| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time |
| Entry year | January 2026 |
| Campus | Streatham Campus |
| Discipline | Business and Management |
| Contact |
| Typical offer | 2:1 Honours degree or above in any discipline and GCSE Mathematics or equivalent. |
|---|---|
Overview
- Enabling non-specialists to become expert users of AI through the applied use of AI to give you experience of using a range of tools and techniques.
- Focus on the skills and knowledge you need to utilise AI applications in business and management situations
- Develop the skills to enter an in-demand area of business and management and work on innovative solutions for your organisation
- Undertake a business project developed with industry contacts, focused on real world challenges
- Learn from a range of expert guest speakers from industry and academia
Triple accredited Business School
AMBA, AACSB, EQUIS
Top 5 in the UK for Marketing
4th in the Complete University Guide 2026
Top 10 in the UK for Business graduate prospects
Complete University Guide 2025
Top 10 in the UK for world-leading research in Business and Management
(Based on research rated 4* and 3* in the Research Excellence Framework 2021)
Triple accredited Business School
AMBA, AACSB, EQUIS
Top 5 in the UK for Marketing
4th in the Complete University Guide 2026
Top 10 in the UK for Business graduate prospects
Complete University Guide 2025
Top 10 in the UK for world-leading research in Business and Management
(Based on research rated 4* and 3* in the Research Excellence Framework 2021)
Entry requirements
A 2:1 Honours degree or above in any discipline and GCSE Mathematics or equivalent. We do consider all applications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience or professional qualifications.
Pre-Masters programme for international students
The Graduate Diploma in Management run by the INTO University of Exeter Centre is a pre-Masters programme designed to enhance your subject knowledge, study skills and English ability. Successful completion of the Diploma (subject to achieving the specific grades of entry) gives students from overseas the skills needed for acceptance onto this Masters programme.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
Entry requirements for international students
Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
Entry requirements for international students
English language requirements
International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B2. Please visit our English language requirements page to view the required test scores and equivalencies from your country.
Course content
The MSc Business and AI is a cutting-edge, interdisciplinary course designed to equip you with the skills to lead in the era of intelligent business.
Delivered jointly by the Business School and the Department of Computer Science, this innovative course bridges the gap between advanced artificial intelligence techniques and real-world business strategy.
You will explore a dynamic blend of subjects, including Machine Learning, Data Science, Strategic Innovation Management, and AI’s impact on Business and Society.
Practical modules such as Programming for Business Analytics and a hands-on Business and AI Consultancy Project ensure graduates gain both technical expertise and strategic insight.
A unique feature of the programme is its strong industry integration. You will benefit from guest lectures by leading academics and industry practitioners, giving you direct exposure to current trends and challenges in AI-driven business environments.
The course launches with a fast-paced induction hackathon, encouraging immediate collaboration, creativity, and problem-solving.
- During the programme you will study modules totalling 180 credits.
- Please note that programme structures may be subject to change.
- Descriptions of the individual modules are given in full on the Business School postgraduate module list.
150 credits of compulsory modules; 30 credits of optional modules:
Compulsory modules
150 credits of compulsory modules:
| Code | Module | Credits |
|---|---|---|
| BEMM837 | AI, Business and Society | 30 |
| BEMM828 | MSc Project | 45 |
| BEMM458 | Programming for Business Analytics | 15 |
| ECMM443 | Introduction to Data Science | 15 |
| ECMM422 | Machine Learning | 15 |
| BEMM068 | Managing Competitive Strategy | 15 |
| BEMM118 | Strategic Innovation Management | 15 |
Optional modules
30 credits of optional modules.
Notes:
a: choose one of these modules.
b: choose one of these modules.
| Code | Module | Credits |
|---|---|---|
| ECMM447 | Social Networks and Text Analysis [See note a above] | 15 |
| COM2019 | Programming for Prompt Engineering [See note a above] | 15 |
| BEMM786 | Service Design and Innovation [See note b above] | 15 |
| BEM3061 | Business Ignition - Idea to Implementation [See note b above] | 15 |
Fees
January 2026 entry
UK fees per year:
£18,600 full-time
International fees per year:
£30,700 full-time
Scholarships for January Start
Our Exeter Excellence Scholarships are also available for applicants looking to study with us in January 2026 and applications for these scholarships will open in September.
Scholarships
The University of Exeter offers a wide range of scholarships to support your education, with £7 million available for international students applying to study with us in the 2026/27 academic year, including our prestigious Exeter Excellence Scholarships *. We also provide awards for sport, music and other achievements, as well as regional and partner scholarships with organisations such as Chevening, The Beacon Trust and the British Council. For more information on scholarships and other financial support, please visit our scholarships and bursaries page.
University of Exeter Alumni Scholarship
We are pleased to offer University of Exeter alumni beginning a standalone postgraduate programme in 2026/27 with us a scholarship towards the cost of your tuition fees. Full details can be found here.
*Terms and conditions, including deadlines, apply. See our website for details..
Teaching and research
Teaching and assessment
The programme is delivered through a mix of lectures, seminars, tutorials, guest lectures, presentations, case studies and project work.
Personal Tutor
You will be allocated a Personal Tutor who is available for advice and support throughout your studies, along with support and mentoring from graduates who are now in industry. There is also a Postgraduate Tutor available to help with further guidance and advice.
A research and practice-led culture
Our research is rated as world-leading or internationally excellent in the Research Excellence Framework (REF) 2021 and we believe every student benefits from being taught by experts active in research and practice.
Our research-led teaching is combined with practical experiences, so that you can apply your learning to real world scenarios. Upon graduation, you will have the skills and knowledge to pursue the career you want, wherever in the world you choose to work.
You will be taught by internationally respected academics who are at the forefront of their research. We draw upon disciplines across the social sciences and give emphasis to the dynamic nature of enterprise, global connectivity and the management and leadership of the global challenges that lie ahead.
The Business School is home to the following research centres:
- Centre for Innovation in Business Education
- Centre for Responsible Innovation (CRI)
- Centre for Simulation, Analytics and Modelling (CSAM)
- Exeter Centre for Leadership (ExCL)
- Exeter Centre for Social Networks (ECSN)
- Exeter Sustainable Finance Centre (ESF)
- Initiative in the Digital Economy at Exeter (INDEX)
- Land, Environment, Economics and Policy Institute (LEEP)
- Research Methods Centre
- Tax Administration Research Centre (TARC)
- The Exeter Centre for Circular Economy (ECCE)
Careers
Given the rapid growth of AI use in business and management, employers are looking for graduates with a strong knowledge of how to apply this technology to the problems and challenges they face.
On graduation you will have the skills to enter an in-demand area of business and management and work on innovative solutions for your organisation.
Your future career
Graduates of this programme will be prepared to step into roles across a wide range of industries where AI helps to drive organisational growth. Examples of the types of roles might be of interest to graduates might include, Business Transformation Consultant, Customer Insights Specialist, Strategic Innovation Advisor, AI Business Analyst, Innovation Manager.
The degree’s emphasis on how AI has and is changing the nature of the workplace, as well as ethical and legal issues, such as privacy and intellectual property (IP) opens pathways in corporate strategy or innovation management. Some graduates will leverage these skills to develop entrepreneurial ventures or join fast-growing start-ups, where the ability to innovate rapidly and communicate value to stakeholders is highly prized.
For those who wish to continue their academic journey, the rigorous, research-informed curriculum provides a sound foundation for pursuing advanced study at doctoral level.
Across these career routes, graduates benefit from the University’s strong links to professional networks and its commitment to ongoing personal development, ensuring that the knowledge and capabilities gained remain relevant in the face of shifting market demands.
Developing your skills and career prospects
The University of Exeter Business School provides a range of support to help you develop skills attractive to employers. Visit our postgraduate Business School careers service web page for more information.
