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    Computer Science Integrated PhD
    Go to Newcastle University
    Newcastle University

    Computer Science Integrated PhD

    Newcastle University
    University RankQS Ranking
    129

    Key Facts

    Program Level

    PhD (Philosophy Doctorate)

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Main Site

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesSeptember-2026
    Apply to this program

    Go to the official application for the university

    Duration 4 year(s)
    Tuition Fee
    GBP 33,500  / year(s)
    Next Intake September-2026

    Computer Science Integrated PhD

    About

    Overview

    This Integrated PhD in Computer Science provides an opportunity to make a unique contribution to computer science research. You'll 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.

    Our computer science research

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

    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, techniques and technologies
    • mobile, social and wearable computing
    • computational behaviour analysis
    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 use our interdisciplinary expertise in machine intelligence, complex systems and computational biology.

    Scalable Computing

    The Scalable Computing 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
    • 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
    • critical infrastructures
    Educational Practice in Computing

    The Educational Practice in Computing group focusses on encouraging, fostering and pursuing innovation in teaching computing science. Through this group, your research will focus on pedagogy. You'll apply your research to maximise 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
    Networked and Ubiquitous Systems Engineering (NUSE)

    The NUSE group provides quality-of-life improvements in the digital age. They address challenges in systems engineering for real-world applications. This includes autonomous transportation, green energy, online safety, big data analysis and digital health.

    Their core research strengths include:

    • cloud/edge computing and big data management
    • Internet-of-things (IoT) and cyber resilience
    • edge intelligence
    • knowledge representation and reasoning
    • health data management
    • real-time simulations
    • video game engineering

    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

    Requirements

    Entry Requirements

    Typically we recognise the following in a Bachelors degree:

    • 3.5/4.0 or 4.25/5.0 (85%) as comparable to a 1st Class
    • Minimum GPA of 3.75/5.0 (75%) as comparable to a 2.1
    • 3.5/5.0 or 2.8/4.0 (70%) as comparable to a 2.2

    Admissions criteria may vary depending on the course you are applying for, please check course specific entry requirements.

    English Program Requirements

    IELTS:

    Applicants whose first language is not English require a minimum score of IELTS 6.0 or equivalent including 5.5 in each of the four elements of the test.

    TOEFL:

    79 overall (with a minimum of 17 in listening, 18 in reading, 20 in speaking, and 17 in writing)

    Pearson:

    Pearsons 65 overall (with a minimum of 59 in all sub-skills).

    Duolingo:

    115 overall with no subskill below 100

    Career

    Your future

    Placements

    Members of our Industrial Advisory Board help to ensure that the programme is relevant to the needs of business and industry today. There are opportunities to choose a project for your final dissertation that has some industry involvement associated with it.

    Your career

    Our PhD graduates have pursued successful careers across academia and industry.

    Graduates roles in industry include:

    • Software Developer, Acumatica Labs Montreal
    • Project Manager, Center Denmark
    • Deoxy Ribonucleic Acid (DNA) Scientist, Fabric
    • Nano Senior Data Scientist, PA Consulting
    • Machine Software Engineer, Samsung Research
    • Senior Generalist Programmer, Ubisoft Reflections
    • Head of Penetration Testing, Pragma Strategy
    • Software Engineer, Red Hat

    Graduates roles in academia include:

    • Assistant Professor, Durham University
    • Edge Solution Specialist, Newcastle University
    • Assistant Professor, University of Birmingham
    • Research Associate, University of Oxford
    • Research Fellow, Monah University
    • Postdoctoral Researcher, Polytechnic University of Valencia
    • Research Fellow, University College London
    • Postdoctoral Research Associate, University of Cambridge
    • Senior Lecturer, York St John University

    Our Careers Service

    Our Careers Service is one of the largest and best in the country, and we have strong links with employers. 

    Visit our Careers Service website

    Fee Information

    Tuition Fee

    GBP 33,500 

    Application Fee

    GBP  
    Newcastle University

    Computer Science Integrated PhD

    Newcastle University

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    United Kingdom,

    Newcastle upon Tyne

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