MSci Artificial Intelligence

4 Years On Campus Bachelors Program

University of Exeter

Program Overview

The MSci Artificial Intelligence at the University of Exeter is designed for students who want to develop advanced expertise in artificial intelligence, machine learning, and data-driven technologies while understanding how AI can be applied to solve real-world challenges. This integrated master’s programme combines computer science, mathematics, and AI principles, allowing you to explore areas such as machine learning, natural language processing, computer vision, and intelligent systems through advanced study, practical projects, and research-led learning. 

Curriculum Structure

Year 1
The first year introduces the essential concepts of computer science, programming, mathematics, and artificial intelligence, building the foundation needed for advanced study. You will study modules such as Fundamentals of Machine Learning, Programming, and Object-Oriented Programming, alongside areas including Data Structures and Algorithms and Computational Mathematics to develop your technical and analytical abilities.

Year 2
In the second year, you will expand your knowledge of AI technologies and strengthen your software development skills through practical applications. Modules such as Machine Learning and Data Science, Artificial Intelligence and Applications, Software Development, and Team Project will help you apply AI techniques, develop intelligent solutions, and gain experience working collaboratively on technical challenges.

Year 3
The third year focuses on advanced AI concepts and allows you to explore specialist areas while developing independent research skills. You will complete the Individual Literature Review and Project and study advanced topics through modules such as Computer Vision, Probabilistic Machine Learning, Foundations of Human-Centred AI, Data Science at Scale, and High-Performance Computing, enabling you to tailor your learning towards your interests.

Year 4
The final year provides master's-level study focused on advanced AI applications, research, and innovation. You will complete the Group Development Project and Individual Research Project, while exploring specialist modules such as Deep Learning, Generative AI Applications, Large Language Models and Applications, AI in Healthcare, and AI in Environment, preparing you for specialist roles or further research opportunities.

Focus Areas

Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Science, Generative AI, Large Language Models, Human-Centred AI, Intelligent Systems, Algorithms, Programming, Software Development, High-Performance Computing, AI Ethics, Research and Innovation

Learning Outcomes

Develop advanced knowledge of artificial intelligence principles, design and implement machine learning models, apply programming and computational techniques to solve complex problems, analyse and interpret data, develop AI-driven solutions, understand the ethical and social impact of AI technologies, conduct independent research, collaborate on advanced technical projects, communicate AI concepts effectively, prepare for specialist careers in artificial intelligence and related fields

Professional Alignment (Accreditation)

The MSci Artificial Intelligence programme provides advanced master's-level knowledge and skills in artificial intelligence, computer science, and related technologies. While the programme page does not list a specific professional accreditation, it develops specialist technical expertise that aligns with careers in artificial intelligence, machine learning, software engineering, data science, and research.

Reputation (Employability Rankings)

  • The University of Exeter provides students with access to advanced computing facilities and specialist learning environments to support AI development, programming, and research activities.

  • The programme is delivered within a research-led environment, allowing students to learn from academics working in areas such as artificial intelligence, machine learning, data science, optimisation, and visualisation.

  • The integrated master’s qualification provides advanced expertise that helps graduates compete for specialist roles in the rapidly growing artificial intelligence and technology sectors.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Exeter, the MSci Artificial Intelligence programme combines advanced AI theory with practical experience, helping students apply artificial intelligence concepts to real-world challenges. You will develop hands-on skills in areas such as machine learning, computer vision, natural language processing, data science, and high-performance computing through research-led teaching, practical projects, and access to modern computing facilities. The programme encourages collaboration, independent research, and technical problem-solving, giving you the practical experience needed to build a successful career in AI and emerging technologies:

  • Access high-specification computer science laboratories and dedicated student spaces designed to support AI development, programming, collaborative learning, and research activities.

  • Use the Babbage and Lovelace Computer Labs, which provide collaborative environments with project spaces, shared display systems, and facilities that encourage teamwork and discussion.

  • Develop practical AI skills through modules and projects focused on machine learning, natural language processing, computer vision, data science, and intelligent systems.

  • Complete the Group Development Project in the final year, where you work with other students to design and develop advanced AI solutions.

  • Undertake the Individual Research Project, allowing you to explore a specialist AI topic under academic guidance and apply research methods to complex problems.

  • Work with advanced computing resources, including High Performance Computing (HPC) infrastructure, to support AI modelling, simulations, and computational research.

  • Gain experience using different computing environments, including Linux suites, Mac suites, Raspberry Pi platforms, and 3D visualisation facilities for programming, experimentation, and project development.

  • Build programming and AI implementation skills through practical coursework using modern computing environments and technical tools available within the Computer Science facilities.

  • Learn from researchers working in areas such as artificial intelligence, machine learning, data science, optimisation, visualisation, and high-performance computing through a research-led teaching approach.

  • Benefit from Exeter’s investment in AI and data science through Project ADA, which supports AI research, teaching expertise, and the development of specialist facilities.

  • Access the University’s digital learning resources and library services to support coursework, independent research, and AI project development.

  • Gain awareness of real-world AI applications through Exeter’s research environment and connections with technology-focused organisations and industry networks.

Progression & Future Opportunities

The MSci Artificial Intelligence programme at the University of Exeter prepares graduates for careers in one of the fastest-growing areas of technology by developing advanced skills in machine learning, computer vision, natural language processing, data science, and AI ethics. Graduates can move into roles such as AI Research Scientist, Machine Learning Engineer, Data Scientist, Robotics Engineer, and AI Solutions Architect, with opportunities across industries including healthcare, finance, robotics, sustainability, and technology. By combining advanced technical knowledge with practical projects and research experience, the programme helps students develop the expertise needed to design and implement intelligent systems in real-world environments:

  • Benefit from the University of Exeter’s Career Zone, which provides one-to-one career guidance, career planning support, employer events, skills workshops, application advice, and resources to help students prepare for graduate employment.

  • Receive support in exploring opportunities within technology-focused sectors, including guidance on finding graduate roles, internships, and career pathways in areas such as artificial intelligence, data science, and machine learning.

  • Develop industry-relevant expertise through advanced study of machine learning, robotics, computer vision, data science, and AI ethics, preparing you for roles where intelligent technologies are transforming industries.

  • Learn from leading AI and data science researchers through Project ADA, the University’s major investment in artificial intelligence and data science expertise.

  • Benefit from Exeter’s collaboration with The Alan Turing Institute, providing links to the UK’s national institute for data science and artificial intelligence research.

  • Build knowledge applicable to industries such as healthcare, finance, logistics, robotics, sustainability, and technology, where demand for AI specialists continues to grow.

  • Graduate with an integrated master’s qualification that demonstrates advanced expertise in artificial intelligence, supporting progression into specialist technology careers, research roles, and further academic study.

  • The University does not publish programme-specific employment statistics or salary figures for MSci Artificial Intelligence graduates; however, it highlights strong demand for AI specialists and the reputation of Exeter graduates among leading employers.

  • Graduates can pursue careers such as AI Research Scientist, Machine Learning Engineer, Data Scientist, Robotics Engineer, AI Solutions Architect, Software Engineer, Research Engineer, Computer Vision Engineer, Natural Language Processing Engineer, and AI Consultant.

Further Academic Progression:

After completing the MSci Artificial Intelligence programme, graduates can continue their studies through advanced research degrees such as a PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or related fields. The master’s-level qualification provides a strong foundation for students interested in academic research, AI innovation, advanced technology development, and research-focused roles within industry.

Program Key Stats

£31,200
£9,790
£ 34
Sept Intake : 14th Jan


68 %
No

Eligibility Criteria

AAA - AAB
NA
36 - 34
80

NA
NA
6.5
90

Additional Information & Requirements

Country Requirements

Career Options

  • AI Research Scientist
  • Machine Learning Engineer
  • Data Scientist
  • Robotics Engineer
  • AI Solutions Architect
  • Software Engineer
  • Research Engineer
  • Computer Vision Engineer
  • Natural Language Processing Engineer
  • AI Consultant
  • Artificial Intelligence Specialist

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