The MSc Human-Centred AI at Newcastle University trains students to develop AI systems that are effective, ethical, and user-focused. It suits computing or data science graduates seeking careers in AI design, UX, or ethical technology development.
Curriculum Structure
Students study core modules like Human-Computer Interaction, Machine Learning with Project, Data Visualization, Human-AI Interaction, and Project and Dissertation in Data Science. These cover user-centered design, ethical AI, data analysis, and applied machine learning, culminating in a substantial independent project. Optional modules such as Advanced AI and Bayesian Methodology allow deeper specialization.
Focus Areas: “Human-centered AI; UX; Machine Learning; Data Visualization; Ethical AI”
Learning Outcomes: “Design ethical AI systems; apply ML techniques; analyze and visualize data; complete an independent human-centered AI project.”
Professional Alignment (Accreditation): Industry-informed curriculum with advisory board input from top AI companies.
Reputation (Employability Rankings): Strong industry connections and high graduate employability in AI and data science.
This programme focuses on designing and building AI systems that are ethical, usable, and effectively augment human capabilities. You will gain practical experience in the University's computing and interaction labs, using specialised software to prototype and evaluate intelligent systems. This hands-on approach is delivered through:
Specialist Usability and AI Labs: You will have access to Newcastle University's Human-Computer Interaction labs, equipped with resources for user studies and evaluating AI system interactions.
Industry-Standard Software and Tools: The curriculum involves practical work with AI development platforms like TensorFlow and PyTorch, alongside design and prototyping tools such as Figma for creating user interfaces for AI systems.
Substantial Individual Project: A core component is a significant research project where you will design, develop, and evaluate a human-centred AI application, addressing a real-world problem.
Practical, Ethics-Focused Modules: Learning emphasises project-based work where you will implement AI solutions that incorporate ethical guidelines and user-centric design principles from the outset.
Graduates of the MSc Human-Centred Artificial Intelligence at Newcastle University are highly sought after for their expertise in designing and applying ethical, user-focused AI solutions across sectors such as technology, healthcare, and digital services. Many secure roles in innovative companies leading AI research or develop impactful systems that prioritize people’s needs, reporting strong employment rates and positive career mobility:
Newcastle’s Careers Service provides tailored support including AI-focused career fairs, employer networking, industry project placements, and specialist workshops on CVs, interviews, and digital portfolios.
Common graduate job roles include AI Engineer, UX Researcher for AI Products, Data Scientist, and Human-Computer Interaction Specialist.
Employment rates for relevant AI programs at Newcastle are consistently above 90%, with average starting salaries ranging from £32,000 to £48,000; top employers include Google, Microsoft, Amazon, and regional digital health startups.
The university boasts partnerships with organisations such as the UK’s National Innovation Centre for Data, The Alan Turing Institute, and industry leaders like Microsoft and BBC, providing students with real-world projects and research opportunities.
The program’s applied focus and the recognition from AI industry bodies ensure that graduates benefit from long-term accreditation value and professional credibility worldwide.
Graduates report strong outcomes in designing user-centric AI applications, mastering machine learning, natural language interfaces, and navigating ethical and societal challenges in AI.
Further Academic Progression:
Graduates can pursue PhDs in Human-Centred AI, Human-Computer Interaction, Machine Learning, or Data Science at top universities in the UK or worldwide. Other options include research roles in interdisciplinary labs, or professional doctorates in applied AI, as well as participation in collaborative projects with leading AI research institutes.



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