MSc Human Centred Artificial Intelligence

The MSc Human-Centred Artificial Intelligence at the University of Exeter offers a practical and research-driven learning experience that combines artificial intelligence development with human-focused design principles. Students build hands-on skills through programming exercises, machine learning applications, data analysis activities, research projects, and access to specialist computing facilities. With teaching from experts in artificial intelligence, machine learning, and responsible technology development, students gain experience in creating AI systems that are technically effective while also considering user needs, ethics, and social impact.

Students develop practical expertise through specialist facilities, technical tools, collaborative activities, and research opportunities:

• Programming and AI development skills: Through modules such as Programming with Python, Machine Learning, Introduction to Data Science, and Learning from Data, students gain practical experience in programming, analysing data, and developing AI models.

• Human-centred AI design projects: Modules including Foundations of Human-Centred AI and Design Methods for Human-Centred AI help students understand how to design AI systems that focus on user experiences, ethical considerations, and real-world applications.

• Independent research experience: The Research Project module allows students to investigate a specialised area of human-centred AI, applying technical knowledge and research methods to address current AI challenges.

• Lovelace Computer Lab: Students benefit from the University of Exeter’s dedicated computing facilities, including the Lovelace Computer Lab, which provides a modern environment for programming, software development, and practical computer science activities.

• Babbage Computer Lab: The Babbage Computer Lab supports collaborative learning through teaching spaces and project areas where students can work on technical exercises and group activities.

• AI and robotics research facilities: Students can engage with research facilities supporting artificial intelligence development, including robotics equipment, robotic arms, swarm robotics systems, virtual reality technology, and specialist tools used in AI research.

• High-performance computing resources: Students have access to advanced computing infrastructure that supports complex data analysis, AI experiments, and computational research projects.

• Research and industry engagement: Students learn from academics, researchers, technical specialists, and industry professionals, gaining insights into current AI developments and professional applications of artificial intelligence.

• Collaborative learning environment: The programme encourages teamwork and interdisciplinary collaboration, allowing students from different backgrounds to work together on AI challenges involving technology, society, ethics, and user needs.

The MSc Human-Centred Artificial Intelligence at the University of Exeter prepares graduates with the technical expertise, analytical skills, and understanding of human needs required to develop responsible and effective AI solutions. As artificial intelligence continues to expand across industries, graduates can pursue careers in technology, healthcare, finance, research, and other AI-driven sectors. Potential career roles include AI specialist, machine learning engineer, data scientist, AI product manager, AI ethics consultant, software engineer, and research scientist.

The programme supports students’ career development through specialist university services, industry connections, and opportunities to build professional experience:

• Career support from University of Exeter Career Zone: Students have access to personalised career guidance, employability workshops, career planning support, application advice, interview preparation, employer events, and resources to help them successfully move into professional roles.

• Access to employer networks and opportunities: Through the University’s career platforms and events, students can connect with employers, explore job opportunities, develop workplace skills, and gain insights into different career pathways within artificial intelligence and technology sectors.

• Graduate career opportunities: The programme prepares students for roles across industries such as technology, healthcare, finance, education, manufacturing, and research, where expertise in AI, machine learning, data science, and responsible technology development is increasingly valued.

• Industry-relevant AI expertise: Students graduate with knowledge of artificial intelligence, machine learning, generative AI, data analysis, and human-centred design approaches, giving them the ability to create AI systems that are both technically effective and socially responsible.

• Research and innovation pathways: The programme provides a strong foundation for graduates interested in AI research, allowing them to explore emerging technologies and contribute to developments in areas such as responsible AI, robotics, human-computer interaction, and data-driven solutions.

• Long-term career value: The combination of technical AI skills and knowledge of ethics, user needs, and responsible innovation gives graduates a strong advantage in a rapidly growing AI sector where organisations increasingly require professionals who can develop human-focused technologies.

• Continued employability support: University of Exeter graduates can continue accessing career support and resources after completing their studies, helping them with ongoing professional development and career progression.

Further Academic Progression:
After completing the MSc Human-Centred Artificial Intelligence, students can continue their studies through a PhD or research-based programme in areas such as artificial intelligence, machine learning, robotics, human-computer interaction, data science, responsible AI, or computer science. Graduates may also enhance their expertise through specialist AI training, professional certifications, and research collaborations with academic institutions or technology organisations.