Our Computer Science MPhil and PhD programme gives you an opportunity to make a unique contribution to computer science research. Your research will be supported by an experienced computer scientist within a research group and with the support of a team of advisers.
Research supervision is available under our six research areas, reflecting our strengths, capabilities and critical mass.
Advanced Model-Based Engineering and Reasoning (AMBER)
The AMBER group aims to equip systems and software engineering practitioners with effective methods and tools for developing the most demanding computer systems. We do this by means of models with well-founded semantics. Such model-based engineering can help to detect optimal, or defective, designs long before commitment is made to implementations on real hardware.
Digital Interaction Group (DIG)
The Digital Interaction Group (DIG) is the leading academic research centre for human-computer interaction (HCI) and ubiquitous computing (Ubicomp) research outside of the USA. The group conducts research across a wide range of fundamental topics in HCI and Ubicomp, including:
- interaction design methods, eg experience-centred and participatory design methods
- interaction techniques and technologies
- mobile and social computing
- wearable computing
- media computing
- context-aware interaction
- computational behaviour analysis
Applied research is conducted in partnership with the DIG’s many collaborators in domains including technology-enhanced learning, digital health, creative industries and sustainability. The group also hosts Newcastle University's cross-disciplinary EPSRC Centre for Doctoral Training in Digital Civics, which focusses on the use of digital technologies for innovation and delivery of community driven services. Each year the Centre awards 11 fully-funded four-year doctoral training studentships to Home/EU students.
Interdisciplinary Computing and Complex BioSystems (ICOS)
ICOS carries out research at the interface of computing science and complex biological systems. We seek to create the next generation of algorithms that provide innovative solutions to problems arising in natural or synthetic systems. We do this by leveraging our interdisciplinary expertise in machine intelligence, complex systems and computational biology and pursue collaborative activities with relevant stakeholders.
The Scalable Systems Group creates the enabling technology we need to deliver tomorrow's large-scale services. This includes work on:
- scalable cloud computing
- big data analytics
- distributed algorithms
- stochastic modelling
- performance analysis
- data provenance
- real-time simulation
- video game technologies
- green computing
Secure and Resilient Systems
The Secure and Resilient Systems group investigates fundamental concepts, development techniques, models, architectures and mechanisms that directly contribute to creating dependable and secure information systems, networks and infrastructures. We aim to target real-world challenges to the dependability and security of the next generation information systems, cyber-physical systems and critical infrastructures.
Teaching Innovation Group
The Teaching Innovation Group focusses on encouraging, fostering and pursuing innovation in teaching computing science. Through this group, your research will focus on pedagogy and you will apply your research to maximising the impact of innovative teaching practices, programmes and curricula in the School. Examples of innovation work within the group include:
- teacher training and the national Computing at School initiative
- outreach activities including visits to schools and hosting visits by schools
- participation in national fora for teaching innovation
- market research for new degree programmes
- review of existing degree programmes
- developing employability skills
- maintaining links with industry
- establishing teaching requirements for the move to Science Central
Our research excellence in the School of Computing has been widely recognised through awards of large research grants. Recent examples include:
- Engineering and Physical Sciences Research Council (EPSRC), Centre for Doctoral Training in Cloud Computing for Big Data Doctoral Training Centre
- Engineering and Physical Sciences Research Council (EPSRC), Centre for Doctoral Training in Digital Civics
- Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Research Grant: a £10m project to look at novel treatment for epilepsy, confirming our track record in Systems Neuroscience and Neuroinformatics.
On starting the programme you will identify and research an open question before formulating an approach to answering it. After agreeing a topic with your supervisor, you will conduct a literature review and refine your research goals. You will be supported through our Research Development Programme, which includes modules on personal development training, research skills, innovation and career development.
Following your initial research you submit a project proposal and give a presentation about your work. Once your project proposal is approved you will conduct your supervised research and write a thesis. Your thesis is also assessed by an oral examination.
Throughout the course of your research you will write research papers for conferences and journals, travel to present your work and discuss your project with experts from around the world.
Our cohesive research community means that you will experience joint research with other students, staff and guests, as well as being part of our active research groups. You will have opportunities to visit other universities and research labs to discuss your research and collaborate.
Thesis and viva
Your research is completed by writing a thesis describing your work and successfully defending this in an oral examination, called a viva. At the viva, you will discuss your research with two examiners, including a leading researcher from outside Newcastle.
The School of Computing at Newcastle University is an accredited and a recognised Partner in the Network of Teaching Excellence in Computer Science.
You will have dedicated computing facilities in the School of Computing, including access to the latest tools for system analysis and development. For particular projects, special facilities for networking will be set up as required.
All of our students enjoy access to specialist IT facilities to support their studies including:
- over 300 dedicated PCs running Linux and Windows
- an immersive virtual reality suite
- motion capture facilities
- 3D printing facilities
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Training & Skills
As a research student you will receive a tailored package of academic and support elements to ensure you maximise your research and future career. The academic information is in the programme profile and you will be supported by our Postgraduate Researcher Development Programme, doctoral training centres and Research Student Support Team.
Researcher Development Programme
Our Science, Agriculture and Engineering Postgraduate Researcher Development Programme aims to help you develop the skills and experience that the UK Research Councils expect you to have, or to develop, during your research degree.
Our programme will help you to:
- complete a training needs analysis, so that you know what your current skills are and where you need help and development
- use your training needs analysis to create your personal development plan
- identify appropriate workshops or other events that will help you most and best address your development needs
- gain the personal and professional key skills development for the successful completion of your research degree
Postgraduate Research Student Support
Our award winning Research Student Support Team is dedicated to providing you with information, support and advice throughout your research degree studies. The team can help and advise you on a variety of issues from registration to producing your transcripts.
EPSRC Centre for Doctoral Training (CDT) in Cloud Computing for Big Data
The EPSRC Centre for Doctoral Training (CDT) in Cloud Computing for Big Data is a multi-million pound initiative, training the next generation of experts in the analysis of big data using advanced statistical methodologies and the latest cloud computing technologies. MRes plus PhD studentships are offered in this new area in which there is an acute skills shortage.
Computing scientists and statisticians work together on challenging problems in this exciting area. The CDT is supported by many industrial partners worldwide. It also has strong academic links with international groups.
Fees & Funding
If your studies last longer than one year your fee may be subject to an annual inflationary increase.
The fees displayed here are per year.
Full time: £4,350*
Part time: £2,175*
Full time: £4,350*
Part time: £2,175*
*For 2019-2020 entry, we will be aligning our standard UK/EU research fees with those set by UK Research and Innovation (UKRI). The fees given above are indicative only. The standard fee will be confirmed in Spring 2019 by UKRI. (Updated November 2018).
Full time: £22,710
Find out more about our tuition fees, including how to pay them and available discounts.
EU students starting at Newcastle in 2018 and 2019 will pay the UK (Home) tuition fee for the full duration of their course.
A 2:1 honours degree and/or a merit master's degree, or international equivalent, in computer science or a related discipline.
Find out the equivalent qualifications for your country.
Use the drop down above to find your country. If your country isn't listed please email: email@example.com for further information.
English Language Requirements
Select an English language test from the list to view our English language entry requirements.
Please email us at firstname.lastname@example.org for further information.
Pre-sessional English Course RequirementsPre-sessional English Course Requirements
- 6 week Pre-sessional entry: IELTS 6.0 overall (with a minimum of 5.5 in all sub-skills)
- 10 week Pre-sessional entry: IELTS 5.5 overall (with a minimum of 5.0 in all sub-skills)
You can study our Pre-sessional English course at the INTO Newcastle Centre.
You may need an ATAS (Academic Technology Approval Scheme) clearance certificate. You'll need to get this before you can get your visa or study on this programme. We'll let you know about the ATAS requirement in your offer letter.
How to Apply
You apply online, track your application and contact the admissions team via our applicant portal. Our step by step guide can help you on your way.
Before you apply you should find and contact a research supervisor from the Science, Agriculture and Engineering Graduate School.
There are usually three possible start dates, although in some circumstances an alternative start date can be arranged:
There is no application closing date for this course, but specific deadlines for funding may apply.
We suggest international students apply at least two months before the course starts. This is so that you have enough time to make the necessary arrangements.
If you live outside the UK/EU you must:
- pay a deposit of £1,500
- or submit an official letter of sponsorship
The deposit is payable after you receive an offer to study at Newcastle University. The deposit is non-refundable, but is deducted from your tuition fees when you register.