School of Informatics

Taught MSc degrees

We offer seven taught Masters (MSc) programmes.

Due to high demand, our programmes* operates a number of selection deadlines. We will make a small number of offers to the most outstanding candidates on an ongoing basis, but hold the majority of applications until the next published selection deadline.

Applicants who are not made an offer at a specific selection deadline will either be notified that they have been unsuccessful in securing a place on the programme, or if they do not hear then they are still being considered and their application will be carried forward to the next selection deadline for further consideration at that time.

*This excludes Design Informatics.

Details of our programmes and how to apply can be found on degree finder.

Degree Finder

For more detailed structure, you can view the Degree Programme Table for each programme. Please note, only information for 2018 Entry is available until April 2019.

Degree Programme Table

Selection deadlines

Round Deadline
1 31st March 2020

Our MSc programmes

Informatics MSc   This programme builds on our interdisciplinary strengths, emphasising the study of computation in natural systems (e.g., biological or social systems), and supporting these areas with courses in other areas of computer science and artificial intelligence.
Advanced Technology for Financial Computing   This new programme will provide you with a critical and practical appreciation of how data, computing and artificial intelligence technologies can be used and developed to deliver value in organisations with finance, risk and decision-making related digitalisation from both technology and business perspectives.
Artificial Intelligence MSc   AI research is interdisciplinary by nature and draws on neuroscience, cognitive science, linguistics, computer science, mathematics and statistics, psychology.

Cognitive Science MSc

  Cognitive Science investigates human cognitive functions such as perception and action, memory and learning, language and communication, reasoning and problem solving.

Computer Science MSc

  The scope of Computer Science ranges from the design of programming languages and algorithms, to models of computation, such as distributed, parallel and quantum computing, and the study of the limits of computation. 

We also offer specialist area courses in computer security.

Cyber Security, Privacy and Trust MSc

  Cyber security and privacy is the study of the computational principles, methods and mechanisms for safe-guarding these sensitive applications. Graduates of the programme will learn how to evaluate, design, and implement secure and trustworthy systems in complex distributed systems.
Data Science MSc   Data science is the study of the computational principles, methods, and systems for extracting knowledge from data. Large data sets are now generated by almost every activity in science, society, and commerce.

Design Informatics MSc

  Students are given an understanding of how to build computational systems as well as being taught the relevant principles of design thinking and making.

Advanced Design Informatics MSc

  Students are given an advanced understanding of how to build computational systems as well as being taught the relevant principles of design thinking and making - Two year programme.


Related masters programmes

We also collaborate on the following MSc programmes:

Data Science

Data Science, Technology and Innovation (Online Learning)

This online learning programme in Data Science, Technology and Innovation is intended to allow different points of entry into the world of data science (across sciences, medicine, arts and humanities). Drawing on cutting-edge educational content from a broad range of contributing disciplines, this programme provides a deeper knowledge through domain experience as well as through instruction in technology, concentrating on active uses of data research.

Courses offered by the School of Informatics are: Advanced Vision, Introductory Applied Machine Learning, Introduction to Practical Programming with Objects, Natural Computing, Performance Modelling, Practical Introduction to High Performance Computing and Practical Introduction to Data Science.

Data Science Technology and Innovation website

Edinburgh Parallel Computing Centre (EPCC)

MSc in High Performance Computing (HPC)  



Taught by the Edinburgh Parallel Computing Centre (EPCC), one of the leading supercomputing centres in Europe, these two MSc programmes have a strong practical focus and provide access to leading-edge HPC systems such as ARCHER, the UK national supercomputer. They will appeal to students who have an interest in programming and would like to learn more about HPC, parallel programming and Data Science.

MSC in High Performance Computing with Data Science  

Edinburgh Parallel Computing Centre website


MSc in Speech and Language Processing   The School of Philosophy, Psychology and Language Sciences (PPLS) offer a one year MSc in Speech and Language Processing.


MSc in Imaging   The University also offers online distance learning courses in Imaging.

Potential new interdisciplinary Masters programmes with Edinburgh Futures Institute

The University's Edinburgh Futures Institute is looking for feedback to help develop their portfolio of highly flexible, interdisciplinary, data-focused and project-led taught postgraduate programmes. They welcome your feedback to help shape the content and structure of these programmes by completing a survey for a proposed programme in the following areas:

Creativity: Storytelling Futures

Education Futures

Future Democracy/Governance

Building Inclusive Societies

Future Sustainability

Design Futures

We invite you to share your thoughts on the early ideas for these programmes, to help make them as exciting and relevant as possible.

Further information