Overview
The central premise of design informatics 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.
The Design Informatics programme focuses on providing foundational skills on the integration of design thinking and data science with an emphasis on exploring the role of data-driven technologies in society and the potential of such technologies to be a social good. Students are supported to develop an ethically aware, critically reflective technical practice at the interface between data and society by combining theory and research with an open-ended process of making and hacking.
Career opportunities:
This degree will put you at the cutting edge of the intersection between data science, design, and information technology.
This will open a host of opportunities in working with companies, charities, and the public sector. We encourage entrepreneurship.
For those who wish to deepen their research practice, the course provides a solid foundation for a PhD in related areas.
Start-ups and spinouts
The University of Edinburgh has a long track record of start up companies and innovations, including key players in the industry set up by Informatics master’s alumni:
FanDuel, a unicorn company
Robotical
RISE Nutrition
Carbon Glance
Predictiva
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Design Informatics: Histories and Futures
- Data Science for Design
- Case Studies in Design Informatics
- Design with Data
- Masters Dissertation
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
We encourage you to apply at least one month prior to entry so that we have enough time to process your application.
Language
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Credits
Delivered
Campus Location
- Edinburgh, United Kingdom
Disciplines
Information Technology (IT) Web Technologies & Cloud Computing Machine Learning View 80 other Masters in Machine Learning in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A UK 2:1 honours degree, or its international equivalent, in computer science, informatics, artificial intelligence, physics, engineering, psychology, philosophy, linguistics, or neuroscience.
- Your application should show evidence of solid computer programming skills in a programming language; HTML and web design do not count, but relevant mathematical and statistical scripting languages such as R and Matlab do. This evidence can be either a certificate in a relevant MOOC, or a course in programming that you have successfully passed. If your degree involves a final project, your mark in that project should be a B or higher.
- Your personal statement should discuss why you are interested in the programme, as outlined above and on the Centre for Design Informatics web site, your background or interest in design, art, and information visualisation, and your relevant programming skills.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents45410 GBP / year≈ 45410 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents18000 GBP / year≈ 18000 GBP / year
Living costs
Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme website
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Scholarships Information
Below you will find Master's scholarship opportunities for Design Informatics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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