Computer Science Integrated PhD

Full time: 48 months, part time: 96 months

Our Computer Science Integrated PhD combines taught computer science modules with research. It gives you an opportunity to make a unique contribution to computer science research. You will work within a research group, guided by experts and supported by a team of advisers.

Our Computer Science Integrated PhD (IPhD) allows you to match your studies with your interests. You can choose from a wide range of modules and select your own focus for your final project.

Research

Based in the School of Computing, our research reflects our strengths, capabilities and critical mass. Research supervision is available under our six research areas:

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 Newcastle helix

Research excellence

The excellence of our research has been recognised through awards of large research grants. Three recent examples are:

  • Centre for Doctoral Training in Cloud Computing for Big Data. Funded by Engineering and Physical Sciences Research Council (EPSRC)
  • Centre for Doctoral Training in Digital Civics. Funded by Engineering and Physical Sciences Research Council (EPSRC)
  • A £10m project to look at novel treatment for epilepsy. Funded by the Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Research Grant

Our teaching staff have international reputations, including some with extensive experience as practitioners. All our staff will work to support you in your studies, from admissions to graduation and your career beyond.

To get the most out of your study experience, we will encourage you to take part in a variety of activities. This includes taking part in seminars delivered by distinguished external speakers.

DeliveryTaught modules

The IPhD combines taught Master's level modules with research. As an IPhD student, you will initially study alongside students on one of our masters' courses in computer science. You can choose from one of the following:

  • Advanced Computer Science MSc
  • Bioinformatics MSc
  • Computational Neuroscience and Neuroinformatics MSc
  • Synthetic Biology MSc
  • Computational Systems Biology MSc
  • Computer Science MSc
  • Computer Security and Resilience MSc
  • Computer Game Engineering MSc
  • Cloud Computing MSc.

Research

Your first research year will be spent identifying a hypothesis and developing an approach to answer it.

You will also take short courses on research skills, innovation, personal and career development. The study skills you gain will help you manage your research project. You will receive training in:

  • presentations
  • interviewing
  • technical skills
  • teaching skills.

Once your supervisor has approved your research topic you can conduct your research. Your assessment includes:

  • a written thesis
  • an oral examination called a viva.

At your viva you will discuss your research with two examiners. This includes a leading researcher from outside Newcastle University.

PhD Award
Full-time, Part-time Study Mode
48 months Duration

Entry Requirements For This Course

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 course. 

Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests.

The equivalent academic qualifications that we accept are listed on our country pages.

Pre-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 a pre-sessional English course at our 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.

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