Computer Science, Ph.D.

  • N/A
    Application Deadline
  • 36 months
    Duration
  • Tuition Fee
  • English
    Language
University rank #175 (WUR) ,
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.

About

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.

Scalable Computing

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
  • concurrency
  • 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
Research Excellence

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.

Detailed Programme Facts

  • Deadline and start date

    There is no application closing date but specific deadlines for funding may apply.

    We suggest international students apply at least two months beforehand.

  • Programme intensity

    You can choose to do this programme part-time or full-time.

    Full-time
    • Full-time duration 36 months
    Part-time
    • Average part-time duration 72 months
  • Languages
    • English
  • Delivery mode
    On Campus

Programme Structure

See Programme information in our online Prospectus.

English Language Requirements

You need the following IELTS score:

  • Minimum required score:

    6.5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    StudyPortals Tip: The UK government has confirmed new English-language testing requirements for visa and immigration purposes. Learn more

Academic Requirements

A 2:1 honours degree and/or a merit master's degree, or international equivalent, in computer science or a related discipline such as:

  • engineering
  • systems engineering
  • mathematics

We also value relevant industrial computing experience and transferable skills.

International Students

To study this course you need to meet our Band 2 English Language requirements:

Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills)

If you have lower English Language scores, you may be accepted onto a Pre-sessional English Language course.

Tuition Fee

Funding

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.