Programme Overview
Learn to design and interrogate AI systems with a clear understanding of human behaviour. With the dependence on digital automation and remote working greater than ever, there is a huge demand for professionals with skills in Artificial Intelligence (AI) and User Experience (UX).
We are the first UK university to offer a Master's degree bringing together AI, UX Research and Applied Psychology. As well as gaining a thorough understanding of Data and AI techniques, you'll explore theoretical concepts with practical applications.
We teach you how to:
- Apply Psychology and AI principles.
- Enrich the design of AI solutions through good practice UX.
- Use Data, AI and Applied Psychology to inform the design of prototypes.
Using data and AI to acquire deeper insights into human behaviour and psychology, you'll also focus on the ethical responsibilities of developing AI applications.
This course has a practical focus, and features projects and group work as well as work placements where possible.
When you graduate, you’ll have a solid grounding in Data and AI techniques along with specialist knowledge and skills in Psychology and UX. Our aim is to create the next generation of AI talent, who recognise the role of human behaviour in technology use. Both the UK and Scottish Governments have urgently called for an increase in Data and AI skills, and the need for talented AI professionals at all levels is growing every year.
To apply you’ll need scripting expertise and an undergraduate degree in Engineering, Computing, Game Design and Development, Physical, Natural, Life or Biological sciences.
Don't forget to check the Scholarships section below. The Data Lab, Scotland's Innovation Centre for Data and AI, have six fee-paying scholarships for this MSc for 2023-24.
How the Course Works
Full-time on campus students will complete the degree in one year: The academic year consists of three terms with the Master's project module completed in term 3.
Part-time on campus students will complete the degree in two years: Year 1 consist of two terms, and Year 2 of three terms with the Master's project module completed in the final term.
The Master’s project is an independent research project under guidance of supervisors.
Learning
Most modules will be assessed through practice-based coursework. This includes project work and student-led presentations as well as workplace-simulation group projects. Some modules use a mixture of coursework and formal examination.
Learning and assessment by theme
AI and UX: Strongly practice-based, making use of assessment by project and professional discussions.
Data science: Lab-based practicals and workplace simulation group project.
Psychology modules: Assessed through project-based work, with emphasis on research design and analyses.
Lectures may be used to present key concepts, theories and techniques. Tutorials and laboratory-based activities increase your understanding of the subject and develop your competence and confidence in technological and theoretical work.
Throughout your course, you’ll be required to actively participate in group work, discussions, seminars, and private study.
Assessment
The taught course will be assessed using a combination of written coursework, presentations, examinations and portfolios, with a written dissertation at MSc level.
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