Program Overview:
The MSc Human-AI Interaction at Brunel University London prepares students to design and evaluate intelligent systems that integrate artificial intelligence with human-centred design and user experience principles. It suits graduates who want to work at the intersection of AI, UX, HCI, data visualisation and ethical technology development.
Curriculum structure
Students begin with Human-AI Interaction, a core module that introduces design frameworks, interaction models and evaluation techniques for understanding how people engage with AI systems. They then move into Interactive AI Development and Applications and Data Visualisation, where they learn programming for AI interfaces, prototype interactive systems, and create visualisations that help users interpret AI outputs. Later, Ethics and Governance of Digital Systems provides grounding in responsible AI, covering fairness, transparency, privacy and accountability in user-facing AI design. The programme ends with a Master’s Project, allowing students to build a full human-centred AI system or conduct applied research combining AI, UX, HCI and ethical practice.
Focus areas: “Human-AI Interaction, Interactive AI Development, Data Visualisation, Human-Computer Interaction, AI Ethics & Governance, UX for AI Systems”
Learning outcomes: “Design AI-driven interfaces; build and prototype interactive AI systems; apply data-visualisation techniques; evaluate usability and user experience; integrate ethical principles into AI design; complete an applied AI/HCI project.”
Professional alignment (accreditation): Prepares graduates for roles such as AI product designer, UX/AI researcher, interaction designer, AI systems developer, or AI ethics and governance specialist.
Reputation (employability rankings): Brunel has strong international standing in computing and design, supporting excellent employability for graduates entering emerging AI-focused UX, design and technology roles.
Students gain practical skills through project-based learning in Brunel's high-performance computing environment and specialist AI labs, applying techniques to real-world problems in areas like finance, healthcare, and smart cities. The programme emphasises both theoretical understanding and practical implementation, with access to the University's dedicated computing infrastructure and research centres. This applied learning is central to the curriculum and is delivered through:
Core Software & Programming: Intensive use of Python and key AI libraries and frameworks, including TensorFlow, Keras, PyTorch, and Scikit-learn.
Computing Facilities: Access to Brunel's High-Performance Computing (HPC) cluster, providing GPU resources for training complex AI models.
Research Project: A substantial individual MSc dissertation project, often with an applied focus, allowing for deep specialisation in a chosen AI domain.
Group Projects: Collaborative team-based projects focused on designing and building complete AI systems to solve specific, complex problems.
Digital Tools & Platforms: Use of industry-standard tools for version control (e.g., Git) and collaborative development.
Graduates of the MSc Human-AI Interaction at Brunel University secure roles as AI engineers, UX/AI researchers, product designers, and generative AI specialists, ready for human-centric tech innovation.
University's careers support includes "Made in Brunel" events, workshops, and industry guest lectures for networking.
Graduates enter AI/UX roles with UK salaries around £35,000–£50,000.
Partnerships via alumni and industry leaders provide practical project exposure.
Program builds ethical AI skills for long-term industry recognition.
Outcomes emphasize intuitive AI design and real-world impact.
Further Academic Progression: Graduates can pursue PhDs in AI, HCI, or data science, leveraging dissertation research and technical expertise



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