university college london computer science phd

Computer Science (4 Year Programme) MPhil/PhD

London, Bloomsbury

The PhD programme in UCL Computer Science is a 4-year programme, in which you will work within research groups on important and challenging problems in the development of computer science. We have research groups that cover many of the leading-edge topics in computer science , and you will be supervised by academics at the very forefront of their field.

UK tuition fees (2024/25)

Overseas tuition fees (2024/25), programme starts, applications accepted.

• Entry requirements

A UK Master's degree in a relevant discipline with Merit, or a minimum of an upper second-class UK Bachelor's degree in a relevant discipline, or an overseas qualification of an equivalent standard. Work experience may also be taken into account.

The English language level for this programme is: Level 1

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

If you are intending to apply for a time-limited visa to complete your UCL studies (e.g., Student visa, Skilled worker visa, PBS dependant visa etc.) you may be required to obtain ATAS clearance . This will be confirmed to you if you obtain an offer of a place. Please note that ATAS processing times can take up to six months, so we recommend you consider these timelines when submitting your application to UCL.

Equivalent qualifications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website .

International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

On this PhD programme, you will work within research groups on challenging computer science projects.

Our research groups cover leading-edge topics , and our academics are at the forefront of their field.

The research groups, the department , and the college, provide numerous opportunities to learn more about your field and the skills required to develop your research and future careers.

Who this course is for

This programme is best suited for people wishing to embark on an academic career, as well as those interested in finding work in industry. You will be assigned a first and second supervisor, who will guide you in the development of your research project and your abilities as a researcher. The research groups, the department, and the college, provide numerous opportunities for you to learn more about your field (e.g. seminars, conferences, and journal clubs) and the skills required for you to develop your research and future careers (e.g. training courses). Many of our students have had their research results published and recognised at leading international conferences during their time on the PhD programme.

What this course will give you

UCL is ranked 9th globally in the latest QS World University Rankings (2024), giving you an exciting opportunity to study at one of the world's best universities.

UCL Computer Science is recognised as a world leader in teaching and research. The department was ranked first in England and second in the UK for research power in Computer Science and Informatics in the most recent Research Excellence Framework ( REF2021 ). You will learn from leading experts with an outstanding reputation in the field. 

Code written at UCL is used across all 3G mobile networks for instant messaging and videoconferencing; medical image computing has led to faster prostate cancer diagnosis and has developed tools to help neurosurgeons avoid damaging essential communication pathways during brain surgery; and our human-centred approach to computer security has transformed the UK government's delivery of online security.

This MPhil/PhD in Computer Science is a research degree programme that will not only challenge and stimulate you, but also has the potential to lead to a varied and interesting career and introduce you to valuable contacts in academia and the industry.

The foundation of your career

Your employability will be greatly enhanced by working alongside world-leading researchers in cutting-edge research areas such as virtual environments, networked systems, human-computer interaction and financial computing. UCL's approach is multi-disciplinary and UCL Computer Science shares ideas and resources from across all departments of Faculty of Engineering Sciences and beyond. Our alumni have a successful record of finding work, or have founded their own successful start-up companies, because they have an excellent understanding of the current questions which face industry and have the skills and the experience to market innovative solutions.

Employability

UCL Computer Science graduates secure careers in a variety of organisations, including global IT consultancies, City banks and specialist companies in manufacturing industries.

The department takes pride in helping students in their career choices and offers placements and internships with numerous start-up technology companies, including those on Silicon Roundabout, world-leading companies such as Google, Skype and Facebook, and multi national finance companies, including Morgan Stanley, Deutsche Bank and JP Morgan.

Our graduates secure roles such as applications developers, information systems managers, IT consultants, multimedia programmers, software engineers and systems analysts in companies such as Microsoft, Cisco, Bloomberg, PwC and IBM.

UCL Computer Science is located in the heart of London and subsequently has strong links with industry. You will have regular opportunities to undertake internships at world-leading research organisations. We frequently welcome industry executives to observe your project presentations, and we host networking events with technology entrepreneurs.

You will also benefit from a location close to the City of London and Canary Wharf to work on projects with leading global financial companies. London is also home to numerous technology communities, for example the Graduate Developer Community, who meet regularly and provide mentors for students interested in finding developer roles when they graduate.

Teaching and learning

You are assigned a first and second supervisor who you will meet regularly. You are also assigned a research group who normally meet regularly for research seminars and related activities in the department.

You will participate in three vivas during the course of your study. These are useful feedback opportunities and allow you to demonstrate your understanding of the literature, your progress in your research and eventually, your final thesis and research. For each viva, you will be expected to produce a detailed report of your work to date and to attend a 'verbal exam' with supervisors and/or external academics/experts.

During your research degree, you will have regular meetings with your primary supervisor, in addition to contact with your secondary supervisor and participation in group meetings. Full-time study should comprise of 40 hours per week .

Research areas and structure

• Bioinformatics: protein structure; genome analysis; transmembrane protein modelling; de novo protein design methods; exploiting grid technology; mathematical modelling of biological processes
• Financial computing: software engineering; computational statistics and machine learning; mathematical modelling
• Human centred systems: usability of security and multimedia systems; making sense of information; human error and cognitive resilience
• Information security: human and organisational aspects of security; privacy-enhancing technologies; cryptography and cryptocurrencies; cybersecurity in public policy and international relations; systems security and cybercrime
• Intelligent systems: knowledge representation and reasoning; machine learning
• Media futures: digital rights management; information retrieval; computational social science; recommender systems
• Networks: internet architecture; protocols; mobile networked systems; applications and evolution; high-speed networking
• Programming Principles, Verification and Logic’: logic and the semantics of programs; automated tools for verification and program analysis; produce mathematically rigorous concepts and techniques that aid in the construction and analysis of computer systems; applied logic outreach in AI, security, biology, economics
• Software systems engineering: requirements engineering; software architecture; middleware technologies; distributed systems; software tools and environments; mobile computing
• Virtual environments: presence, virtual characters; interaction; rendering; mixed reality
• Vision and imaging science: face recognition; medical image analysis; statistical modelling of colour information; inverse problems and building mathematical models for augmented reality; diffusion tensor imaging

Research environment

UCL Computer Science is one of the leading university centres for computer science research in Europe. The department is very well-connected with research groups across the university, and is involved in many exciting multi-disciplinary research projects.

Furthermore, research groups in the department are heavily involved in collaborative research and development projects with other universities and with companies in the UK and internationally. UCL provides significant support for technology transfer, and in particular for technology start-ups, and the department has an increasingly successful record of spin-out companies including a number of spin-outs that have been acquired by Google, Facebook, Amazon, etc.

Month 0 Registration - initially MPhil registration.

Month 0-6 - General reading, directed by the supervisor, in the area of interest. This should bring you up to the sharp end of the area and allow you to appreciate what the research problems are.

Months 6-9 - More detailed reading, aimed at becoming expert enough to tackle a thesis project. A small focused project is in order here to pin the reading on. A report on the year's activities should begin to be prepared.

Month 9 - FORMAL 1ST-YEAR VIVA (10-12 for Part-time) This is the first major examination, and must take place no more than 9 months from the start date. A feedback activity. Given a read of your report, the supervisor, 2nd supervisor and an 'assessor' review the work done with the aim of providing you with proper feedback on your work. This is also a good opportunity to get feedback for the Transfer Viva and is often used as a “mock transfer”.

Months 12-18 - FORMAL TRANSFER VIVA (15-21 for Part-time) Also known as the “Upgrade Viva” - this is where you would upgrade your expected qualification from MPhil to PhD. A substantial project report is expected demonstrating the ability to conduct research, with initial research results, and a plan for completion of the work and writing of the thesis. The outcome of the viva will determine whether you are allowed to transfer registration from MPhil to PhD.

Months 24-36 - Thesis project work being tidied up and turned into a unified piece of work. Thesis writing being planned and chapters being drafted. You are now eligible for Completing Research Status

Month 36 - MOCK VIVA (48-60 for Part-time) A draft thesis and mock viva. This is to be attended by the supervisor, second supervisor and assessor and any others thought relevant. Thesis submission forms (aka Entry forms) completed and submitted.

Months 36-42 - Complete the writing of the thesis.

Month 42 - (60-72 for Part-time) Submit thesis.

See full-time summary

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk . Further information can also be obtained from the UCL Student Support and Wellbeing team .

Fees and funding

Fees for this course.

The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees .

Additional costs

As each research project is unique in nature, the AFE (Additional Fee Element) is calculated on a student-by-student basis and is determined by your academic supervisor. Please contact your supervisor for further details.

A student conference and travel fund is available to students within the department to help with costs associated with attending and presenting at conferences. Applications are considered on a case-by-case basis.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs .

Funding your studies

UCL offers various funding opportunities for postgraduate students. Please see UCL's Scholarships website for more information.

The department offers funding for overseas and UK students. Please see the Computer Science website for more information.

Home students will have the opportunity to apply for EPSRC DTP Studentships where available.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website .

CSC-UCL Joint Research Scholarship

Value: Fees, maintenance and travel (Duration of programme) Criteria Based on academic merit Eligibility: EU, Overseas

Deadlines and start dates are usually dictated by funding arrangements so check with the department or academic unit to see if you need to consider these in your application preparation. All applicants are asked to identify and contact potential supervisors before making an application. For more information see our How to apply page.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2024-2025

Got questions get in touch.

Computer Science

[email protected]

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Computer Science MPhil/PhD

Ucl (university college london), different course options.

• Key information

Course Summary

Tuition fees, entry requirements, university information, similar courses at this uni, key information data source : idp connect, qualification type.

PhD/DPhil - Doctor of Philosophy

Subject areas

Computer Science

Course type

UCL Computer Science has built a reputation as one of the major university centres for applied computer science research in Europe. Because we have some of the top UK research groups in many fields, you will be supervised by academics at the very forefront of computer science, in a wide range of areas.

UCL Computer Science graduates secure careers in a variety of organisations including global IT consultancies, City banks and specialist companies in manufacturing industries. The department takes pride in helping students in their career choices and offers placements and internships with numerous start-up technology companies, including those on Silicon Roundabout, world-leading companies such as Google, Skype and Facebook, and multi national finance companies including Morgan Stanley, Deutsche Bank and JP Morgan. Our graduates secure roles such as applications developers, information systems managers, IT consultants, multimedia programmers, software engineers and systems analysts in companies such as Microsoft, Cisco, Bloomberg, PwC and IBM.

UCL Computer Science research students' employability is greatly enhanced by working alongside world-leading researchers in cutting-edge research areas such as virtual environments, networked systems, human-computer interaction and financial computing. UCL's approach is multi-disciplinary and UCL Computer Science shares ideas and resources from across all departments of Faculty of Engineering Sciences and beyond. Our alumni have a successful record of finding work, or have founded their own successful start-up companies, because they have an excellent understanding of the current questions which face industry and have the skills and the experience to market innovative solutions.

UK fees Course fees for UK students

For this course (per year)

International fees Course fees for EU and international students

A UK Master's degree in a relevant discipline with Merit, or a minimum of an upper second-class UK Bachelor's degree in a relevant discipline, or an overseas qualification of an equivalent standard. Work experience may also be taken into account.

UCL (University College London) is consistently ranked among the top ten universities in the world, conducting leading research across a wide range of subject areas. Throughout its long and prestigious history, it has inspired and educated countless minds and produced 30 Nobel prize recipients. With one campus located in the heart of Bloomsbury and a second campus in vibrant east London, the university is home to around 42,000 students... more

MSc Global Healthcare Management (Analytics)

Full time | 1 year | 23-SEP-24

Software Systems Engineering MSc

Business analytics msc, machine learning msc, power systems engineering msc.

• Students, Staff and Alumni
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International

Mphil/phd computer science, course information.

3 years full-time or 4-6 years part-time

Course overview

Our MPhil/PhD programme in computer science offers you the opportunity to participate fully in the highly interdisciplinary research environment of our department and of the College as a whole.

We currently offer MPhil/PhD supervision in many areas of computing, including:

• computational creativity
• computer vision and audition
• interactions between art, media and technology
• adaptive hypermedia systems
• artificial intelligence

We aim for all our students to produce innovative ideas and to develop those ideas into fully-fledged research results and software and hardware systems, working within the creative atmosphere of our department.

• We welcome outstanding applications to study and perform research in any aspect of computer science, and strongly encourage you to contact members of staff  with overlapping research interests to discuss your research proposal in the first instance; if you are unsure who to talk to, please contact the Postgraduate Tutor listed below with a description of your interests
• We provide you with office space and computer equipment along with access to computer labs and other facilities, in addition to resources and facilities made available by the College and support provided by the Research Office
• The department and the College provide training in research methods and in technical skills; we have a number of regular research meetings and seminars, from formal lectures to more informal workshops and discussion groups, and you are encouraged to present your work to the department at least once a year. There are also opportunities for you to participate in the teaching activities of the department
• Assessment will be by written thesis (up to 100,000 words) and viva voce
• Find out more about  research degrees at Goldsmiths . 

Contact the department

If you have specific questions about the degree, contact Akshi Kumar .

Entry requirements

You should normally have (or expect to be awarded) a taught Masters in a relevant subject area. 

You might also be considered for some programmes if you aren’t a graduate or your degree is in an unrelated field, but have relevant experience and can show that you have the ability to work at postgraduate level.

International qualifications

We accept a wide range of international qualifications. Find out more about the qualifications we accept from around the world.

If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification ) of 7.0 with a 7.0 in writing and no element lower than 6.5 to study this programme. If you need assistance with your English language, we offer a range of courses that can help prepare you for postgraduate-level study .

Fees, funding & scholarships

Annual tuition fees.

These are the fees for students starting their programme in the 2024/2025 academic year.

• Home - full-time: £TBC
• Home - part-time: £TBC
• International - full-time: £TBC

If your fees are not listed here, please check our postgraduate fees guidance or contact the Fees Office , who can also advise you about how to pay your fees.

It’s not currently possible for international students to study part-time under a student visa. If you think you might be eligible to study part-time while being on another visa type, please contact our Admissions Team for more information.

If you are looking to pay your fees please see our guide to making a payment .

Additional costs

In addition to your tuition fees, you'll be responsible for any additional costs associated with your course, such as buying stationery and paying for photocopying. You can find out more about what you need to budget for on our study costs page .

There may also be specific additional costs associated with your programme. This can include things like paying for field trips or specialist materials for your assignments.

Funding opportunities

Find out more about postgraduate fees and explore funding opportunities . If you're applying for funding, you may be subject to an application deadline.

Find out about our involvement in the Centre for Doctoral Training in Intelligent Games and Game Intelligence , which will see us offering PhD studentships over the next few years.

How to apply

You apply directly to Goldsmiths using our online application system. 

Before submitting your application you'll need to have: 

• Details of  your education history , including the dates of all exams/assessments
• The  email address of your referee  who we can request a reference from, or alternatively an electronic copy of your academic reference
• Contact details of a second referee
• A  personal statement – this can either be uploaded as a Word Document or PDF, or completed online

           Please see our guidance on writing a postgraduate statement

• If available, an electronic copy of your educational transcript (this is particularly important if you have studied outside of the UK, but isn’t mandatory)
• Details of your  research proposal

You'll be able to save your progress at any point and return to your application by logging in using your username/email and password.

Before you apply for a research programme, we advise you to get in touch with the programme contact, listed above. It may also be possible to arrange an advisory meeting.

Before you start at Goldsmiths, the actual topic of your research has to be agreed with your proposed supervisor, who will be a member of staff active in your general field of research. The choice of topic may be influenced by the current research in the department or the requirements of an external funding body. 

If you wish to study on a part-time basis, you should also indicate how many hours a week you intend to devote to research, whether this will be at evenings or weekends, and for how many hours each day.

Research proposals

Along with your application and academic reference, you should also upload a research proposal at the point of application. 

This should be in the form of a statement of the proposed area of research and should include: 

• delineation of the research topic
• why it has been chosen
• an initial hypothesis (if applicable)
• a brief list of major secondary sources

When to apply  

We accept applications from October for students wanting to start the following September. 

We encourage you to complete your application as early as possible, even if you haven't finished your current programme of study. It's very common to be offered a place conditional on you achieving a particular qualification.  

If you're applying for external funding from one of the Research Councils, make sure you submit your application by the deadline they've specified. 

Selection process 

Admission to many programmes is by interview, unless you live outside the UK. Occasionally we'll make candidates an offer of a place on the basis of their application and qualifications alone.

Find out more about applying .

Find out more about staff in the department and their research interests .

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PhD in Computer Science

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The PhD is the primary research degree that can be taken in the Department of Computer Science and Technology. The Cambridge PhD is a three to four-year full-time (five to seven-year part-time) programme of individual research on a topic agreed by the student and the Department, under the guidance of a staff member as the student's supervisor. 

All research students are admitted to read for the PhD degree on a probationary basis and will be registered for the Certificate of Postgraduate Study (CPGS) in the first instance. During this year students may do some additional coursework and will write a research report that is likely to form the foundation of the eventual PhD thesis. The CPGS will involve four components:

Research skills training

Practical work

Research report of no more than 10,000 words

Attendance at a research workshops and research seminars

At the end of the third term and on completion of the CPGS, students whose performance indicates that they would be able to complete a PhD in a reasonable time will be upgraded to PhD status. A student who is not upgraded to PhD status, and who has completed three terms of study, will normally be awarded the CPGS alone. They will not submit a thesis for the PhD degree.

There is an expectation that all research students will contribute to teaching in the department for which some training will be provided. Research students will submit a log - or tally-sheet - of teaching activities annually at the end of June. 

Students are expected to complete the substance of their research by the end of their third year, submitting their thesis then or within a few months.

Applicants wishing to apply to undertake a PhD on a part-time basis should refer to the Department's admissions advice for potential part-time students.

The Postgraduate Virtual Open Day usually takes place at the end of October. It’s a great opportunity to ask questions to admissions staff and academics, explore the Colleges virtually, and to find out more about courses, the application process and funding opportunities. Visit the  Postgraduate Open Day  page for more details.

See further the  Postgraduate Admissions Events  pages for other events relating to Postgraduate study, including study fairs, visits and international events.

Key Information

3-4 years full-time, 4-7 years part-time, study mode : research, doctor of philosophy, department of computer science and technology, course - related enquiries, application - related enquiries, course on department website, dates and deadlines:, lent 2024 (closed).

Some courses can close early. See the Deadlines page for guidance on when to apply.

Michaelmas 2024 (Closed)

Funding deadlines.

These deadlines apply to applications for courses starting in Michaelmas 2024, Lent 2025 and Easter 2025.

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CUSP London

We welcome postgraduate research students from around the world to join our world-leading community of researchers. phd students are vital to advancing innovation and cutting-edge discovery across our areas of research. they work under the guidance of internationally renowned academic experts across a broad range of disciplines in computer science, data science and ai.  .

We offer an exciting research environment where PhD students can pursue their own projects in a variety of fields, exploring fundamental scientific questions as well as the key societal challenges and opportunities of an increasingly complex digital world. We also support their discovery of other research directions within Computer Science and enable them to acquire wider academic skills. We have a highly recognised research profile, with several major externally funded projects, a strong publication profile, and significant research activity.

Computer science research.

Computer Science Research MPhil / PhD from the Department of Informatics at King's College London.

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Applying for a PhD

The Department of Informatics invites applications for a number of 3.5-year funded studentships starting in October each year. There are normally three application deadlines in each year. The next application deadline for studies commencing in October 2024 is on 20 January 2024.

Eligibility

• Applicants should have an undergraduate degree or MSc in Computer Science or another discipline relevant for their PhD project (eg Engineering, Mathematics, Statistics or Physics). Due to high competition for funded studentships we particularly look for applicants with a first-class degree or distinction at masters. 
• In exceptional cases other qualifications and experience may be considered and all applications will be assessed on their merit as appropriate to the individual case.
• The available studentships include studentships for applicants who are UK residents as well as studentships for international applicants from outside the UK.

We offer PhD projects under a range of different research themes in computer science. Applicants can explore the various projects available and apply to the one that suits their interests.

• Artificial Intelligence 
• Computer vision
• Cybersecurity
• Foundations of computing
• Human-centred computing
• Machine Learning
• Natural Language Processing

This list is not exclusive and the potential applicants can alternatively identify and contact appropriate potential supervisors to outline their academic background and research interests or to propose their own PhD project ideas.

There are a number of funding schemes available. Some cover both stipend (to cover living costs) and tuition fees, while others may cover fees only. The main funding opportunities for the Department are listed below. More options are listed on the King's  postgraduate research funding pages  or FindAPhD.com .

All scholarships, bursaries or other awards are offered on a competitive basis. Some King's funding opportunities may have earlier deadlines, so please check carefully. 

• Faculty studentships

The Faculty of Natural, Mathematical & Engineering Sciences offers studentships in the Chemistry, funded for 3.5 - 4 years, with a bursary starting at the standard research council rate, and which will cover the full cost of tuition fees for home and international students. 

Centre for Doctoral Training in Digital Twins for Healthcare

DT4Health is an innovative PhD programme that cuts across the Health Faculties and the Faculty of Natural, Mathematical & Engineering Sciences. The programme offers postgraduate researchers fully funded positions with the aim of training the next generation of leaders in healthcare technology to improve healthcare systems using the cutting-edge framework of Digital Twins. Applicants can find out more on the website . 

• Centre for Doctoral Training on Multiscale Models for Life

This cross disciplinary CDT based in the Faculty of Dentistry, Oral & Craniofacial Science offers support for 3.5 years including a stipend at the current UKRI rate, home rate tuition fees, research expenses and support for training and career enhancement.

It is open to those with an interest and aptitude for interdisciplinary research with a background in life sciences and physics, chemistry, maths, computation or engineering. 

• King's-China Scholarship Council

King's-China Scholarship Council PhD Scholarship programme (K-CSC) is open to students from China. Details of this programme can be found on our  website .

• Teaching income

PhD students can contribute to the department's teaching, for which payment will be made separately. Training and mentoring in teaching and learning in higher education is provided by the Faculty.

For further information on postgraduate research funding and scholarships please visit the  Centre for Doctoral Studies pages .

The next application deadline for studies commencing in October 2024 is on 20 January 2024. The application process has two stages as outlined below. 

King's online application portal

• Prior to application, the applicant should contact the potential supervisor to discuss the applicant's suitability for the proposed project.
• Then you need to complete an application for PhD via the University Admissions Portal .

Informatics application process

• To apply for a studentship, you need to submit a 'Studentship Application Statement' sent to the Department PGR Administrators . 
• As part of this application, include your name, King's admissions entry number and potential supervisor.
• You also need to include information on your skills, past achievements, qualifications, experience and personal qualities that make you suited for the studentship.
• Include a 3-4 page research statement outlining the proposed research project - whether one chosen from the lists of PhD projects or the candidate's own project, incorporating:
• Initial ideas on the particular challenges the applicant would be interested in addressing; 
• a brief review of the relevant state of the art, identifying limitations or open questions;
• initial ideas on what research the applicant might carry out towards addressing the challenges of the project, referring to existing research literature where appropriate.

In all cases the applicants are strongly advised to discuss their research statement with a potential supervisor.

Any written submissions required by the supervisor/department/research group should be submitted in one document. If you are applying to a specific research group, or if your supervisor belongs to a specific research group, you must include the name of the research group at the top of this document.

Applicants do not need to repeat in their Studentship Application Statements the details of their background as these will be included in their PhD entry applications. Likewise, the applicants should not attach to their Studentship Application Statements any certificates or transcripts, as these should be attached to their PhD entry applications.

Following the review of the submitted Studentship Application Statements and the full PhD entry applications, shortlisted applicants will be invited to interview for assessment of their research potential and the contributions they can make to the research activities of the departmental hubs and to teaching activities within the department.

Discover our research

To better tackle real-world challenges, the Department of Informatics has strategically organised…

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Fostering an interdisciplinary environment for research in net zero.

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Centres for Doctoral Training

DT4Health is an innovative PhD program located at King's, in the heart of London.

Multiscale Models for Life (MM4L) Centre for Doctoral Training

Training future research leaders adept at bridging the gap between in vivo life sciences and…

NMES Graduate School

The Graduate School in the Faculty of Natural, Mathematical & Engineering Sciences is home to all PhD students studying in the Faculty. From training and funding opportunities, to career development and campus events, it offers a range of services to support the needs and interests of our graduate students, supporting them to achieve their academic and professional goals.

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PhD applications

We are one of the largest computer science departments in the UK and a world leader in academic research, offering an exciting research environment for prospective postgraduate students.

The Department is actively involved in a number of Centres for Doctoral Training, such as the UKRI Centre for Doctoral Training in AI for Healthcare ( AI4Health) , and the UKRI Centre for Doctoral Training (CDT) in Safe and Trusted Artificial Intelligence ( STAI ). Every year between 50-70 successful applicants are accepted for the PhD programme in the Department. We have a wide variety of scholarships for PhD students, including funding from research councils, research projects, industry, and teaching scholarships. More than 80% of our PhD students receive funding.

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science or mathematics. Candidates who have only a Bachelors degree will not normally be considered, but they can apply to first do an MSc Degree  in the Department.

Applications for 2024 entry will open in October 2023 and afterwards can be made at any time during the year. Applicants for the main departmental PhD degree should apply to the Computing Research degree. There is at present no application fee.

However, we would particularly advise all overseas candidates in the need of funding to apply by the December deadline. Depending on the number of scholarship offers that we will issue, there may still be some funding available for applications received afterwards.

Note that if you are accepted by a supervisor, but do not receive a funding offer by the notification deadline, then it is likely that you have not been awarded funding. Unless otherwise communicated to you, your funding request will then remain under consideration for the following funding rounds. If your funding application is successful later during the year, you will receive a notification. You can refer to the  FAQ if you need to check the status of your application in due course.

We have a wide range of funds and we do our best to find the most appropriate for each candidate. To give you an idea of what funds are available please see the scholarships page . 

Please note that we will normally consider your application only after you have formally applied and your application has been received by the Department. Therefore we recommend that you submit an application prior to contacting academics about research topics.

Details on the application process are available in the application guidelines page . After preparing your application, you can submit it using the College online application system, which you can access by going to the:

Applications are formally processed by the Department only when the full paperwork has been received and processed by the College Registry. So we strongly advise you to read:

• Postgraduate prospectus
• Application guidance notes
• Postgraduate research admissions policy

We believe in the importance of diversity in both our department and the research fields we work in. We aim to create and foster a collaborative environment within the department where everyone feels welcome. We encourage applicants of all backgrounds and ages to apply, in particular women, disabled, BAME and LGBTQIA+ candidates. Imperial College London is  committed  to equality, diversity and inclusion.

The Department has an equal opportunities policy and encourages applications from people with disabilities. You are invited to declare your disability to our PhD Admissions Tutor in order to discuss early on suitable arrangements for your PhD studies. Please also see the College's arrangements for people with disabilities .

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Computer Science and Information Systems

Application options include:

Course Overview

An MPhil/PhD is an advanced postgraduate research degree that requires original research and the submission of a substantial dissertation of 60,000 to 100,000 words. At Birkbeck, you are initially registered on an MPhil and you upgrade to a PhD after satisfactory progress in the first year or two, and if it seems likely that your thesis will contain significant original work . You need to find a suitable academic supervisor at Birkbeck, who can offer the requisite expertise to guide and support you through your research. Find out more about undertaking a research degree at Birkbeck .

Students who successfully complete this MPhil or PhD degree will have gained expert knowledge in their chosen research area and the ability to perform research-led activities in a broader context. In addition, students who successfully complete the PhD degree will have gained the ability to identify and solve complex problems arising in their chosen research area, and will have made a substantial original contribution to this area.

Our research focuses on data science, theoretical computer science, algorithms, internet of things, data mining and machine learning, knowledge representation and reasoning, logic and artificial intelligence, semantic web technologies, search engines, mobile and ubiquitous computing, computer vision, bio-inspired computing and social networks.

Key information

Computer science and information systems mphil/phd: 7 years part-time, on campus, starting 2024-25.

• October 2024
• January 2025

Computer Science and Information Systems MPhil/PhD: 4 years full-time, on campus, starting 2024-25

Find another course:

• Birkbeck was ranked in the top 25 universities in the UK for its Computer Science and Informatics research in the 2021 Research Excellence Framework. Overall, Birkbeck's  research excellence was confirmed  in the 2021 Research Excellence Framework  with 83% of our research rated world-leading or internationally excellent.
• Birkbeck established one of the first computing departments in the UK in 1957. Our research dates back to the late 1940s when one of the first electronic computers was developed in the then Computing Laboratory at Birkbeck by Dr Andrew Booth.
• We provide a stimulating teaching and research environment for both part-time and full-time students.

Entry Requirements

A Master's or upper second-class degree in computer science.

English language requirements

If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.

If you don't meet the minimum IELTS requirement,  we offer pre-sessional English courses, foundation programmes and language support services  to help you improve your English language skills and get your place at Birkbeck.

Visit the International section of our website to find out more about our  English language entry requirements and relevant requirements by country .

Visa and funding requirements

If you are not from the UK and you do not already have residency here, you may need to apply for a visa.

The visa you apply for varies according to the length of your course:

• Courses of more than six months' duration: Student visa
• Courses of less than six months' duration: Standard Visitor visa

International students who require a Student visa should apply for our full-time courses as these qualify for Student visa sponsorship. If you are living in the UK on a Student visa, you will not be eligible to enrol as a student on Birkbeck's part-time courses (with the exception of some modules).

For full information, read our visa information for international students page .

Please also visit the international section of our website to find out more about relevant visa and funding requirements by country .

Please note students receiving US Federal Aid are only able to apply for in-person, on-campus programmes which will have no elements of online study.

Computer Science and Information Systems MPhil/PhD: 7 years part-time or 4 years full-time, on campus, starting in academic year 2024-25

Academic year 2024–25, starting october 2024, january 2025, april 2025.

Part-time home students: £2,539 per year Full-time home students: £4,786 per year Part-time international students : £7,525 per year Full-time international students: £14,885 per year

Students are charged a tuition fee in each year of their course. Tuition fees for students continuing on their course in following years may be subject to annual inflationary increases. For more information, please see the College Fees Policy .

If you’ve studied at Birkbeck before and successfully completed an award with us, take advantage of our Lifelong Learning Guarantee to gain a discount on the tuition fee of this course.

Fees and finance

PhD students resident in England can apply for government loans of over £26,000 to cover the cost of tuition fees, maintenance and other study-related costs.

Flexible finance: pay your fees in monthly instalments at no extra cost . Enrol early to spread your costs and reduce your monthly payments.

We offer a range of studentships and funding options to support your research.

Discover the financial support available to you to help with your studies at Birkbeck.

International scholarships

We provide a range of scholarships for eligible international students, including our Global Future Scholarship. Discover if you are eligible for a scholarship .

Our research culture

We have major research collaborations with the neighbouring UCL Institute of Education and with our own psychological sciences team. Together with the UCL Institute of Education, we are exploring how digital technologies and new media are shaping the future of knowledge and learning, while our collaboration with the psychological sciences team, in the  Centre for Cognition, Computation and Modelling  (CCCM), focuses on connectionist modelling, symbolic modelling, cognitive architectures, and computational modelling for the study of human behaviour and cognition.

Our academic staff serve on numerous journal editorial boards and conference programme committees.

Study resources include a course on research methods for computer science and information systems, regular research seminars and extensive computing facilities. We provide assistance with funding for you to attend conferences where you are presenting your research, and you are also encouraged to attend generic research training courses.

Full-time students are expected to provide lab supervision, tutorial help and marking of coursework on our taught courses for up to five hours a week as part of their training. This is remunerated at the current College rate. You must have an active, up-to-date web page on our website, including contact details, a description of your area of research and a publications list.

As a research student, you will have 24-hour access to servers and networked PCs running a range of language compilers, database, data mining and other specialist software, and Birkbeck library  subscribes to major digital library resources in computer science.

Read more about  our vibrant research culture .

You can contact the research admissions tutor,  Andrea Cali , with general enquiries about MPhil/PhD research with us. Find out more about  applying for a research degree in Computer Science at Birkbeck . 

Follow these steps to apply to an MPhil/PhD research degree at Birkbeck: 

1. Check that you meet the entry requirements, including English language requirements, as described on this page.

2. Find a potential supervisor for your MPhil/PhD research. You can look at the Find a Supervisor area on this page for an overview, or  search our Experts’ Database  or  browse our staff pages  for more in-depth information. You may also find it helpful to view the research projects of our current students.

3. Contact the academic member of staff - or the department they teach in - for an informal discussion about your research interests and to establish if they are willing and able to supervise your research. (Please note: finding a potential supervisor does not guarantee admission to the research degree, as this decision is made using your whole application.)  Find out more about the supervisory relationship and how your supervisor will support your research .

4. Draft a research proposal. This needs to demonstrate your knowledge of the field, the specific research questions you wish to pursue, and how your ideas will lead to the creation of new knowledge and understanding.  Find out more about writing a research proposal .

5. Apply directly to Birkbeck, using the online application link on this page. You will also need to include a short personal statement and a copy of your CV. All research students are initially registered on an MPhil and then upgrade to a PhD after making sufficient progress.

Find out more about the application process, writing a research proposal and the timeframe .

Application deadlines and interviews

You can apply, and start studying, at any time during the year, although October is the usual start date.

If you wish to apply for funding, you will need to apply by certain deadlines. Consult the websites of relevant bodies for details.

Apply for your course

Apply for your course using the apply now button in the key information section .

Finding a supervisor

A crucial factor when applying for postgraduate study in computer science and information systems is the correlation between the applicant’s intellectual and research interests and those of one or more potential supervisors.

Find out more about the research interests of our academic staff .

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Key information.

Duration: 4 years full time or 5 years part time

Institution code: R72

Campus: Egham

UK fees * : £4,786

International/EU fees ** : £26,300

Computer Science at Royal Holloway is one of the world's leading centres of research in advanced areas of theoretical and applied computer science.

We are renowned in particular for our research excellence in Machine Learning, Artificial Intelligence, and Distributed Computing. Our research expertise is shaping the future of those key areas for society and the economy.

In the latest Research Excellence Frameworks (REF, 2021), we ranked 17th in the UK computer science departments for the quality of our research (THE, REF institutions ranked by subject, 2022).

Collaborative research is carried out in many different fields with companies and organisations, from finance to the analysis of movie scripts, from computational simulations of epidemics to foundational aspects of probability and logic.

We welcome applications for Postgraduate Research studies from across the world, and the department has earned a Bronze Athena SWAN award for best practice in equal opportunities and our inclusive environment.

In addition to the information below, check our separate page on the topics in which we supervise.

Research facilities and environment

Research students in Computer Science join a lively research community and become fully involved in the research activities of the department, sharing their successes. Many of our research students present papers at international conferences, with financial support from the department. 

A Postgraduate Colloquium is held annually: all second and third-year research students give 15-minute talks to present the results of their research achieved during the year to members of staff from different research groups, fellow research students, and external guests; first-year students give a poster presentation.

Regular departmental research seminars include talks by professionals in a variety of application areas, and there is a separate student-organised 'cakes talk' series which allows students to develop their presentational skills. We have a weekly social event to which all students, research assistants and staff are invited. Royal Holloway provides dedicated social space for graduate students, facilitating inter-departmental links. 

Major research topics include Algorithms and Complexity, Bioinformatics and Medical Applications, Machine Learning, Planning, Cyber-Physical Systems, Distributed Computing, and Type Theory and Applications.

Especially for topics that involve data analytics, the department has a dedicated state-of-the-art computing cluster HP DL380 comprising 32 processors, 32 Terabytes of disk storage, GPU and RDMA networking. The cluster is currently running the full-fledged Hortonworks Hadoop distribution (HDP) as well as the PostgreSQL and MongoDB servers.

You will have 24/7 access to dedicated on-site facilities and equipment.

Students who are admitted to this programme are initially registered on a MPhil programme. Before the end of their second year of studies they will have an upgrade meeting; if successful, they then become registered on the PhD Computer Science programme.

To be awarded a PhD Computer Science degree, students must submit their thesis, and pass their viva examination with one internal and one external examiner.

Entry requirements

A good first degree or masters in a cognate discipline to computer science, and relevant to the proposed research project. We are also prepared to consider candidates with extensive practical or industrial experience that would be relevant to the project. As a guideline, English proficiency equivalent to IELTS 6.5 is expected.

English language requirements

All teaching at Royal Holloway is in English. You will therefore need to have good enough written and spoken English to cope with your studies right from the start.

The scores we require

• IELTS: 6.5 overall. Writing 7.0. No other subscore lower than 5.5.
• Pearson Test of English: 61 overall. Writing 69. No other subscore lower than 51.
• Trinity College London Integrated Skills in English (ISE): ISE III.
• Cambridge English: Advanced (CAE) grade C.
• TOEFL ib: 88 overall, with Reading 18 Listening 17 Speaking 20 Writing 26.

Country-specific requirements

For more information about country-specific entry requirements for your country please see  here .

Our graduates have an excellent track record of finding employment.  PhD graduates from this department are now in senior positions in both academia and industry, including senior research managers at both Facebook and Amazon.

During term-time, we have weekly talks by external speakers from industry: these occasions are useful for graduate students to make external contacts and to learn of opportunities. In addition to the support provided by The Careers and Employability Service, the department has a coordinator to advise on career development and job opportunities.

Fees & funding

Home (UK) students tuition fee per year*: £4,786

EU and international students tuition fee per year**: £26,300

Other essential costs***: There are no single associated costs greater than £50 per item on this course

…How do I pay for it? Find out more about   funding options,   including loans, grants,   scholarships   and bursaries. 

* and ** These tuition fees apply to students enrolled on a full-time basis in the academic year 2024/25.

* Please note that for research courses, we adopt the minimum fee level recommended by the UK Research Councils for the Home   tuition fee. Each year, the fee level is adjusted in line with inflation (currently, the measure used is the Treasury GDP deflator). Fees displayed here are therefore subject to change and are usually confirmed in the spring of the year of entry.   For more information on the Research Council Indicative Fee please see the   UKRI website.

** This figure is the fee for EU and international students starting a degree in the academic year 2024/25.   

Royal Holloway reserves the right to increase all postgraduate tuition fees annually, based on the UK’s Retail Price Index (RPI). Please therefore be aware that tuition fees can rise during your degree (if longer than one year’s duration), and that this also means that the overall cost of studying the course part-time will be slightly higher than studying it full-time in one year. For further information, please see our  terms and conditions .

***   These estimated costs relate to studying this particular degree at Royal Holloway during the 2024/25 academic year and are included as a guide. Costs, such as accommodation, food, books and other learning materials and printing, have not been included. 

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Department of Computer Science

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Computer Science

• Postgraduate study
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PhD in Computer Science

You will be based in the Department of Computer Science overlooking the lake on Campus East .

You will benefit from modern offices and collaboration spaces, and well-equipped research labs with a specialist in-department team to support your requirements throughout your studies. 

We will provide you with a laptop connected to the University network, and you will have 24/7 access to your desk and workspace. Distance learning students are allocated a work desk for the duration of their stay while they are in York.

For on-campus researchers, most of your training and supervision meetings will take place on campus at the University of York, though your research may take you further afield.

PhD by distance learning

We offer the opportunity to study for a PhD by distance learning. This is available to students based in the UK and abroad, studying full-time or part-time. Our PhD by distance learning offers the same high quality of supervisory support (primarily online), and demands the same level of academic rigour as a campus-based PhD.

You will undertake your research and thesis production remotely, joining us on campus only occasionally. You will be expected to visit York at your own expense at the following stages of your study:

• Two weeks at the start of enrolment for induction, to meet your supervisor and your research group, and to meet other PhD students;
• Two one-week visits each year at important stages ('milestones') of your study (the number of visits is reduced accordingly if you are a part-time student);
• You will normally attend your PhD viva in person.

When you are not in York, you will continue to benefit from regular supervision meetings using online communication platforms, such as Zoom. Read more about how we support distance learners .

Are you an international applicant? It is important for you to note that it is your responsibility to meet any requirements for legal entry into the UK at the time of each of your visits. While the University and Department can provide supporting letters, the University cannot make any guarantees regarding entry visas or legal residence.  Read more about applying for a visa.

Entry requirements

Undergraduate and masters degrees.

The PhD in Computer Science is intended for students who already have a good first degree in Computer Science or a related field.

For entry to the PhD programme, we require at least a 2:1 undergraduate degree, or a qualification equivalent to a UK Masters degree with a minimum average grade of 60%.

We are willing to consider your application if you do not fit this profile, providing you are able to demonstrate that you have the required amount of Computer Science knowledge and experience to succeed on the programme.

English language requirements

If English is not your first language you must provide evidence of your ability.

Find out more about English Language requirements for research degrees

How to apply

Find a potential supervisor.

You should find a potential supervisor in our Department whose area of research overlaps with yours. We encourage you to contact them to discuss your research proposal before you apply. Please identify the name of your potential supervisor in your application.

On our Research web pages, you can explore our research groups which reflect the core research strengths and expertise within the Department of Computer Science. On the web page for each research group, you'll find more information about the aims and objectives of the group and the names of group members. You can use this information to identify the groups where research interests match your own.

If you have any questions or need further information, please contact [email protected] .

Submit your application

We require you to submit the following documents:

• Research proposal
• Academic transcript(s )
• Your curriculum vitae (CV)
• Personal statement
• Details of two academic referees

Your research proposal needs to outline the nature of your proposed study and give some indication of how you will conduct your research. The purpose of this exercise is to ensure that you and your potential supervisor(s) have matching research interests.

Your proposal can build on your chosen supervisor's area of work and may be prepared with the help of your chosen supervisor. It should be about 500 to 1,000 words in length, in English and in your own words. Read more about writing a research proposal .

You can apply and send all your documentation electronically through our online system. You don’t need to complete your application all at once: you can start it, save it and finish it later.

After you have applied, you can track the status of your application and view any official correspondence online. If you have applied for an advertised scholarship, decisions on funded places may take a little longer.

Applicant interviews

If we are impressed by your full application, personal statement and references, we will invite you to interview.

The interview panel will be made up of your potential supervisor(s) and another independent academic. During your interview, it is important that you demonstrate an understanding of your chosen topic and its supporting theories.

For students based outside the UK, interviews are held online via Zoom. Applicants based in the UK are offered the opportunity to attend their interview in York. If you choose to attend in person, your visit will include a tour of the Department and its facilities.

Related links Explore our PhD opportunities Research groups in the Department of Computer Science About our research degrees Applying for a research degree Funding for research degrees Information for International students Accommodation Life at York

Department of Computer Science Deramore Lane , University of York , Heslington , York , YO10 5GH , UK Tel: work 01904 325501

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Page contents

• 1 Introduction
• 2 Key features
• 3 Teaching Centre Support
• 4 General entry requirements
• 5 Course overview
• 6 Key dates
• 7 Admissions
• 8 Fees, funding and payment
• 9 Career opportunities
• 10 What our students say

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Course information>

October 2024

Get prepared for the technology jobs of the future. Taught by experts from Goldsmiths, you'll master in-demand programming, mathematical and computing skills through project-based modules where you'll develop your own software. A choice of seven specialisms lets you tailor your degree to your career ambitions.

Key features

Learn from leading experts.

Our Computer Science degrees are developed and taught by staff at the world-renowned Department of Computing at Goldsmiths. You'll work closely with leading academics and industry experts whose knowledge is drawn from real-life experience across a wide range of regions and industries.

Tailor your degree to your ambitions

Choose a specialism to match your career goals, from machine learning and AI, data science, web and mobile development, UX and more. Through hands-on project work, you’ll gain highly sought-after technical skills in cutting-edge disciplines, and graduate with a portfolio of work that you can present to potential employers.

An interactive online learning experience

Our BSc Computer Science was the first bachelor's degree to be delivered on Coursera, the world’s largest online learning platform. If you register as a web-supported learner, your tutor will provide support through Coursera, where you’ll also have access to interactive learning activities and forums to connect with your peers.

Study flexibly online

Gain a University of London degree from anywhere in the world: choose between fully online learning or enrolling at one of our Recognised Teaching Centres in your home country for additional face-to-face tuition support. Either way, our specialist tutors are always on hand to help.

Fit your degree around your life

This degree is designed with maximum flexibility in mind, allowing you to choose the pace and duration of your studies. Pay-per-module tuition means you can schedule your studies as you need over three to six years, so you can learn in a way that’s sustainable for your lifestyle.

Teaching Centre Support

General entry requirements, course overview, programme structure, modules and specification show.

You complete 23 modules to complete the BSc Computer Science.

All of the Level 4 and Level 5 modules are compulsory. There is a broad range of options at Level 6, towards the end of the course.

• During Level 4 , you learn the fundamentals: how computers work, how to programme, and more about the mathematics that underpins computer science.
• During Level 5 , you deepen your programming skills to consider software projects and explore specialist topics such as Graphics Programming and Data Science.
• During Level 6 , you study elective modules then undertake a 30 credit project that combines your knowledge and skills to create a software system.

Note: Agile Software Projects will run for the last time in October 2024. No further registrations will be accepted on this module after October 2024. The last opportunity to sit the assessment for this module will be October 2025. Module ‘Professional Practice for Computer Scientists’ will replace Agile Software Projects and will run for the first time in April 2025.

Specialisms

You can also choose to register on a specialist award if you want to focus your studies on a particular area of computer science. To specialise, you must take five compulsory specialist modules and an elective from any specialism. You will be asked to select your preferred specialism when you register.

The Programme Specification and Programme Regulations contain information and rules regarding what modules you can choose and the order in which they must be studied. 

• Download Programme Specification
• View Academic Regulations

The BSc in Computer Science leads to a recognised UK degree qualification. However, this degree doesn’t receive any additional professional accreditation at this time.

Course structure Show

To gain a BSc in Computer Science, you complete modules to a value of 360 credits.

This includes;  8 compulsory modules at level 4 8 compulsory modules at level 5 6 elective modules from level 6.

You must also complete a Final project.

Level 4 - compulsory

Introduction to programming I (Open modal with additional information)

Introduction to programming II (Open modal with additional information)

Computational mathematics (Open modal with additional information)

Discrete mathematics (Open modal with additional information)

How computers work (Open modal with additional information)

Fundamentals of computer science (Open modal with additional information)

Web development (Open modal with additional information)

Algorithms and data structures I (Open modal with additional information)

Level 5 - compulsory

Object oriented programming (Open modal with additional information)

Software design and development (Open modal with additional information)

Databases, networks and the web (Open modal with additional information)

Agile software projects (Open modal with additional information)

Computer security (Open modal with additional information)

Graphics programming (Open modal with additional information)

Algorithms and data structures II (Open modal with additional information)

Programming with data (Open modal with additional information)

Level 6 - elective

Data science (Open modal with additional information)

Databases and advanced data techniques (Open modal with additional information)

Machine learning and neural networks (Open modal with additional information)

Artificial intelligence (Open modal with additional information)

Virtual reality (Open modal with additional information)

Games development (Open modal with additional information)

Advanced web development (Open modal with additional information)

Physical computing and the internet of things (Open modal with additional information)

3D Graphics and animation (Open modal with additional information)

Mobile development (Open modal with additional information)

Interaction design (Open modal with additional information)

Natural language processing (Open modal with additional information)

Intelligent signal processing (Open modal with additional information)

Final project

Final project (Open modal with additional information)

Specialism: Machine Learning and Artificial Intelligence Show

Machine learning and artificial intelligence are starting to play far bigger roles in our daily lives. They are used in digital assistants that respond to our voices, self-driving cars and adaptive education systems. 

Machine learning provides a means for computer systems to extract useful information out of data. These techniques are widely used in the technology industry for a variety of applications, for example, recommending music and other products to people, identifying faces in photos and predicting trends in financial markets.  

By studying this degree you will: 

• gain the mathematical and engineering knowledge to construct working machine learning and AI systems.
• learn how machines make sense of the world through intelligent signal processing.
• carry out a substantial practical project where you’ll construct an AI system and apply it to a problem. 

Specialism structure Show

To gain a BSc in Computer Science (Machine Learning and Artificial Intelligence), you complete modules to a value of 360 credits.

This includes: 8  compulsory modules at Level 4  8  compulsory modules at Level 5  6  elective modules from Level 6

You must also complete a Final Project. 

Plus one elective from any other specialism

The final project, specialism: data science show.

New data is being produced at an exceptionally fast rate across the world. It’s the role of data scientists to make sense of this information and create accurate predictions, treatments and services tailored to individuals. 

Data science is a significant subfield in computer science which has seen rapid growth in recent years as companies and institutions have begun to gather data at scale across many sectors. Data science has many application areas ranging from medicine to climate science and business analytics.

• develop the necessary skills to be a data scientist. This will include learning about artificial intelligence, data analytics and machine learning. 

To gain a BSc in Computer Science (Data Science), you complete modules to a value of 360 credits. 

This includes:   8  compulsory modules at Level 4  8  compulsory modules at Level 5  6  elective modules from Level 6. 

Specialism: Web and Mobile Development Show

With the global mobile app market booming and expected to be worth $139 billion by 2021, it is no surprise that it is common for established organisations to have a web presence which includes complex interacting systems. 

Web and mobile development are critical application areas for computer science. Many of the largest technology companies maintain large scale web applications, providing services such as social media, search, advertising and video and audio streaming. Mobile application development has become a major part of the software industry over the last decade, with established as well as new companies developing thousands of mobile games and utilities.

• be able to develop applications for the web and mobile devices like smartphones and tablets.
• carry out a substantial project where you have created a mobile or web application.
• learn about mobile development, web development and databases. 

To gain a BSc in Computer Science (Web and Mobile Development), you complete modules to a value of 360 credits. 

This includes:   8  compulsory modules at Level 4  8  compulsory modules at Level 5  6  elective modules from Level 6 

You must also complete a Final Project.

Specialism: Physical computing and the Internet of things Show

Physical computing involves the creation of hardware devices that can sense and act in the real world. Physical computing techniques underpin a wide range of contemporary technology trends such as the Internet of Things, the quantified self and smart homes. There are many applications of physical computing, for example in creative arts, museums, ubiquitous and embedded computing, scientific sensing, robotics, engineering control systems and robotics.

• design devices that compute in real life settings
• learn how to connect these virtually to each other and globally via the internet.
• apply your learned skills in the creative arts, smart homes, robotics, engineering control systems and many more computer related areas.

To gain a BSc in Computer Science (Physical Computing and the Internet of Things), you complete modules to a value of 360 credits.

This includes: 8 compulsory modules at Level 4 8 compulsory modules at Level 5 6 elective modules from Level 6

Specialism: Games development Show

Gaming is a world entertainment phenomenon. The global games market is currently valued at $137.9 billion, by 2021 it’s expected to be worth $180 billion (Source, Newzoo). This degree is specifically designed for those who want to be at the forefront of the thriving gaming world, creating software tailored to games development. 

Video games are a critical application area for computer science, and the games industry forms a significant part of the creative economy. It is a complicated subject, drawing on other areas such as computer graphics, interaction design and artificial intelligence.

• learn how to create software tailored to games development
• be able to produce high standard graphics, narratives and interaction design
• equip yourself with the skills to develop virtual reality systems. 

To gain a BSc in Computer Science (Games Development), you complete modules to a value of 360 credits. 

This includes:  8  compulsory modules at Level 4  8  compulsory modules at Level 5  6  elective modules from Level 6

Specialism: Virtual reality Show

Virtual reality is the creation of immersive, simulated environments using computer systems. Advancements in technology has now put virtual reality in the hands of the consumer. This has created a demand for people who can develop this software and experiences in this medium. 

Virtual Reality involves the creation of immersive, simulated environments using computer systems. Recent technology advances have made it possible to create high fidelity, high immersion virtual realities which people can access with consumer hardware. Virtual Reality has many application areas, including entertainment, education and military.

• specialise in computer graphics, animation, immersive interaction design and virtual reality.
• carry out a substantial project where you create a virtual reality system and/or experience. 

To gain a BSc in Computer Science (Virtual Reality), you complete modules to a value of 360 credits. 

This includes:   8  compulsory modules at Level 4  8  compulsory modules at Level 5  6  elective modules from Level 6 

Specialism: User experience Show

Our daily lives involve complex tasks, requiring interaction with a plethora of computer systems. User experience design is a critical part of the development of these systems. These advancements ensure the interaction between the individual, computer system and the workflow it enables are all fit for purpose. 

User experience design or UX has grown out of the field of Human-Computer Interaction (HCI), which is about how to design computer systems for use by people. HCI is a major subfield of computer science, and it has informed the visual design and workflow of computer systems we use every day. HCI draws on a range of hard and soft skills and is a naturally cross-disciplinary subject. 

• understand HCI and how to apply its principles across multiple development environments 
• carry out a substantial project where you have implemented and evaluated a user experience
• gain the technical and theoretical know-how you will need to implement effective user experiences in software. 

To gain a BSc in Computer Science (User Experience), you complete modules to a value of 360 credits.

This includes:   8  compulsory modules at Level 4  8  compulsory modules at Level 5  6  elective modules from Level 6 

How you study Show

You can study this online degree from anywhere in the world. The flexible approach to learning enables you to fit your studies around your commitments whilst providing the academic rigour and structure of an on-campus programme.

Modules are offered over two 22-week sessions each academic year. You choose which sessions to enter and how many modules to take in each session.

Assessment deadlines are outlined clearly in advance of the session. The maximum number of modules you can study any one session is five, or three plus the final project. This can be a combination of new modules and resits (with a maximum of four new modules) or resits only. You will also receive comprehensive learning materials and support from online tutors.

Are you affected by US-imposed restrictions?

Our suite of BSc Computer Science degrees use creative interactive approaches delivered through Coursera, the world’s largest online learning platform, to provide immersive learning experiences.

United States export control regulations prevent Coursera from offering services and content to users in certain countries or regions. More information about which countries or regions are affected can be found on Coursera's website.

Coursera must enforce this restriction in order to remain in compliance with US law and, for that reason, we advise that all learners check this information before applying for the degree.

Study materials

We provide you with all of the resources and study materials you need to complete the degree successfully, including the essential reading for each module. You can access these through a Virtual Learning Environment (VLE) on a range of devices. This learning platform is provided by Coursera, the world’s leading MOOC providers.

Our online learning resources typically include multimedia content, activities and exercises (e.g. multiple choice quizzes, reflective exercises and self-assessment questions), as well as facilities for you to interact with your tutor and fellow students. You’ll also receive access to an onboarding course that will help you get the most from your studies.

Online support 

When you register, we will give you access to your Student Portal . You can then access your University of London email account and other key resources: 

• The Virtual Learning Environment (VLE) . Here, you can access electronic copies of all printed study materials, resources including audio-visual and revision guides, and forums to discuss course material and work collaboratively with others. 
• The Online Library . As a student at the University of London, you will have access to a range of resources, databases, and journals via the  Online Library . You will be able to contact a team of professional and qualified librarians for any help you require.  
• Access to academic support and feedback from London-based support teams. Tutors introduce the modules, respond to queries, monitor discussions and provide guidance on assessments.

Senate House Library  

If you’re based in the United Kingdom, or are visiting London, make sure to visit  Senate House Library . Students studying with the University of London can join the library free of charge. Membership includes a 10-book borrowing allowance, access to all reading rooms and study areas, and on-site access to Senate House Library digital resources. 

Tutor support

All students receive tutor support and feedback while studying this programme. Tutors introduce the modules, respond to queries, monitor discussions and provide guidance on assessments.

Web-supported learning: if you register for a module as a web-supported learner, you join an online tutor group.

Institution-supported learning: if you enrol for a module with a local teaching centre, you receive face-to-face tuition. We work with several teaching centres in a number of countries and will recruit more to support the programme.

Student Support

We are committed to delivering an exceptional student experience for all of our students, regardless of which of our programmes you are studying and whether you are studying independently or with a Recognised Teaching Centre.

You will have access to support through:

• The Student Advice Centre – provides support for application and Student Portal queries.
• TalkCampus – a peer support service that offers a safe and confidential way to talk about whatever is on your mind at any time of day or night.

Time commitment

Study at your own pace, either part-time or full-time. Once you begin a module it is generally expected that you will complete it in the six-month session. Each module presents about 150 hours of study. Over a 22-week session, a 15 credit module will typically require five to seven hours of work/effort per week, and a 30 credit module will typically require 10 to 15 hours of work/effort per week.

Each module includes a mix of assessments. During your study period you will undertake formative assessments, which help you to measure your progress but do not count towards your grade, and summative assessments Summative assessments do count towards the final grade. These include a mid-session coursework submission and an unseen written examination (or final project) at the end of the session.

Written examinations are held twice a year. You can defer sitting an exam once (subject to a fee) but you cannot defer the submission of coursework.

More about exams .

Academic Leadership Show

Academic direction for the BSc Computer Science is provided by the Department of Computing at Goldsmiths, one of the UK’s top creative universities. Goldsmiths' unique hands-on project-based style works for a diverse range of interests - from computer and data science to art and music to social science and journalism.

Its multi-disciplinary staff are actively involved in a wide range of innovative applications of computer science. Research and teaching includes computer science but also extends to more surprising topics, including computational art, virtual reality, computer music, digital sociology and education technology.

Programme Director

Dr Matthew Yee-King is an academic in the Department of Computing at Goldsmiths. As the project manager for the €3m PRAISE research project, he managed the development and trialling of innovative education technology, including media annotation systems. He has also carried out research into audio analysis and creative applications of machine learning, including a series of commissioned musical AI systems.

Unlike traditional degrees in music/film/media, which teach students how to use tools to manipulate media, this degree teaches you how to make your own tools for working with media. You gain a much deeper, applied technical understanding of digital media as well as having opportunities to work creatively with media.

Dr Matthew Yee-King

October 2024 intake Show

April 2025 intake show, entry requirements show, what qualifications do you need.

For direct access to the BSc Computer Science degrees, you will usually meet the following criteria:

• Age 17+ by the registration deadline of your enrolment session.
• GCSE Mathematics (Grade A*-B / 9-5) or AS Level Mathematics (A-E), or equivalent.
• Satisfy our General Entrance Requirements.

If applicants do not meet the academic requirements for direct entry, they can apply for the programme via the performance based admission route .

To be eligible to register, applicants must normally:

• age 17+ by the registration deadline of your enrolment session
• have passed at least four separate subjects at GCSE or GCE O level, with grades A to C, or the equivalent. Equivalents include the successful completion of the US High School Diploma.
• have two years of relevant working experience; and
• and satisfy the University of London English Language Requirements.

If you are unsure as to which entry route you are eligible for, please apply via the standard entry route only. If you do not meet all of the entrance criteria for this route your application will automatically be considered for Performance-Based Admission.

Even if you do not meet the standard requirements, we will consider each application on its own merits. Our Admissions Panel will consider whether any alternative/incomplete qualifications or work experience you have are suitable for entry to the programme.

If we are unable to issue you an offer then if available we will advise on further alternatives such as our International Foundation Programme or on additional qualifications you need to take in order to meet our minimum entrance criteria.

English Language requirements

You need to demonstrate a good level of English to be admitted to our programmes. We accept a range of evidence, including proficiency test scores. If you don’t have evidence but believe you can meet the standard, we may consider your case.

Do I meet the language requirements?

As this is a technical course, you will need access to suitable IT facilities. For this degree, you will also need Adobe Flash Player to view video material and a media player (such as VLC) to play video files.

More about computer requirements.

You may also require additional capabilities and software for specific modules, such as:

• Video and audio recording.
• Programmer’s text editor such as Atom; integrated development environment software (IDE).
• Additional software: Xamarin and Games development; 3D Graphics and Animation, and Virtual Reality all use Unity3D.
• Access to hardware: Android or iOS device; VR Head mounted display and a microcontroller like Arduino.

See the programme specification for details.

Recognition of prior learning Show

If you have studied material as part of a previous qualification that is comparable in content, level and standard to our computer science modules, you may be exempted from the equivalent course of our degree. This is known as Recognition of Prior Learning (RPL) or Exemption. You will not need to study or be assessed in the module(s) to complete your award.

You may be awarded RPL for up to 120 credits for the BSc.

To be considered for RPL you should make a formal request within your application when applying for the programme. Or, you can submit an online enquiry , if you have already applied.

You will need to have met the entrance requirements for the programme to be considered for RPL.

You must have completed the qualification/ examination(s), on which the application for RPL is based on, within the five years preceding the application.

We will not recognise or accredit prior learning for a module later than 14 days after the module start date. You will be deemed to have started a module once you have been given access to the learning materials on the VLE.

Some qualifications are automatically recognised as meeting the learning outcomes of our courses. If you satisfy the conditions, we will accredit your prior learning as detailed here: Recognition of Prior Learning degrees in Computer Science . No fees are charged for this service.

With the exception of the qualifications noted in the automatic RPL section on our website, applications for RPL based on examinations from professional institutions or professional certificates will not normally be considered.

Discretionary

Other qualifications will need to be assessed by specialist academics on a case by case basis , before we can approve RPL. A formal application is required and an RPL application fee is payable. The RPL application fee is non-refundable, even if your prior learning is not recognised.

Your qualification must be at the appropriate level (equivalent to a UK Level 4 or above) to be considered.

For your discretionary RPL request to be processed, you will need to provide: a completed RPL request form, the supporting documentary evidence (normally a scanned copy of an official transcript and syllabus of your previous studies) and the discretionary RPL fee.

You should apply as soon as possible so that we can process your request. You will need to allow time for academics to consider your documentation, so you can register by the registration deadline.

If you submit your discretionary RPL application but are too late to be considered for RPL in the current session, we will still process your application to study the programme. If you receive an offer, you can still register. If you wish to be considered for RPL in a subsequent session, then you shouldn’t register on the modules you want to apply for RPL.

RPL and Performance Based Admission 

If you apply or register via the Performance Based Admission (PBA) route, you may apply for RPL. Any approved RPL will be formally applied to your record once you have been successfully admitted onto the full BSc programme. 

To enter the BSc via the Performance Based Admission route, you must first register for Introduction to Programming I and either Discrete Mathematics or Computational Mathematics. We cannot approve RPL or accredit prior learning for these modules. 

If you do not successfully meet the requirements to progress onto the full BSc programme, any application fees paid for discretionary RPL are non-refundable. 

How to request RPL 

Additional information about the process of applying for RPL . 

Further information regarding RPL is covered in the Recognition of Prior Learning section of the appropriate  Programme Regulations and Section 3 of the General Regulations . 

Transfer to on-campus Show

Goldsmiths welcomes applications from students who wish to transfer to an on-campus degree.

To complete your degree in two years of full-time study at Goldsmiths, you must have completed eight Level 4 modules successfully. To complete your degree in one year of full-time study at Goldsmiths, you must also have completed eight modules at Level 5.

If you are interested in transferring to Goldsmiths and have successfully completed the required courses (or expect to do so in your intended year of transfer), please contact the Computing Team .

Fees, funding and payment

The fee for our BSc Computer Science degree depends on two factors:

• Whether you choose web-supported or institution-supported learning
• Whether you live in the UK, or a developing (Band A) or developed (Band B) nation. See the list of Band A and B countries [PDF]

Important: the table below does not include fees payable to a third party, such as tuition costs payable to a Recognised Teaching Centre or fees charged by your local examination centre, or local VAT, Goods and Services Tax (GST) or sales tax.

The fees below relate to new students registering for the 2024-2025 session. On average, fees are subject to a five per cent year-on-year increase. 

Students who registered earlier can view their fees on the Course Fees page . 

Disclaimer: Currency conversion tool .

*Indicative totals reflect average annual fee increases and assume that you complete the qualification within the minimum time without re-sits and Accreditation of Prior Learning (which would require additional fees). Additional costs you would also need to budget for would be examination centre fees. Indicative totals will be available soon.

*The online examination administration fee is charged for each examination paper held online, including resits. This does not apply to any coursework submissions.

More about programme fees

See the Academic Regulations for more details.

Additional Costs

You may also need to budget for:

• Exams : our approved examination centres around the world charge a fee when you sit an exam. Contact your chosen examination centre for details about costs.
• Tuition : as described, teaching centres charge for face-to-face tuition if you choose to take modules with institution-supported learning.
• Module specific requirements: Certain modules may have additional software and hardware requirements. For example, the Virtual Reality module requires a VR Head Mounted Display with the ability to be used in developer mode, and the Physical Computing and the Internet of Things module requires an Arduino Starter Kit or similar. More details on module specific requirements are available within the Programme Specification.

Please note: all student fees shown are net of any local VAT, Goods and Services Tax (GST) or any other sales tax payable by the student in their country of residence. Where the University is required to add VAT, GST or any other sales tax at the local statutory rate, this will be added to the fees shown during the payment process. For students resident in the UK, our fees are exempt from VAT.

Further information on Sales Tax.

Funding your study Show

Without the cost of moving to London, studying for your University of London degree anywhere in the world represents excellent value for money. However, there are additional sources of support depending on where you live and how you choose to study.

More on funding your study .

Paying for your course Show

You can pay your fees in a number of ways, including an online payment facility via the Student Portal and Western Union Quick Pay.

More on how to pay your fees

Career opportunities

Careers opportunity show.

The BSc Computer Science provides you with the opportunity to hone the technical skills and digital capabilities necessary to build an effective career in a range of related fields in the future. Beyond specific technical skills, you’ll also develop a range of transferable skills, from presentation skills to project management, which are highly valued in a range of workplaces and industries including business, finance, medicine, education, video games, engineering and science.

A world of career opportunities based on your specialism:

Machine Learning and Artificial Intelligence: Technical, problem-solving jobs in a rapidly growing area. A typical job title is machine learning engineer.

Data Science: Data-intensive technical jobs. Typical job titles include data scientist, data visualisation engineer, business data analyst, data manager and data engineer.

Web Development and Mobile Development: Jobs involving the development of web and mobile technology such as web sites and applications for smart phones and tablets. Examples of jobs could be mobile application developer, mobile software engineer, front-end engineer, full stack developer and back-end developer.

Physical Computing and Internet of Things: A rapidly growing and exciting area which is becoming relevant across different sectors. Jobs in this area include Internet of Things (IoT) engineer, creative technologist and embedded software engineer.

Games Development: A range of jobs in the creative industries, especially in the video games industry. Typical job titles include game designer, video game tester and video game programmer.

Virtual Reality: Exciting jobs in an emerging area which spans sectors such as the creative industries, video games and education and training. Job titles might include virtual reality developer, environment artist, virtual reality architect and augmented reality engineer.

User Experience: Jobs which involve a flair for design, and engagement with end users in a range of sectors, wherever there is a need for effective user interface design. Examples of jobs could be UX engineer, user experience designer and UI designer.

What do employers think of our graduates?

In some countries, qualifications earned by distance and flexible learning may not be recognised by certain authorities or regulators for the purposes of public sector employment or further study. We advise you to explore the local recognition status before you register, even if you plan to receive support from a local teaching centre.

Careers support Show

You’ll have access to a wide range of careers and employability support through the University of London Careers Service, including live webinars and online drop-in sessions.

More on the University of London Careers Service

Tailored support for careers in the refugee and humanitarian fields is available through regular programme events, webinars and careers resources.

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Webster University

Innovative. Global. Diverse.

Achieve academic excellence through high-quality learning experiences, summer camp registration is open, webster offers dozens of summer camps for children and teens of all ages.

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Spend Your Summer at Webster!

We offer a variety of summer camps, including athletics, the arts, media and stem..

Discover the possibilities!

Summer Camp Enrollment Is Filling Up Fast!

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Try your hand at a new sport, learn to play a musical instrument or how to dance, write a screenplay, discover science — you can even learn to play chess!

Quality Education

Join our community — recognized worldwide as an accessible and accredited institution.

Flexible and Affordable Options

Balance work and life commitments with coursework designed for today’s student.

International Perspective

Seize the opportunity for a once-in-a-lifetime, high-quality academic adventure.

Take the next step toward a brighter future and embrace an education with global reach.

Choose from our more than 160 programs with flexible and customized study options.

Discover What Webster Can Do for You

• Undergraduate Programs
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Become a Gorlok!

Our students come to us from a variety of backgrounds and experiences. The entire Webster University team works to ensure every student has a high-quality learning experience that prepares them for global citizenship and individual excellence.

Take Your Education Abroad

From our historic Webster Groves campus in St. Louis, Missouri, to a variety of locations around the world — explore the many places our students learn and grow.

See how we combine tradition with state-of-the-art technology and facilities.

Embark on an academic adventure at one of our campuses in europe or asia., pack your bags; studying in the heart of europe is more than just attending class..

Learn more about our military locations providing unmatched programming.

Webster Named Designated 'Teach-Out' Partner with Fontbonne University

Webster University has been named a “teach-out institution” for Fontbonne University students to consider as they face the closure of their college. Fontbonne students can transfer completed course credits to Webster, pay similar or lower costs, and complete their degrees on time.

Webster’s Health Sciences Programs Rise in National Grad School Rankings

Webster University’s Master of Science in Nursing degree was named one of the top graduate nursing programs in the nation. Peers ranked its DNAP in the top 50 programs in the U.S. in the annual U.S. News & World Report 2024 Graduate School Rankings.

U.S. News & World Report Ranks Online Master’s Programs Among Best in Nation

Webster University’s online business programs, education programs and information technology master’s programs were ranked among some of the best in the nation in  U.S. News & World Report’s  2024 Best Online Programs guide. 

Gorloks’ Women’s Basketball Team Capture Third Straight SLIAC Championship

Webster's women's basketball team defeated the Westminster (Missouri) College Blue Jays for the SLIAC Women's Basketball Tournament Championship for the third straight season in the championship game with a 71-56 victory.

Webster and Uzbekistan Government Sign Agreement for New Tashkent Campus

Webster University and The Republic of Uzbekistan’s Ministry of Higher Education and the Ministry of Construction signed an agreement to build a new campus in Tashkent to accommodate Webster’s tremendous growth. Tashkent is the University’s largest international campus.

Webster University’s Enrollment Makes Jump to Highest Level in Six Years

Webster University’s enrollment jumped 27% this year, bringing the University to its highest enrollment since Fall 2017. Webster’s international students at U.S. campuses show the largest increase, nearly tripling from the 2022-2023 academic year.

Chess Legend Susan Polgar to be Inducted into World Chess Hall of Fame

Susan Polgar, who served as Webster University’s first chess coach and has led college teams to more national championships than any other college coach in history, will be inducted into the World Chess Hall of Fame on Nov. 13. The ceremony will be held on Webster’s main campus.

Webster and Barnes-Jewish College Sign STEM-Nursing Degree Partnership

Under the dual enrollment program, students can earn a Webster University undergraduate biology degree, and an undergraduate nursing degree at Barnes-Jewish College, Goldfarb School of Nursing, allowing them to expand future job opportunities.

Take a Virtual Tour

Explore our beautiful Webster Groves campus from anywhere in the world.

Virtual Tour

Founded in 1915, Webster University is committed to ensuring high-quality learning experiences that transform students for global citizenship and individual excellence. Prepare for your next step and explore our community resources.

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Highlights from Webster University

Webster Vienna Hosts Chopin Visiting Professor and Geopolitics Expert Mark Leonard

May 6, 2024

Faculty-Led Programs Bring Webster Students Around the Globe During Spring Break

May 2, 2024

Webster Student Studies the Israeli-Palestinian Conflict in the New Global Policy Horizons Lab

April 29, 2024

May 18, 2024: Blueprints: 2024 Senior Exhibit in the Kooyumjian Gallery at Kooyumjian Gallery

May 19, 2024: blueprints: 2024 senior exhibit in the kooyumjian gallery at kooyumjian gallery, may 20, 2024: blueprints: 2024 senior exhibit in the kooyumjian gallery at kooyumjian gallery.

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Degrees and programs powered by experience

Undergraduate

NEWS, DISCOVERY, AND ANALYSIS FROM AROUND THE WORLD

Explore our global campuses

Find unique opportunities for experience-powered learning and discovery.

Our hub for research and graduate education at the intersection of technology, security, and policy

Explore Arlington

Massachusetts

Established in 1898, our first campus is a comprehensive hub for learning, discovery, and urban engagement

Explore Boston

Home to world-class national security and defense research and a magnet for science-based startups

Explore Burlington

North Carolina

An engine for professional education in the life and health sciences

Explore Charlotte

Our hub in Europe, with undergraduate and postgraduate degrees—including a U.S./U.K. double degree—and world-leading network science research

Explore London

Graduate education and entrepreneurship programming to support the rapidly transforming finance and tech economies

Explore Miami

A vibrant center for coastal sustainability research and innovation

Explore Nahant

Our West Coast undergraduate campus offering unique entrepreneurship and social impact programming, and home to the Mills Institute

Explore Oakland

An engine for economic development with graduate degrees and research in technology, and home to the Roux Institute

Explore Portland

Graduate degrees and research focused on the region’s booming tech industry, and undergraduate summer programs

Explore Seattle

Graduate education for high-tech fields in the heart of California’s Big Tech region

Explore Silicon Valley

Preparing professionals to thrive in high-demand fields in North America’s third-largest tech market

Explore Toronto

Professional education aligned with British Columbia’s rising startup and high-tech ecosystem

Explore Vancouver

#LikeAHusky

Plenty of room to do your own thing. Many ways to feel like a Husky.

17 Division I teams, including varsity esports. 55 intramural sports, and 64 club teams. And a packed DogHouse on game nights. Go, Huskies! 

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