| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time |
| Entry year | September 2025 |
| Campus | Streatham Campus |
| Discipline | Computer Science |
| Contact |
| Typical offer | 2:1 in Computer Science or a related area. |
|---|---|
Overview
- Delve into the transformative world of AI systems that generate content and create innovative solutions
- Explore core theoretical principles and methodologies of generative models, focusing on their diverse applications, from natural language processing, text-to-image synthesis, and creative industries
- Discover the intersections of generative AI and computer science, linguistics, healthcare, environmental science and more
- Based on a foundation of leading research into the ongoing development and integration of generative AI and its impact on the future of work and business
Top 20 for Computer Science
20th in The Times and The Sunday Times Good University Guide 2024
Top 10 in the UK for graduate prospects
Joint 9th for graduate prospects for Computer Science in the Complete University Guide 2025 (94%)
Long-established partnership with the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence
Top 20 for Computer Science
20th in The Times and The Sunday Times Good University Guide 2024
Top 10 in the UK for graduate prospects
Joint 9th for graduate prospects for Computer Science in the Complete University Guide 2025 (94%)
Long-established partnership with the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence
Entry requirements
2:1 in Computer Science or a related area.
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 B3. Please visit our English language requirements page to view the required test scores and equivalencies from your country.
Course content
By joining our cutting-edge Masters in Generative Artificial Intelligence, you will delve into the transformative world of AI that focuses on generating content and creating innovative solutions. This programme will equip you with in-depth knowledge of the principles and technologies underpinning generative AI, from foundational machine learning concepts and data-driven modelling to deep learning and advanced techniques such as large language models. A key component is the ethical and societal implications of generative AI. The programme will foster the development of responsible AI systems that can contribute positively to society, preparing you to engage critically with the challenges and opportunities of this rapidly evolving field.
You will explore the core methodologies of generative models and their diverse applications in fields like natural language processing, text-to-image synthesis, and creative industries. The programme balances theoretical knowledge with practical skills, providing a comprehensive understanding of generative AI.
This programme promotes collaboration across diverse domains, encouraging you to explore the intersections of generative AI with computer science, linguistics, healthcare, environmental science and more. It aims to broaden your perspective and spark innovative applications of generative AI.
The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. Because AI is such a rapidly changing field, the precise modules available to you in future years will vary depending to accommodate cutting-edge research and techniques, staff availability, timetabling and student demand.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| COMM514 | Research Project | 60 |
| COMM113 | Deep Learning | 15 |
| COMM114 | Generative AI | 15 |
| COMM115 | Data Science at Scale | 15 |
| COMM116 | Generative AI Applications | 15 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| ECMM445 | Learning from Data | 15 |
| ECMM422 | Machine Learning | 15 |
| COMM117 | Large Language Models and Applications | 15 |
| ECMM426 | Computer Vision | 15 |
| ECMM447 | Social Networks and Text Analysis | 15 |
| COMM118 | AI in Healthcare | 15 |
| COMM119 | AI in Environment | 15 |
| SOCM033 | Data Governance and Ethics | 15 |
Fees
2025/26 entry
UK fees per year:
£14,300 full-time
International fees per year:
£30,300 full-time
Funding
We are proud to offer a range of scholarships to help fund your studies. We constantly add to our scholarship portfolio, many of which are funded by our alumni and supporters.
Our prestigious, merit-based Excel at Exeter scholarship is designed to support international applicants with outstanding academic records. We have awards for undergraduate and postgraduate applicants.
Scholarships
The University of Exeter has many different scholarships available to support your education, including £5 million in scholarships for international students applying to study with us in the 2025/26 academic year, such as our Exeter Excellence Scholarships*.
For more information on scholarships and other financial support, please visit our scholarships and bursaries page.
*Terms and conditions apply. See online for details.
Teaching and research
You will be taught by a range of staff with relevant expertise and knowledge in generative artificial intelligence, Large Language Models (LLMs), and machine leaning. This will include senior academic staff, qualified professional practitioners, demonstrators, technicians and research students. You may also benefit from guest lectures from industry.
Teaching
Teaching is mainly delivered by lectures, workshops and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in-depth coverage of the subject and go beyond the lectures.
Facilities
We have invested heavily in state-of-the-art teaching facilities for Computer Science and related programmes during 2024. The Lovelace lab seats 120 students and is designed to ensure lines of sight and audio are optimised wherever you are in the room.
The Babbage lab seats 60 and benefits from the same design principles, but also benefits from a breakout space, meaning students can experience both ‘chalk and talk’ teaching of theoretical aspects, and try out these fundamentals in the lab in the same session.
Internationally recognised research
We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries and new technologies, becoming actively involved in a research project yourself.
Supportive environment
We aim to provide a supportive environment where students and staff work together in an informal and friendly atmosphere. We operate an open-door policy, so it’s easy to consult individual members of staff or to fix appointments with them via email. As a friendly group of staff, you’ll get to know us well during your time here.
Assessments
The assessment strategy for each module is explicitly stated in the full module descriptions given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills. Assessment methods include essays, closed book tests, exercises in problem-solving, use of the web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.
Academic support
Teaching staff include scientists and leading academics in the field who work with businesses to solve difficult, real-world problems. The university also has a growing number of apprenticeship programmes whose direct links with industry benefit the department.
Careers
New roles, such as Generative AI Architect and LLM Engineer, have emerged with the mainstream development of Generative AI, and employers are already looking for the sorts of skills that our graduates will develop. This is the case across all sectors including health, environment, marketing, finance, and the creative industries. Professional certifications and credentials in Generative AI have seen a significant increase in demand in the job market, e.g., the NVIDIA Generative AI Multimodal and LLMs certification. These skills not only enhance employability but also provide a competitive edge, positioning graduates to excel in these rapidly evolving roles. There is significant scope for industry partnerships in respect of case studies, placements, projects etc.
More generally, Computer Science and its related disciplines are at the forefront of technology and innovation. With connectivity at the heart of society, we need graduates who can understand the latest techniques and technology to negotiate problems. There are huge opportunities for businesses and individuals who can solve these problems using cutting edge technologies such as artificial intelligence, machine learning, data science, high performing computing and cyber security.
A Generative Artificial Intelligence degree provides you with a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI. These skills are highly sought after in most sectors, including both public and private, and demands is only increasing.
Graduate destinations
Career opportunities are limitless, with computer science and related graduates being found in a variety of sectors, including software engineering, health communications, education, life sciences, finance and manufacturing. This programme is particularly suited to professionals and graduates looking to develop career options or pursue academia.
Dedicated careers support
You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the Career Zone for additional information on their services.
