Design Informatics combines Data Science with Design Thinking in a context of critical enquiry and speculation. We build a value-aware, reflective practice at the interface between data and society by combining theory and research with an open-ended process of making and hacking.
Human activity is being constantly shaped by the flow of data and the intelligences that process it, moving towards an algorithmically mediated society. Design Informatics asks how we can create products and services within this world, that learn and evolve, that are contextualised and humane. Beyond that, it asks questions about what things we should create, speculating about the different futures we might be building and the values behind them.
The central premise is that data is a medium for design: by shaping data, we shape the world around us. Data Science provides the groundwork for this, with Design Thinking underpinning reflective research through design. You will use this in working with the internet of things and physical computing, machine learning, speech and language technology, usable privacy and security, data ethics, blockchain technologies. You will connect technology with society, health, architecture, fashion, bio-design, craft, finance, tourism, and a host of other real world contexts, through case studies, individual, and collaborative projects. You will understand user experience in the wider socio-cultural context, through an agile programme of hacking, making and materialising new products and services.
Please be aware that the structure of the programme may change.
Throughout the programme, you will be working both individually and in teams of designers and computer scientists. Everyone will have to write code during the course, and everyone will have to make physical objects. Several courses, including the dissertation, will involve presenting the artefact, product, service, or interactive experience that you have created to the general public in a show.
In the first year, you will study:
Design Informatics: Histories and Futures
Data Science for Design (compulsory for MA/MFA, strongly recommended for MSc/ Advanced MSc)
Case Studies in Design Informatics 1
Design with Data
Design Informatics Project
20 credits of elective courses
In Design with Data and Design Informatics Project, you are likely to work with an external partner, such as the Royal Bank of Scotland, Amazon, Edinburgh City Council, Royal Botanic Garden Edinburgh or the National Museum of Scotland.
MSc and MA students then undertake a dissertation in the summer before graduation.
MFA and Advanced MSc students take a summer placement with a relevant digital organisation then return for a second year of study, comprising:
Case Studies in Design Informatics 2
60 credits of elective courses
Elective courses are drawn from the Masters Programmes of the School of Informatics, Edinburgh College of Art, and Philosophy, Psychology, and Language Sciences. Courses are typically 10 or 20 credits.
This degree will put you at the cutting edge of the intersection between data science, design, and information technology, opening a host of opportunities in working with companies, charities, and the public sector. We encourage entrepreneurship. For those who wish to stay in academia, the course provides a solid foundation for a PhD in related areas.