broader global trend towards the integration of artificial intelligence across various sectors.

How much do MS in AI make in the UK?

With experience, skilled graduates can earn up to £40,000-70,000 (INR 40-70 lakh) per year.

What are the top universities for MS in artificial intelligence in the UK?

Imperial College London, University of Oxford, University College London are top tier universities offering MS in Artificial Intelligence in the UK.

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Graduate Certificates in Artificial Intelligence & Information Warfare

Prepare to Lead on the Digital Battlefield

Uncover new opportunities for professional growth with Norwich University Online's cutting-edge graduate certificates in Artificial Intelligence and Information Warfare. These meticulously crafted programs are tailored to empower professionals with a nuanced blend of technical expertise and strategic acumen crucial for success in the dynamic fields of AI and information warfare.

Enrich your educational journey with an unparalleled online learning experience offered by Norwich University, a trailblazing institution recognized as a Center for Academic Excellence in Cyber Defense Education by the National Security Agency and the Department of Homeland Security. Benefit from the insightful guidance of seasoned cybersecurity instructors dedicated to providing hands-on support as you navigate your academic pursuits at Norwich.

Through your Norwich certificate, you can unlock the potential to assume influential roles within your organization, shaping pivotal business, governance, and policy decisions that effectively address prevalent and emerging security challenges. You can also acquire the essential skills to safeguard and champion the understanding and valuation of information assets within intricate business ecosystems.

Explore These Graduate Certificates

Ai graduate certificate.

The artificial intelligence certificate allows students to critically analyze case studies on digital transformation, data strategy, and AI-powered enterprise solutions to identify real-world obstacles and possibilities. Through the use of data governance and responsible AI concepts, students can evaluate the ethical implications of AI technologies and defend judgments in business cases, promoting responsible and informed AI technology management and its impact on the organization. Learn how to establish and interpret metrics for various model types and translate data analysis and model findings based on your business' needs.

The certificate is comprised of two 11-week courses: Artificial Intelligence in Industry , and Foundations of Artificial Intelligence for Applied Intelligence . Totaling 12 graduate-level credits, these course are completed entirely online. Upon successful completion of a certificate program, students wishing to enter into our Master of Science in Cybersecurity program will be able to use the certificate courses toward the completion of their master’s degree.

Info Warfare Graduate Certificate

The certificate in information warfare will help you identify and explain the fundamental principles of information warfare as conceptualized by different countries. You will evaluate and assess current information warfare threats and information capabilities from Russia, China, Iran, DPRK, and violent extremist organizations. Classify how and why weaponized information is used as part of modern influence campaigns, evaluate vulnerabilities of social systems that an adversary could exploit through weaponized information, and construct accurate threat models through detailed characterization of an adversary’s information capabilities through a multidisciplinary approach.

The certificate is comprised of two 11-week courses: Information Warfare: Theory and Practice , and Cognitive Warfare and Information Domain . Totaling 12 graduate-level credits,  the course are completed entirely online. Upon successful completion of a certificate program, students wishing to enter into our Master of Science in Cybersecurity program will be able to use the certificate courses toward the completion of their master’s degree.

Next Session Start Dates: 

WINTER: November 18, 2024

SPRING: February 17, 2025

SUMMER: May 19, 2025

Accreditation & Recognition

Norwich University is accredited by the New England Commission of Higher Education (formerly the Commission on Institutions of Higher Education of the New England Association of Schools and Colleges, Inc.).

Norwich University has been designated as a Center for Academic Excellence in Cyber Defense Education by the National Security Agency and Department of Homeland Security.

The appearance of U.S. Department of Defense (DoD) visual information does not imply or constitute DoD endorsement.

Norwich Students Go Beyond

The time requirements of an active-duty couple with family life are not easy, but the reputation of Norwich to both demand rigorous academic effort while also accommodating the demanding schedule of an active-duty professional was tough to ignore.

Andy Blanco

'24 Master of Arts in Strategic Studies

The program seemed well situated for someone with a professional career and was relatively self-paced.

Col Adam Rice

I selected the strategic studies and defense analysis degree because it was not something that I had heard of in other schools and I understood the degree would set me apart from my peers when looking for future employment.

Melanie Soto

'19 Bachelor of Science in Strategic Studies and Defense Analysis

As the tagline for Norwich University says, "Expect Challenge. Achieve Distinction," do expect challenge, but also expect to be supported by your fellow classmates and instructors along the way.

Benjamin Robert Bradley

'24 Master of Science in Cybersecurity

Continuing my coursework while deployed to Jordan in 2020 was difficult for so many reasons. Norwich instructors were very understanding and, at times, helped me get through it one day at a time.

Jeremy Faller

'24 Bachelor of Science in National Security Studies

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An ethics expert’s perspective on ai and higher ed.

As a scholar deeply immersed in both technology and philosophy, James Brusseau, PhD, has spent years unraveling the complex ethics of artificial intelligence (AI).

“As it happens, I was a physics major in college, so I've had an abiding interest in technology, but I finally decided to study philosophy,” Brusseau explains. “And I did not see much of an intersection between the scientific and my interest in philosophy until all of a sudden artificial intelligence landed in our midst with questions that are very philosophical.”

Some of these questions are heavy, with Brusseau positing an example, “If a machine acts just like a person, does it become a person?” But AI’s implications extend far beyond the theoretical, especially when it comes to the impact on education, learning, and career outcomes. What role does AI play in higher education? Is it a tool that enhances learning, or does it risk undermining it? And how do universities prepare students for an AI-driven world?

In a conversation that spans these topics, Brusseau shares his insights on the place of AI in higher education, its benefits, its risks, and what the future holds.

What is AI's place in higher education?

I do have an opinion on higher education and AI, and it's controversial, but on this matter, all opinions are controversial. I think, at this point, it's my instinct to say that AI—more than anything else—is just a tool. That is, I do not think it is capable of producing thought as you and I do.

For example, when you look at AI-generated art, there's always some little tell that it's machine-made. There'll be six fingers on a hand, or it’s too perfect, or too symmetrical. The human eye can detect when AI has created art. And I think that of course AI will constantly get better, but I think there will always be that sense that you and I will have that an artificial intelligence has created art.

I think that if AI alone is the professor, then the knowledge students get will be imperfect in the same vaguely definable way that AI art is imperfect.

And I think that that’s also true for knowledge—knowledge about philosophy, about journalism, knowledge about the kinds of things we teach at Pace. I think that if AI alone is the professor, then the knowledge students get will be imperfect in the same vaguely definable way that AI art is imperfect.

My broad opinion is that AI is just a tool. It's not actual intelligence itself. And for that reason, its effects in higher education will be somewhat limited, though I think that in a couple of ways, they’ll be very significant.

What are some of the benefits of integrating AI in learning?

AI, at least in my experience, allows us to learn about things very quickly. I mean, I just know in my professional work, I'm asking fairly specialized questions.

For example, I'm writing a paper now about art and creativity, and I was writing about an author called Walter Benjamin, who is a fairly narrowly known philosophical writer, and I asked ChatGPT a very specific question about what this author thought about a specific painting, and it gave me a good answer. And I checked a book I have on the author to make sure, and it was right.

So one thing that AI will do is provide very specific and personalized information for students and professors very quickly.

What are some of the concerns about AI in higher education?

I think that is fairly clear: It's the over-reliance on AI. I have already seen students relying on it for their work. Sometimes students forget that professors, like me, were also students once in the past. And so, they don't imagine that when I write an exam, I might give that exam to ChatGPT to see what ChatGPT says. And then when the student does the same thing, right away I can see that they have used AI, because I got almost exactly the same answer from ChatGPT.

I think that the risk of AI is that the students will become sloppy, they will become careless. They will let AI, in essence, do their work. And I think that's a legitimate downside.

How can universities and professors assess true student understanding of a topic or concept?

It’s my belief that oral exams will make a comeback. During my summer semester at the University of Trento in Italy, we had, for the first time, purely oral exams for my classes. For the midterm exam, I had the students gather into groups and do presentations on AI ethics and then for the final exam, I had each student do a presentation alone.

That kind of just human interaction, I think, one, it's a very good learning experience for the student. It's hard to stand up in front of your colleagues and talk, it's a learned skill. I think that we should promote that more going forward.

But I think also, two, that's a way to discover whether or not the student actually learned and did the work. And when students know that there is an oral exam at the end, I think that will in some sense force them to do more of the learning. And I think that will help students focus learning from AI instead of letting AI do the learning for them.

What do you think will be the overall impact of AI on student learning?

I think that the big change that we're going to see from AI is not so much in how education works, but how students, more than ever, are going to be responsible for their own education. Students who want to learn a lot are going to be able to learn more, faster. However, students who are clever and really just want to get through, I think they are also going to be empowered to do that in numerous ways.

For example, part of what is discovered in the traditional research process is tangential to the initial goal. If a student wants to write about how previous scholars have understood the idea of privacy, they will need to comb through several texts and likely make some unexpected discoveries about the subject. But, with ChatGPT, they can go directly to the required information. That helps with their grade, but detracts from their intellectual curiosity.

Students, more than ever, are going to be responsible for their own education.

In education, I think we're going to see a growing level of inequality in outcomes. Some students are going to graduate with educations that are pristine, that are at levels that could not have been even reached 20 years ago, because they will have been able to use AI to research so deeply into a subject they enjoy. But I’m afraid, we are also going to see some graduates who have been able to fake it, in essence, the whole four years.

There are a lot of fears about AI taking jobs. What are your thoughts on how AI will affect career opportunities?

There will be some transformation in jobs. Jobs will change. But just my own experience tells me that there's more opportunities than losses.

Let me give you an example. Seidenberg’s Christelle Scharff and I wrote a paper about how AI can be used to help clothing designers produce new kinds of clothes. A really interesting application. I never would have thought of that. People think about AI for doing healthcare. They think about AI for making weapons and destroying the world and that kind of thing. But I never would have thought about artificial intelligence and clothing design.

So, this is a terrific opportunity for someone from Pace. We have courses on design and the arts, and we have a computer science school. That's an opportunity for someone from Pace to create a kind of job for themselves, right? So, my sense is that AI will do more of that creation than destruction. Of course, there will be destruction, but for people who are ambitious and creative, I think the opportunities are there.

Want to join the AI discussion? RSVP for the upcoming AI user groups kickoff meetings , a new initiative from the Provost's Committee on Artificial Intelligence.

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• Schools & departments

AI and data in healthcare

Data science and artificial intelligence, including robotics, is playing an ever-increasing role in medicine and health. Find out how we’re contributing to this emerging field.

Data science and artificial intelligence ( AI ), including robotics, are opening up new possibilities in medicine and healthcare, from using AI for disease detection to robotics in social care.

Most recently, the Covid-19 pandemic has given us a glimpse of the role that massive data initiatives and AI can and will play in pandemic research.

The potential benefits to deploying these technologies are vast. To fully exploit this potential, we’ll need high-quality research and education programmes to help healthcare systems and policies better understand and prepare for transformation.

What we're doing

At Edinburgh, our research at the intersection of big data, artificial intelligence, and health has an opportunity to make significant positive impact on society by improving patient care through better diagnosis and treatment.

Here is some of the work we’re doing to stay close to the forefront of this emerging field.

A health data research hub for respiratory health

The BREATHE project, led by Professor Aziz Sheikh at the Usher Institute, is enabling the use of health data in cutting-edge research and innovation, to address respiratory conditions such as asthma, COPD and Covid-19.

BREATHE is working with its partners in applying artificial intelligence methods, such as natural language processing, to define the clinical characteristics and predictive factors for the progression of patients hospitalised with Covid-19. Further research is using AI to scan large datasets for patterns that will inform understanding of how effective Covid-19 vaccines are.

The research uses the latest GP , hospital information and Covid-19 testing data from electronic medical records data in the UK . The researchers are developing techniques to link the medical information data from GP records, along with data from hospitals about their Covid-19 patients.

Find out more about BREATHE

Training the next generation of biomedical AI experts

AI technologies will be a key driver in furthering our understanding and discovering new interventions in biomedicine.

Our Centre for Doctoral Training in Biomedical Artificial Intelligence, with major funding from UK Research and Investment ( UKRI ), will train a new generation of interdisciplinary scientists who will shape the development of AI within biomedical research over coming decades. These students will gain the skills, knowledge and acumen to realise biomedical breakthroughs using AI while anticipating and addressing the social issues connected with their research.

Find out more about the Centre for Doctoral Training in Biomedical Artificial Intelligence

Innovating later-life care

We anticipate a future where high‐quality data‐driven, personalised and affordable care will support the independence, dignity and quality‐of‐life of people living in their own homes and in supported care environments

Our Advanced Care Research Centre ( ACRC ) aims to transform care in later life using personalised care enabled by data science, artificial intelligence, assistive technologies and robotics embedded in systems of health and social care which are highly responsive to the wishes, priorities and needs of individual people in later life.

The Centre will have access to linked routine health care data in Scotland and in other UK countries through our leadership role in Health Data Research UK. The £4.3M investment in DataLoch, a repository of all routine health and social care data for Edinburgh and South East Scotland, will enhance access, linkage, data security and the core analytical platform for a regional population of 1.3 million people. The Centre will also apply AI methods, such as natural language processing and machine learning, to analyse qualitative health and social care data recorded in free-text clinical records.

Find out more about the Advanced Care Research Centre

Partner with us

We’re already doing exciting work in this field but we’d like to do more. If you’d like to have a conversation about our vision and how you can support that, please get in touch.

Chloe Kippen

Director of philanthropy and health, contact details.

• Email: [email protected]

Artificial Intelligence for Business Certificate

The Artificial Intelligence for Business graduate certificate focuses on developing critical skills needed in artificial intelligence careers. 

Program details

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Program features, flexible format.

Complete this certificate in less than one year, or take as long as three years to complete.

Online learning

Learn at the pace and style that works best for you with traditional and project-based courses offered in an interactive online format.

AI fundamentals

Master the fundamental skills required to design, implement, and manage AI solutions for business.

Transferable credits

Should you choose to continue your education and apply for an MBA or MS degree, you can transfer up to 12 credits earned in this program.

Students will learn essential skills such as statistics, machine learning, and deep learning, along with AI management and leadership skills through the required courses for the certificate. 

University catalog

The latest edition of the Carey Business School University Catalog is available.

Explore sample curriculum

The Artificial Intelligence for Business graduate certificate focuses on developing critical skills needed in artificial intelligence careers. As organizations increasingly rely on AI for business solutions to stay competitive, this certificate equips students with the expertise needed to meet evolving demand. Students can add elective content in AI domain practicum areas through elective courses. 

Certificate requirements

Students are required to complete the Artificial Intelligence for Business graduate certificate within three years. The AI certificate consists of six courses (12 credits). All courses are two credits. 

Required courses (10 credits):

• BU.510.601 Statistical Analysis 
• BU.330.775 Machine Learning: Design and Deployment
• BU.520.710 AI Essentials for Business  
• BU.330.735 Responsible AI
• BU.330.760 Generative AI 

Electives (2 credits):

• Approved elective course

Program Comparison

• Complete certificate in 1 to 3 years
• Online, flexible format
• Asynchronous and/or fully synchronous courses
• Complete your degree in two years
• Curriculum emphasizes relevant AI foundations 

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