1 Years On Campus Masters Program
The MSc in Applied Artificial Intelligence and User Experience at Abertay University trains students to design AI systems grounded in a deep understanding of human behaviour — combining technical AI/data skills with psychology and user-experience design. This makes it ideal for students from computing, engineering, design or life sciences backgrounds who want to build human-centred AI applications.
Curriculum Structure:
In the (single) year of this Master’s, students study core modules in data and AI techniques, along with psychological and UX-centred courses.
For example, in the module “Human Psychology: Why are we different (PS567)”, students explore what factors shape human behaviour — looking at biological, environmental, and developmental influences, and studying theoretical approaches to human development and individual differences.
In other modules, they learn to apply AI and data-driven methods to understand user behaviour, use applied psychology to inform design decisions, and integrate UX principles into AI system development — combining technical model design with human-centred evaluation and prototyping
Focus areas:
“AI Methods, UX Research, Applied Psychology, Human-Centred Design”
Learning outcomes:
“Design AI solutions grounded in user behaviour; integrate data, psychology, and UX principles; prototype and evaluate AI-based applications.”
Professional alignment:
Addresses UK industry demand for professionals trained in both AI and human-centred design.
Reputation / Employability:
Abertay is noted for pioneering a Master’s combining AI, UX, and psychology, preparing graduates for rapidly growing AI-UX hybrid roles.
Students gain practical skills through hands-on projects in Abertay's user experience labs and computing facilities, applying AI techniques to solve real-world design and interaction challenges. This applied learning is central to the curriculum:
Software: Training in Python with key AI libraries (TensorFlow, Keras, Scikit-learn) and UX tools.
UX Laboratories: Access to Abertay's user testing labs with eye-tracking and biometric sensors.
AI Projects: Practical development of intelligent interfaces and adaptive systems.
Research Project: An individual dissertation focusing on AI applications in user experience.
Industry Focus: Curriculum includes real-world UX challenges and AI integration.
Professional Skills: Emphasis on building portfolio projects demonstrating AI-UX integration.
Graduates of Abertay University's MSc Applied Artificial Intelligence and User Experience master AI techniques, UX research, applied psychology, and data analysis to design user-friendly AI prototypes with ethical considerations for human behavior. The practical focus on projects, group work, and placements equips alumni to meet surging UK/Scottish government demands for AI/UX professionals in digital automation. Typical job roles: UI Designer, AI Architect, Data Scientist, Machine Learning Engineer.
University services: Careers service with CV workshops, placement coordination, and industry networking events.
Employment stats/salary: High demand for junior UX/AI roles; skilled professionals highly paid per IT Jobs Watch.
University–industry partnerships: DataLab scholarships; real-world projects with tech/IoT facilities support.
Long-term accreditation value: First UK MSc blending AI/UX/psychology ensures unique, future-proof skills.
Graduation outcomes: AI development, UX design, research across tech sectors; ethical AI innovation.
Further Academic Progression: Pursue PhD in AI/UX at Abertay, extending independent Master's research project on human-AI interaction.



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