inline-defaultCreated with Sketch.

This website uses cookies to ensure you get the best experience on our website.

Students
Tuition Fee
USD 34,560
Per year
Start Date
Medium of studying
On campus
Duration
48 months
Program Facts
Program Details
Degree
PhD
Major
Computer Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 34,560
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview


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 systems

    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
  • 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
  • READ MORE





    Important information

    We've highlighted important information about your course. Please take note of any deadlines.

    Your course and study experience - disclaimers and terms and conditions

    Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.

    View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2022-23.

    See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.

    Program Outline

    What you'll learn

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

    Advanced Computer Science MSc

    Bioinformatics MSc

    Cloud Computing MSc

    Computer Game Engineering MSc

    Cyber Security MSc

    Data Science MSc

    Data Science (with Artificial Intelligence) MSc

    Data Science (with Specialisation in Statistics) MSc

    Data Science (with Visualisation) MSc

    Human Computer Interaction MSc

    Synthetic Biology MSc

    Additionally you'll take the 30 credit short project module Project and Dissertation for MCOMP. The project topic should match the specialisation.


    Modules

    You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.

    Course content changes

    Module information is intended to provide an example of what you will study.

    Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.

    Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.

    Optional modules availability

    Some courses have optional modules. Student demand for optional modules may affect availability.

    To find out more please see our terms and conditions.

    SHOW MORE
    About University
    PhD
    Masters
    Bachelors
    Diploma
    Foundation
    Courses


    Overview:

    Newcastle University is a public research university located in Newcastle upon Tyne, England. It is known for its high-quality research and teaching, and its commitment to social justice and engagement.


    Services Offered:

    The university offers a wide range of services to students, including: *


    Careers Service:

    Provides guidance and support with career planning, job applications, and internships. *

    Library:

    Offers extensive resources, including books, journals, databases, and study spaces. *

    Student Support:

    Provides a variety of services to help students succeed, including academic support, counseling, and disability services. *

    Accommodation:

    Offers a range of on-campus accommodation options, including halls of residence and self-catered apartments. *

    Sport:

    Provides access to a variety of sports facilities and activities.


    Student Life and Campus Experience:

    Newcastle University offers a vibrant and diverse campus experience. Students can get involved in a wide range of clubs and societies, attend events and lectures, and enjoy the city's nightlife and cultural attractions.


    Key Reasons to Study There:

      High-quality research and teaching:

      Newcastle University is consistently ranked highly in national and international league tables.

      Strong focus on employability:

      The university has a strong track record of preparing graduates for successful careers.

      Vibrant and diverse campus community:

      Students can enjoy a welcoming and supportive environment.

      Excellent location:

      Newcastle is a thriving city with a rich history and culture.

    Academic Programs:

    Newcastle University offers a wide range of undergraduate and postgraduate programs across a variety of disciplines, including: *


    Science, Agriculture & Engineering

    *

    Humanities & Social Sciences

    *

    Medical Sciences


    Other:

    • The university has a strong commitment to sustainability and social justice.
    • It is home to a number of research centers and institutes, including the Centre for Ageing and Inequalities and the Centre for Data.
    • Newcastle University is a member of the Russell Group, a group of 24 leading research-intensive universities in the UK.

    Total programs
    573
    Average ranking globally
    #124
    Average ranking in the country
    #13
    Admission Requirements

    Academic entry 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.

    Location
    Video
    How can I help you today?