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Computer Science, Ph.D.

  • Application Deadline
  • 36 months
    Duration
University rank #146 (QS) Newcastle upon Tyne, United Kingdom
Our Computer Science MPhil and PhD programme at Newcastle University 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.
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Overview

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.

Open Lab

Open Lab is the leading academic research centre for human-computer interaction (HCI) and ubiquitous computing (Ubicomp) research outside of the USA. It 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 Open Lab's many collaborators in domains including technology-enhanced learning, digital health, creative industries and sustainability. It 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. 

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.
Delivery

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.

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 Training and Skills tab in the Programme information in our online Prospectus.

English Language Requirements

  • Minimum required score:

    90

    The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120.

  • 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.

    Get a free IELTS practice test

General Requirements

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

English Language Requirements

To study this course you need to meet our Band 2 English Language Requirements.

Direct Entry: TOEFL 90 overall (with a minimum of 17 in listening, 18 in reading, 20 in speaking, and 17 in writing).

Tuition Fee

UK

Full time: £4,327Part time: £2,164

EU

Full time: £4,327Part time: £2,164

International

Full time: £22,710

Living costs for Newcastle upon Tyne

  • 560 - 1000 GBP/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

See Fees and Funding tab in the Programme information in our online Prospectus.  https://www.ncl.ac.uk/postgraduate/courses/degrees/computer-science-mphil-phd/?utm_source=referral-masters-portal&utm_medium=course-listing&utm_content=computer-science-mphil-phd&utm_campaign=PG3PL-masters-portal#fees&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.

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