Computer Science MSc
Awards: MSc
Study modes: Full-time, Part-time
Funding opportunities
Programme website: Computer Science
Edinburgh's long-established expertise in core computer science is recognised internationally and spans the range from computer architecture to theoretical computer science.
This master's degree offers you the opportunity to obtain specialist knowledge in the design, analysis, implementation, and use of computer systems ranging from the components of a single processor to computer networks as vast as the Internet.
You can also pursue a more theoretical direction by choosing courses in areas such as:
- algorithms
- programming languages
- cryptography
- quantum informatics
The programme provides a solid foundation in theoretical understanding and a wide variety of practical techniques applicable in many career settings.
Reputation
The University of Edinburgh consistently ranks top 30 globally for Computer Science.
The Research Excellence Framework (REF) 2021 ranked our School 1st in the UK for research power in Computer Science and Informatics. This means you will learn from experts at the forefront of their fields, undertaking cutting-edge research in a wide range of areas.
Environment
You will be part of a large, vibrant department with around 1,750 students across undergraduate, master’s and research programmes and 150 academic staff.
You will study in the heart of Edinburgh city centre, regularly voted as one of the most desirable places to live in the world, and one of the UK’s fastest-growing tech hubs.
You will follow two taught semesters of lectures, tutorials, project work and written assignments (September to May). During this time you will also learn research methods (such as literature review and project planning) to prepare for your final project and dissertation, which is completed during the summer.
Courses
Around half your taught course credits must be chosen from areas in core computer science (foundations and systems). Course offerings follow the main research areas of our staff, which include:
- parallelism and distributed systems
- security and privacy
- programming languages
- theoretical computer science
- quantum informatics
Example courses offered recently in computer science foundations and systems include:
- Advanced Databases Systems
- Blockchains and Distributed Ledgers
- Computational Complexity
- Computer Networking
- Distributed Systems
- Internet of Things: Systems, Security, and the Cloud
- Introduction to Quantum Computing
- Parallel Programming Languages and Systems
- Secure Programming
For your remaining courses, you may choose further options from foundations and systems or from a wide range of courses offered in other areas of Informatics, including:
- artificial intelligence
- software engineering
- social and biological computation
Guidance is provided to help you choose a set of courses that work well together, giving you specialised expertise in your chosen area.
Please note: This degree has flexible course options. Students are only admitted onto the degree if they will have a viable set of options, but not all courses on offer are appropriate for all admitted students. The School of Informatics offers a wide selection of courses, but not all optional courses are guaranteed to run every year, and a few high-demand courses may limit enrollment to students on the most relevant degree(s).
Project
The project is an essential component of the master's degree. It is a substantial piece of full-time independent work supervised by a member of teaching staff.
You will have prepared for your research project in semester 2. The project is undertaken over the summer months, culminating in the submission of a dissertation.
Students typically choose from a wide range of projects proposed by our academic staff. Students who are sponsored by or have close contact with an industrial company may wish to undertake a project which relates to that company’s activities. Students who self-propose topics (including those in conjunction with industry) must find an interested supervisor from the School of Informatics.
Part-time study
Those studying the two-year part-time option take half of the taught credits in their first year, and the other half in the second year, followed by full-time work on the final project in the summer at the end of the second year.
There is also a three-year part-time option which spreads the final project over a third year.
Both options require flexibility during the semesters: our large course offering means that taught courses have contact times at irregular hours throughout the whole week.
Delivery
This is an in-person programme, and we expect you to be in Edinburgh.
Courses are taught on campus, both full-time and part-time, during teaching hours (currently 9am-7pm) Monday – Friday. To succeed, you will need to maintain a consistent level of study each week.
Students are expected to stay in Edinburgh for the duration of their degree programme. This includes during the writing of the dissertation until the submission deadline.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
Award | Title | Duration | Study mode | |
---|---|---|---|---|
MSc | Computer Science | 1 Year | Full-time | Programme structure 2024/25 |
MSc | Computer Science | 2 Years | Part-time | Programme structure 2024/25 |
MSc | Computer Science | 3 Years | Part-time | Programme structure 2024/25 |
Through this programme you will develop specialist, advanced skills in the development, construction and management of advanced computer systems.
You will gain practical experience and a thorough theoretical understanding of the field making you attractive to a wide range of employers or preparing you for further academic study.
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
Edinburgh Innovations – start-up opportunities
We have fantastic resources through the University’s commercialisation service, Edinburgh Innovations, to help you successfully nurture your entrepreneurial ideas and launch your own enterprise.
Career development through societies
Our active student societies, such as CompSoc and Hoppers, offer skills building, networking and industry events.
Recent speakers include:
- Spotify
- Amazon
- Meta
Find out more about CompSoc and Hoppers:
Careers Service
Our award-winning Careers Service plays an essential part in your wider student experience at the University, providing:
- tailored advice
- individual guidance and personal assistance
- internships and networking opportunities (with employers from local organisations to top multinationals)
- Events such as the annual Careers in Tech and Data Fair, giving you opportunities to meet recruiters actively looking to recruit our students
- access to the experience of our worldwide alumni network
We invest in your future beyond the end of your degree. Studying at the University of Edinburgh will lay the foundations for your future success, whatever shape that takes.
Hear from our Alumni
You will be based in the School of Informatics’ main teaching building, Appleton Tower. The building provides purpose-built facilities and dedicated learning and teaching spaces, all located in the University's Central Area.
IT facilities include computer labs with more than 250 high-spec machines and comprehensive support provided by dedicated computing staff.
In the project phase you will also have access to Appleton Tower's floor 9 (accessed only by master's students at this time) which has computing labs, private study spaces and beautiful panoramic views across Edinburgh.
The Informatics Student Experience Team is based within the Student Services in Appleton Tower.
If you take courses from other Schools, these might be delivered in the Nucleus building, on the University's Kings Buildings Campus.
You will have access to the University's facilities across all University sites.
For example:
- libraries
- study spaces (some of which are open 24 hours)
- computing facilities
- social spaces
- leisure facilities
Student Adviser
All students have a named Student Adviser who you can visit in Appleton Tower. The team provide general support and guidance to students who are encountering difficulties with any aspect of University life.
Where appropriate they will liaise with other University Support Services, so they are able to provide the best possible support and advice for you. They can also help with a wide range of administrative and practical issues to do with your degree programme.
Take a virtual tour
Take a closer look at all our facilities on the University’s Virtual Visit site:
These entry requirements are for the 2025/26 academic year and requirements for future academic years may differ. Entry requirements for the 2026/27 academic year will be published on 1 Oct 2025.
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, mathematics, physics or another quantitative discipline.
Entry to this programme is competitive. A typical offer will normally require a UK first class honours degree.
Competence in programming is essential. During your degree you must have completed a programming course in at least one of the following: C/C++, Java, Python, R, Matlab, Haskell, ML.
During your degree you must have completed the equivalent of 60 SCQF credits or 30 ECTS credits of mathematics that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.)
Students from China
This degree is Band B.
International qualifications
Check whether your international qualifications meet our general entry requirements:
English language requirements
Regardless of your nationality or country of residence, you must demonstrate a level of English language competency which will enable you to succeed in your studies.
English language tests
We accept the following English language qualifications at the grades specified:
- IELTS Academic: total 7.0 with at least 6.5 in each component. We do not accept IELTS One Skill Retake to meet our English language requirements.
- TOEFL-iBT (including Home Edition): total 100 with at least 23 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
- C1 Advanced (CAE) / C2 Proficiency (CPE): total 185 with at least 176 in each component.
- Trinity ISE: ISE III with passes in all four components.
- PTE Academic: total 73 with at least 65 in each component. We do not accept PTE Academic Online.
- Oxford ELLT: 8 overall with at least 7 in each component.
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
Degrees taught and assessed in English
We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:
We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries (non-MESC).
If you are not a national of a majority English speaking country, then your degree must be no more than five years old at the beginning of your programme of study.
Find out more about our language requirements:
Deposit
If you receive an offer of admission you will need to pay a deposit to secure your place.
- £1,500 (this contributes towards your tuition fees)
Find out more about tuition fee deposits:
Tuition fees
Award | Title | Duration | Study mode | |
---|---|---|---|---|
MSc | Computer Science | 1 Year | Full-time | Tuition fees |
MSc | Computer Science | 2 Years | Part-time | Tuition fees |
MSc | Computer Science | 3 Years | Part-time | Tuition fees |
Funding for postgraduate study is different to undergraduate study, and many students need to combine funding sources to pay for their studies.
Most students use a combination of the following funding to pay their tuition fees and living costs:
borrowing money
taking out a loan
family support
personal savings
income from work
employer sponsorship
- scholarships
Explore sources of funding for postgraduate study
Scholarships and student funding
You can find funding opportunities, tuition fees and costs of living for prospective UK and international postgraduate students on the University website.
You are also encouraged to undertake your own research into the range of potential scholarships and other funding outside the University for which you may be eligible.
Search for scholarships and funding opportunities:
- Admissions Contact (lines open Mon-Fri 10am-4pm)
- Phone: +44 (0)131 650 5737
- Contact: College of Science & Engineering Admissions Enquiries
- Programme Contact
- Contact: futurestudents@ed.ac.uk
- School of Informatics
- 11 Crichton Street
- Central Campus
- Edinburgh
- EH8 9LE
- Programme: Computer Science
- School: Informatics
- College: Science & Engineering
Applying
Select your programme and preferred start date to begin your application.
MSc Computer Science - 1 Year (Full-time)
MSc Computer Science - 2 Years (Part-time)
MSc Computer Science - 3 Years (Part-time)
Programme start date | Application deadline |
---|---|
8 September 2025 | 31 March 2025 |
Due to high demand on our programmes, the School of Informatics operates an application deadline of 31 March.
We will make a small number of offers to the most outstanding candidates on an ongoing basis, but will hold the majority of applications until the advertised deadline.
Decisions will be made as soon as possible once the deadline has passed. We expect to make the majority of decisions within eight weeks of the deadline.
The deadline may be extended if there are any places remaining on the programme.
Selection Deadlines
Application Deadline | Expected Decision date |
---|---|
31 March | 31 May |
You must submit one reference with your application.
Find out more about the general application process for postgraduate programmes:
Further information
- Admissions Contact (lines open Mon-Fri 10am-4pm)
- Phone: +44 (0)131 650 5737
- Contact: College of Science & Engineering Admissions Enquiries
- Programme Contact
- Contact: futurestudents@ed.ac.uk
- School of Informatics
- 11 Crichton Street
- Central Campus
- Edinburgh
- EH8 9LE
- Programme: Computer Science
- School: Informatics
- College: Science & Engineering