成人B站

Skip to content

ASP._Page_site_elements_razor_entry_records_course_record_cshtml

We welcome applications to undertake research towards MPhil and PhD degrees in Computing.

We offer students either an MPhil (Master of Philosophy) in Computing or PhD (Doctor of Philosophy) in Computing.

More information about MPhil and PhD degrees can be found here.

Overview

Overview

Key insights into a research degree in Computing

  • Supervision by experienced researchers in areas such as artificial intelligence, machine learning, cybersecurity and human-computer interaction.
  • Opportunities to engage with applied, theoretical, and interdisciplinary research in the computing discipline across a wide range of application domains including education, healthcare and business. Access to specialist facilities including high performance computing, prototyping and fabrication facilities and virtual learning environments.
  • Membership of active research groups such as the .
  • Tailored supervision and support through the Researcher Development Programme (RDP)

The Computing MPhil and PhD programmes at the 成人B站 supports a wide range of research approaches, including applied, theoretical, and interdisciplinary investigations. The programmes foster a dynamic and collaborative research culture within the Business School and the wider University.

Entry requirements

Entry requirements

Entry qualifications

For MPhil

  • First or Upper Second Class Honours Degree or an approved equivalent award

or

  • Research or professional experience which has resulted in appropriate evidence of achievement

For PhD

  • Postgraduate Masters Degree in a discipline which is appropriate to the proposed programme of study

or

  • First or Upper Second Class Honours Degree or equivalent award in an appropriate discipline

or

  • Research or professional experience at postgraduate level which has resulted in published work, written reports or other appropriate evidence of achievement

International applicants

International applicants will be required to demonstrate that they have the appropriate level of written and spoken English.

For MPhil/PhD this is an IELTS score of 6.5 with a minimum score of 6.0 in every component.

Programme structure

Programme structure

After receiving your application, we will establish if we have the expertise to supervise your project. This will normally consist of a Director of Studies (DoS), who will be your lead supervisor, and at least one other supervisor, who will offer you additional support and guidance throughout your studies. If you are offered a place as a student, your programme of study will look like the outline below.

At the start of your MPhil and PhD

At the start of your MPhil or PhD, you will complete a Postgraduate Certificate (PG Cert) in Research Methods, a mandatory taught part of MPhil and PhD programmes at Worcester. Full-time students complete the PG Cert in 9 months and part-time students in 12-15 months depending on your month of registration (September or January).

The PG Cert is designed to set you up for your research degree, and focuses on establishing your development needs, developing your research proposal, and preparing you for the planning and delivery of your programme of research. You will be taught through a combination of in-person seminars and online delivery. You can also engage with our online researcher development programme workshops.

You will engage with three modules as part of your PGCert:

  • RSDP4001: Developing as a Researcher
  • RSDP4004: Planning Your Research Project
  • RSDP4005: Approaches to Research

Throughout these early stages of your research degree, you will work with your supervisory team to regularly discuss your progress. At the end of each year, you will reflect on and formally review your progress with your supervisory team and Doctoral Programme Leader. We call this annual meeting an Annual Progress Review (APR).

If you are enrolled on an MPhil programme, the remainder of your programme of study will follow a similar pattern as our PhD programme structure outlined below but in a shorter timeframe. Data collection will typically begin in your first year (full-time) and years 2-3 (part-time). Writing of thesis chapters, dissemination and your viva will typically occur in year 2 (full-time) and years 3-4 (part-time).

During your MPhil and PhD

In your second year (full-time) or years 3-4 (part-time), you will be collecting data and working on your research project with the support of your supervisory team through regular meetings.

You may at this point have research papers ready to publish and attend conferences to present your research to other experts in your field. You will be able to apply to our Research Student Conference Support Scheme for some funding for this purpose.

You can also present your work as part of the annual Postgraduate Research Student Conference and our Images of Research event; seminars based within your academic school and our Postgraduate Network Present and Share series in addition to a range of online workshops as part of our researcher development programme.

At the end of the year of your registration, you will go through an Annual Progress Review.

Final stage of your MPhil and PhD

Throughout the final stages of your degree, you will be working with your supervisory team to discuss your progress through supervisory meetings. In year 3 of your PhD (full-time) or year 5 (part-time), you will be writing up your thesis and preparing for your viva voce (viva) examination.

Your viva will take place after you have submitted your final thesis. After the viva, the examiners may ask that some amendments be made to your thesis before the final award is confirmed, and you will have additional time to do this.

It is possible to complete a full-time PhD in three years, but many students do take four years to complete. Similarly, it is possible to complete a part-time degree in 4 years, but it is likely that it will take you five years to complete.

Programme specification

For comprehensive details on the aims and intended learning outcomes of the course, and how these are achieved through learning, teaching and assessment, please download the latest MPhil programme specification or PhD programme specification document.

Research areas

Research areas

Research expertise

  • Intelligent Systems (AI/ML) applied to Health and Wellbeing
  • Human-in-the-loop AI.
  • Technology-driven behaviour change and habit cessation technologies
  • Cyber security malware and threat detection utilising AI
  • Computational intelligence and evolutionary computing
  • Causal Machine Learning
  • Detection of Fake/False Online content.
  • Human Aspects of Cyber Security
  • Cybersecurity in the cloud
  • Automotive Cyber Security

Potential research supervisors include:

Dr Chris Bowers鈥
Interactive Intelligent Systems; Artificial Intelligence; Machine Learning; Human-Computer Interaction; Computational Intelligence; Evolutionary Computing; Data driven Behaviour Modelling; Technology driven Behaviour Change; Habit Cessation Technologies.

Dr Agbaeze Ejem
Cybersecurity; Modelling and Performance evaluation of Secure Protocols; Distributed computing environments; Blockchain networks; Distributed databases.

Dr Eya Meddeb
Causal Inference; Machine/deep learning; Arti铿乧ial Intelligence; Data mining; Systems modelling; System Dynamics.

Dr Nader Sohrabi Safa
Security by Design; Security as a Service; Privacy Enhancing Technologies (PETs); Bring Your Own Key (BYOK); Malware Analysis and Detection by Deep Learning/Reinforcement Learning; Ransomware/Spyware/Botnet Detection and Prevention; Detection of Fake Profiles in Social Networks/Internet; Detection of Fake Reviews in e-Commerce Websites; Cyber Terrorism Detection; Cyber Crime Detection; Cyber Bullying; Network Security; Human Aspects of Cyber Security; Trust Protection on the Internet

Dr Andrew Tomlinson
Data science; Cybersecurity; Internet of things; Automotive cybersecurity; System requirements gathering; IT strategy using data for health care planning.

Dr Vanye Zira Vanduhe
Agile health and social care models; Behavioural change; Preventive medicine (MedTech); Technology enhanced learning; Digital Sustainability.

Research groups

Postgraduate Research Students are encouraged to join Research Groups at the University. The Business School hosts the Digital Innovations and Intelligent Systems Research Group.

Careers

Careers

Career benefits of pursuing a PhD or MPhil in Computing at the 成人B站:

  • Specialist expertise for high-demand sectors:
    Develop advanced skills in artificial intelligence, cybersecurity, machine learning, and human-computer interaction—fields with strong global demand across industries.
  • Real-world research impact:
    Engage in applied and interdisciplinary research with relevance to healthcare, education, business, and social innovation, enhancing your ability to solve complex, real-world problems.
  • Enhanced career mobility:
    Access to cutting-edge facilities and supervision prepares graduates for roles in academia, R&D, tech leadership, and consultancy, with opportunities to influence digital transformation.
  • Professional recognition and visibility:
    Participate in the Digital Innovation and Intelligent Systems Research Group and benefit from opportunities to publish, present at conferences, and collaborate across disciplines.
  • Flexible and supportive study environment:
    Choose full-time or part-time study, with tailored supervision and access to a dedicated research student office, enabling career development alongside research.
  • Leadership in emerging technologies:
    Build a portfolio in areas like behavioural tech, causal machine learning, and cloud security, positioning yourself as a thought leader in digital innovation and intelligent systems.
Fees

Fees and funding

Fees

The current fees can be found within the tuition fees document on our figure out finances page.

Accommodation

Finding the right accommodation is paramount to your university experience. Our halls of residence are home to friendly student communities, making them great places to live and study.

We have over 1,000 rooms across our range of student halls. With rooms to suit every budget and need, from our 'Traditional Halls' at £136 per week to 'Ensuite Premium Halls' at £236 per week (2026/27 prices).

For full details visit our accommodation page.

Postgraduate and doctoral loans

The Government will provide a loan of up to £12,858 if your course starts on or after 1 August 2025 per eligible student for postgraduate Masters study. It will be at your own discretion whether the loan is used towards fees, maintenance or other costs. For more details visit our postgraduate loans page.

If you are pursing a PhD, you may be eligible for a doctoral loan of up to £30,301 if your course starts on or after 1 August 2025. For more information visit our .

To help with the financial responsibility of students, we offer a range of scholarships and alumni discounts. Find out more about these on our .

How to apply

How to apply

Additional information

Please see guidance on Applying for an MPhil or Applying for a PhD to include application and interview deadlines.

If your research involves working with vulnerable adults and/or children then you may be required to obtain an Enhanced DBS check. There will be a small charge for this. For more information please contact research@worc.ac.uk.

We are committed to making reasonable adjustment. If you require an alternative format for making your application due to a disability, please contact us to discuss your needs on 01905 542182 or research@worc.ac.uk.

How to apply

Please make your application via our online application form. If you have any questions, please contact the Doctoral School on 01905 542182 or research@worc.ac.uk