MSc Generative Artificial Intelligence

1 Year On Campus Masters Program

University of Exeter

Program Overview

The MSc Generative Artificial Intelligence at the University of Exeter is designed for students who want to understand and develop advanced AI systems capable of creating content, generating solutions, and supporting innovation across different industries. The programme is ideal for graduates interested in artificial intelligence, data science, and emerging technologies, providing knowledge of generative models, deep learning, natural language processing, and real-world AI applications.

Curriculum Structure

Year 1 – Generative AI Foundations and Advanced Applications

Students begin by building a strong foundation in artificial intelligence through core modules such as Deep Learning, Generative AI, Data Science at Scale, and Generative AI Applications. These modules introduce students to advanced AI models, large-scale data processing, and the techniques used to develop intelligent systems capable of generating new content and solving complex problems.

Students further develop their practical and research skills through the Research Project, where they apply generative AI concepts to an independent project focused on solving a real-world challenge. This experience helps students strengthen their analytical thinking, technical abilities, and ability to design innovative AI solutions.

Students can also customise their learning through optional modules such as Large Language Models and Applications, Text Mining and Natural Language Processing, Machine Learning, Computer Vision, Network Science, and Data Governance and Ethics. These modules allow students to explore specialist areas including language-based AI, visual AI systems, responsible AI development, and ethical approaches to artificial intelligence.

Focus Areas

Generative AI, deep learning, large language models, natural language processing, machine learning, computer vision, AI applications, data science, text generation, image generation, data governance, AI ethics, responsible artificial intelligence, and advanced computing technologies.

Learning Outcomes

Graduates will develop advanced knowledge of generative AI technologies, machine learning methods, and the principles behind modern artificial intelligence systems. Students will gain the ability to design, evaluate, and apply AI solutions while understanding the ethical, social, and practical considerations involved in developing responsible AI technologies.

Professional Alignment (Accreditation)

The MSc Generative Artificial Intelligence is designed to provide industry-relevant skills by combining expertise in artificial intelligence, computer science, data science, and responsible technology development. Through research-led teaching and practical application of AI concepts, students develop the technical and problem-solving abilities needed for careers in the rapidly growing AI sector.

Reputation (Employability Rankings)

The University of Exeter provides a strong environment for studying artificial intelligence, supported by its research expertise and connections with leading organisations in data science and AI. Students benefit from the university’s involvement with initiatives such as the Alan Turing Institute and the Institute of Data Science and Artificial Intelligence, gaining exposure to advanced research and innovation in the field.

Experiential Learning (Research, Projects, Internships etc.)

Students on the MSc Generative Artificial Intelligence at the University of Exeter gain practical experience by applying advanced AI concepts to real-world challenges through research projects, practical activities, and collaborative learning. The programme provides access to specialist computing facilities, research expertise, and modern learning environments where students can develop skills in generative AI, machine learning, large language models, and responsible AI development. Students learn from academics and researchers working in areas such as artificial intelligence, data science, and emerging technologies, helping them understand both the technical and practical impact of AI innovation.

Students benefit from a combination of specialist facilities, research resources, and practical learning opportunities:

Generative AI Research Project: Students complete an independent research project where they apply knowledge from modules such as Deep Learning, Generative AI, Data Science at Scale, and Generative AI Applications to explore and develop solutions using artificial intelligence techniques.
Lovelace Computer Laboratory: Students have access to dedicated computer laboratories designed for Computer Science teaching, supporting practical sessions, AI development activities, programming work, and collaborative learning.
Babbage Computer Laboratory: This facility provides additional space for practical learning, teamwork, and project-based activities, helping students experiment with computing technologies in a collaborative environment.
High Performance Computing Resources: Students can benefit from advanced computing infrastructure that supports complex AI research, large-scale data processing, and computationally intensive projects.
Group Projects and Collaborative Activities: The programme includes collaborative learning opportunities where students work together to solve AI-related problems, develop solutions, and improve teamwork and communication skills.
AI Development Tools and Technologies: Students explore modern AI approaches including large language models, deep learning, machine learning, natural language processing, and generative AI applications, developing skills relevant to current AI industries.
Institute of Data Science and Artificial Intelligence: Students benefit from Exeter’s research environment through links with the Institute of Data Science and Artificial Intelligence, which supports innovation and research in data-driven technologies.
Alan Turing Institute Partnership: The University of Exeter’s connection with the Alan Turing Institute provides exposure to national-level research developments in artificial intelligence and data science.
Digital Learning Resources: Students have access to online learning materials, academic resources, workshops, and digital platforms that support independent study and deeper exploration of AI concepts.

Progression & Future Opportunities

Graduates of the MSc Generative Artificial Intelligence at the University of Exeter will be well prepared for careers in the fast-growing artificial intelligence sector, with opportunities across technology, healthcare, finance, marketing, environmental applications, and creative industries. The programme develops advanced skills in generative AI, machine learning, and large language models, enabling graduates to pursue roles such as Generative AI Engineer, AI Engineer, Machine Learning Engineer, and Data Scientist.

Career development and future opportunities include:

Career Support Services: Students can access support from the University of Exeter’s Career Zone, which provides personalised career advice, one-to-one guidance, employability workshops, employer events, and resources to help students prepare for successful careers.
Industry-Relevant Skills Development: The programme equips students with practical knowledge of generative AI, deep learning, machine learning, and advanced AI technologies that are highly valued across the technology sector. Students can also enhance their professional profile through relevant technical certifications and industry-recognised training.
Research and Industry Connections: Students benefit from Exeter’s strong research environment, including links with the Institute of Data Science and Artificial Intelligence and the university’s partnership with the Alan Turing Institute, providing exposure to leading developments in AI research and innovation.
Wide Range of Career Opportunities: Graduates can apply their AI expertise across industries such as software development, healthcare technology, financial services, marketing technology, robotics, and data-driven businesses where AI solutions are transforming operations.
Graduate Outcomes: The programme supports graduates in developing the technical and analytical skills needed for roles in industry, research, and innovation. Students can progress into professional positions involving AI development, data analysis, machine learning, and emerging technology solutions.

Further Academic Progression:
After completing the MSc Generative Artificial Intelligence, students can continue their studies through doctoral research such as a PhD in Artificial Intelligence, Machine Learning, Data Science, or Computer Science. Graduates interested in advanced research can explore opportunities within universities, research institutes, and technology organisations working on the next generation of AI innovations.