School of Engineering, Computing and Mathematical Sciences

PhD Postgraduate research in Computer Science

PhD Part-time 8 years, Full-time 4 years

The PhD in Computer Science at the University of Wolverhampton provides a unique opportunity to contribute to cutting-edge advancements in computing and technology. This programme allows you to delve into areas such as artificial intelligence, cybersecurity, data science, and software engineering, equipping you to address complex challenges in the digital age.

The PhD in Computer Science at the University of Wolverhampton provides a unique opportunity to contribute to cutting-edge advancements in computing and technology. This programme allows you to delve into areas such as artificial intelligence, cybersecurity, data science, and software engineering, equipping you to address complex challenges in the digital age.

Award
PhD
Start date(s)
UCAS Code
Course specifications
Course length
Part-time (8 years),Full-time (4 years)
Campus location
University: City Campus
UCAS points calculator

Why choose this course?

PhD Supervisor

Photo of Prof Arun Arjunan

Arun Arjunan is the Director of the Centre for Engineering Innovation and Research (CEIR) at the University of Wolverhampton. He also leads the Additive Manufacturing of Functional Materials (AMFM) research group.

The PhD in Computer Science at the University of Wolverhampton combines expert supervision, access to advanced resources, and a supportive research community. Here’s why this programme is the ideal choice for aspiring researchers:

1. Expert Supervision

  • Benefit from guidance by leading academics, including Prof. Arun Arjunan, Director of the Centre for Engineering Innovation and Research (CEIR).
  • Work with supervisors experienced in various aspects of computer science, ensuring mentorship tailored to your research area.

2. State-of-the-Art Research Facilities

  • Conduct research in cutting-edge computing laboratories equipped with the latest technologies and tools for experimentation and analysis.
  • Leverage the University’s strong infrastructure to support innovative studies in fields like artificial intelligence, big data, and machine learning.

3. Interdisciplinary Collaboration

  • Engage in interdisciplinary projects with other departments, such as engineering and mathematics, fostering a holistic approach to your research.
  • Collaborate with industry partners to address real-world challenges and gain practical insights.

4. Professional Development Opportunities

  • Enhance your skills through tailored training sessions provided by the Doctoral College, covering research methodologies, technical skills, and academic writing.
  • Develop your teaching abilities by contributing to undergraduate modules, boosting your career prospects in academia.

5. Networking and Exposure

  • Present your research at international conferences and publish in prestigious journals, establishing yourself as a thought leader in computer science.
  • Network with peers and professionals, building relationships that enhance your academic and professional journey.

6. Flexible Study Options

  • Opt for full-time (4 years) or part-time (8 years) study modes, accommodating your personal and professional commitments.
  • Tailor your research to align with your career goals and emerging trends in computer science.

This programme offers an exceptional platform for those looking to make meaningful contributions to computing and technology, preparing you to excel in academia, industry, or research-intensive roles.

What's unique about this course?

The PhD in Computer Science at the University of Wolverhampton stands out for its unique combination of academic excellence, cutting-edge facilities, and opportunities for impactful research.

1. Expert Supervision

  • Be mentored by renowned academics, including Prof. Arun Arjunan, whose expertise bridges computer science and engineering innovation.
  • Work with supervisors who bring extensive experience across artificial intelligence, cybersecurity, data science, and software engineering.

2. Advanced Research Infrastructure

  • Access state-of-the-art computing facilities and specialised labs equipped with the latest technologies for AI, big data, and IoT research.
  • Leverage software and hardware resources designed for complex computational projects.

3. Interdisciplinary Collaboration

  • Collaborate with peers in engineering, mathematics, and applied sciences to solve real-world challenges.
  • Engage with industry partners to ensure your research remains relevant and impactful.

4. Comprehensive Professional Development

  • Participate in workshops and training offered by the Doctoral College, covering academic writing, project management, and technical skills.
  • Gain teaching experience through supporting undergraduate programmes, enhancing your CV for academic roles.

5. Global Networking and Visibility

  • Present your findings at international conferences and publish in high-impact journals, establishing yourself as a thought leader in the field.
  • Build professional connections through collaborations with industry experts and academic peers.

6. Tailored Study Options

  • Choose full-time (4 years) or part-time (8 years) study modes, allowing you to balance academic and personal commitments.
  • Customise your research focus to align with your career aspirations and industry demands.

This combination of rigorous academic training, professional development opportunities, and impactful research ensures that the PhD in Computer Science at Wolverhampton prepares you for a successful and innovative career.

What happens on the course?

The PhD in Computer Science at the University of Wolverhampton is carefully structured to ensure a fulfilling and impactful research journey. The programme includes key milestones that guide your progress, from registration to thesis submission.

1. Registration

  • Expression of Interest: Start by submitting an online application, outlining your research ideas and areas of interest.
  • Supervisor Allocation: Upon acceptance, you’ll be assigned a supervisory team, including experts such as Prof. Arun Arjunan, to provide tailored guidance and mentorship.
  • Proposal Development: Collaborate with your supervisor to refine your research proposal, ensuring alignment with academic and practical standards.
  • Approval Process: Submit your final proposal for review by the Faculty Research Committee (FRC) to confirm feasibility and appropriate resourcing.

2. Induction and Training

  • Participate in induction workshops provided by the Doctoral College, equipping you with essential research skills, technical knowledge, and an understanding of academic practices.
  • Familiarise yourself with the University’s cutting-edge computing facilities and resources.

3. Research Progression

  • Progress Report Submission: Within 18 months (full-time) or 36 months (part-time), prepare a detailed progress paper summarising your achievements and outlining future plans.
  • Oral Presentation: Present your research progress at a progression workshop, where you’ll receive feedback from peers and academic experts.
  • Independent Review: An external assessor will evaluate your progress to ensure your research remains on track and meets required standards.

4. Research and Collaboration

  • Conduct innovative research in areas such as artificial intelligence, machine learning, cybersecurity, or software development.
  • Collaborate on interdisciplinary projects with other departments and industry partners, enhancing the scope and impact of your work.
  • Share your findings through departmental seminars, external conferences, and peer-reviewed publications.

5. Thesis and Examination

  • Thesis Submission: Compile your findings into a thesis that showcases originality and makes a significant contribution to computer science.
  • Viva Voce (Oral Examination): Defend your research before a panel of expert examiners, including at least one external reviewer, ensuring its academic rigour and relevance.

6. Research Dissemination

  • Disseminate your research through publications and conference presentations, ensuring its visibility and impact within the academic and professional communities.
  • Engage with the University’s annual research events, fostering collaboration and knowledge sharing.

This structured approach ensures a comprehensive and rewarding research experience, preparing you for success in academia, industry, or entrepreneurial ventures.

Potential Career Paths

Additional Information

Everything you need to know about this course!

The University of Wolverhampton offers an ideal environment for pursuing a PhD in Computer Science, combining academic excellence, state-of-the-art facilities, and opportunities for impactful research. The programme is designed to support your personal and professional development while advancing cutting-edge research in computing and technology.

Why Choose Wolverhampton?

  1. Expert Supervision

    • Be guided by renowned academics such as Prof. Arun Arjunan, Director of the Centre for Engineering Innovation and Research (CEIR).
    • Receive mentorship from a supervisory team with extensive experience in diverse areas of computer science, including artificial intelligence, cybersecurity, and software engineering.
  2. Advanced Facilities

    • Access modern laboratories equipped with the latest computing and data analysis tools to support innovative research.
    • Leverage specialised software and hardware infrastructure for AI, machine learning, and big data projects.
  3. Comprehensive Training and Development

    • Enhance your skills through workshops and training sessions offered by the Doctoral College, covering topics such as research methodologies, project management, and academic writing.
    • Develop teaching experience by supporting undergraduate modules, enriching your academic and professional profile.
  4. Interdisciplinary Research Opportunities

    • Collaborate with researchers across disciplines, including engineering, mathematics, and applied sciences, to address complex, real-world problems.
    • Engage with external organisations and industry leaders to apply your research in practical contexts.
  5. Networking and Professional Exposure

    • Present your findings at international conferences and publish in high-impact journals, establishing yourself as a thought leader in computer science.
    • Join the University’s vibrant research community, fostering collaboration and knowledge exchange.
  6. Flexible Study Options

    • Choose between full-time (4 years) and part-time (8 years) study options to fit your personal and professional commitments.
    • Customise your research focus to align with your career goals and emerging trends in computer science.

Research Areas

The University of Wolverhampton welcomes research proposals in a variety of cutting-edge areas, including:

  • Artificial Intelligence and Machine Learning: Investigating novel AI techniques and applications.
  • Cybersecurity and Data Protection: Addressing challenges in securing digital systems and data.
  • Big Data and Data Science: Developing methods for analysing and visualising large datasets.
  • Software Engineering: Exploring innovative approaches to software design, testing, and optimisation.
  • Human-Computer Interaction: Researching user-friendly interfaces and accessibility in technology.
  • Internet of Things (IoT): Advancing connectivity and automation across smart devices.
  • High-Performance Computing: Enhancing computational power for solving complex problems.

This combination of expert guidance, cutting-edge research opportunities, and real-world impact ensures Wolverhampton is the perfect place to achieve your research ambitions in computer science.

The PhD in Computer Science at the University of Wolverhampton equips you with an extensive set of skills, preparing you for advanced roles in academia, research, and industry.

1. Advanced Research Expertise

  • Develop proficiency in designing and executing original research projects in cutting-edge areas such as artificial intelligence, cybersecurity, and data science.
  • Gain expertise in collecting, analysing, and interpreting complex datasets to generate meaningful insights.

2. Technical and Analytical Skills

  • Master the use of advanced computing tools and technologies, including machine learning algorithms, programming languages, and high-performance computing systems.
  • Acquire skills in software development, data modelling, and system optimisation.

3. Problem-Solving and Innovation

  • Address complex computing challenges with innovative solutions grounded in evidence-based research.
  • Apply theoretical knowledge to real-world problems, driving advancements in the field of computer science.

4. Academic and Professional Communication

  • Write high-quality research papers and technical reports suitable for publication in prestigious journals.
  • Deliver compelling presentations at international conferences, engaging effectively with academic and professional audiences.

5. Project Management and Leadership

  • Plan, manage, and execute large-scale research projects, ensuring milestones and objectives are achieved efficiently.
  • Develop leadership skills by mentoring junior researchers and contributing to collaborative projects.

6. Networking and Collaboration

  • Build professional connections through participation in research forums, conferences, and interdisciplinary projects.
  • Collaborate with industry partners to translate research into practical applications.

7. Teaching and Mentorship

  • Gain teaching experience by contributing to undergraduate modules, strengthening your academic CV.
  • Mentor postgraduate peers, fostering a collaborative and supportive research environment.

These skills prepare graduates to excel in diverse roles, including research leadership, technical innovation, and academic excellence, ensuring a lasting impact in the field of computer science.

Location Mode Fee Year
Home Full-time £4596 per year 2022-23
Home Full-time £4596 per year 2022-23
Home Full-time £4712 per year 2023-24
Home Full-time £4786 per year 2024-25
Home Full-time £5006 per year 2025-26
Home Part-time £2298 per year 2022-23
Home Part-time £2298 per year 2022-23
Home Part-time £2356 per year 2023-24
Home Part-time £2393 per year 2024-25
Home Part-time £2503 per year 2025-26
International Full-time £14450 per year 2022-23
International Full-time £14450 per year 2022-23
International Full-time £15450 per year 2023-24
International Full-time £15950 per year 2024-25
International Full-time £16950 per year 2025-26

The University is committed to a transparent fee structure, with no hidden costs, to help you make an informed decision. This includes information on what is included in the fee and how fees are calculated and reviewed

 Applicants for a research degree shall normally hold either:

 • a first or upper second class honours degree, or

 • a master’s degree, or

 • evidence of prior practice or learning that is accepted by the Dean of Research.

For an applicant wishing to pursue a Research Degree in the area of Computer Science, whose entry award was not delivered in English, or non-native speaker of English shall be required to demonstrate proficiency in English at least to the level of an IELTS score of 6.5 (Writing - 6.5 and no less than 6.0 in any other component) or its equivalent. 

 

Financial support for research study:

Before applying, you should consider carefully how you will finance your studies for the duration of your programme, including tuition fees, research support fees and living costs.


Government loans (Home Fee Status):

Government loans are available for postgraduate research students of up to £28,673, to cover fees and living expenses. More information can be found at Doctoral-loans website.


Studying in the UK:Guidance for EU students

For 2021/22 new entrants, EU, other EEA and Swiss nationals will no longer be eligible for home fee status and financial support from Student Finance England.


Self-funded:

We are able to take payments in instalments, to spread out the cost of your studies, and it is possible to switch between full-time and part-time modes of study. For more information go to How to pay.


Postgraduate Research Loyalty Discount:

To students progressing from an undergraduate programme and/or a taught postgraduate programme to a postgraduate research programme, where both courses are University of Wolverhampton Awards.

There is no time limit on how long ago you completed your degree and/or Masters level qualification, as long as the new award is at a higher level.

For full terms and conditions please see: Loyalty Discount for Postgraduate Research Students


Research councils:

The UK Research and Innovation funds postgraduate study in all subject areas on a discretionary basis.


University Research Studentships:

The University offers a very limited number of research stipends, formerly known as bursaries, to research students. Stipends are designed to support specific projects as determined by the Research Institute rather than individual student-led projects. Funds are accessible from the relevant Research Institute or Centre - please contact them directly.


Other sources:

Dennis Turner Opportunity Fund.

You can find more information on the University’s Funding, cost, fee and support pages.

Telephone

01902 32 22 22

Email

enquiries@wlv.ac.uk

Online

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