School of Engineering, Computing and Mathematical Sciences

PhD Postgraduate research in Library and Information Management

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

PhDs in this area will be supervised by the Statistical Cybermetrics Research Group, a team of recognised experts in scientometrics, webometrics, and altmetrics.

PhDs in this area will be supervised by the Statistical Cybermetrics Research Group, a team of recognised experts in scientometrics, webometrics, and altmetrics.

Award
PhD
Start date(s)
UCAS Code
Course specifications
Course length
Full-time (4 years),Part-time (8 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 Library and Information at the University of Wolverhampton provides a unique opportunity to engage in advanced research at the forefront of information science. Supervised by the internationally renowned Statistical Cybermetrics Research Group, you’ll explore innovative methods to analyse and evaluate research outputs through scientometrics, webometrics, and altmetrics.

World-Leading Expertise

  • The Statistical Cybermetrics Research Group is recognised globally for its groundbreaking work, with much of its research rated as “world-leading” in the most recent national evaluation (REF2014).
  • You’ll receive expert supervision from a team with extensive experience in quantitative analyses of publication and web data, addressing issues critical to research evaluation and impact.

Exceptional Success Rate

  • The group has a 100% PhD completion success rate, demonstrating its commitment to supporting students through every stage of their academic journey.

Opportunities for Academic Excellence

  • As a PhD candidate, you’ll have opportunities to:
    • Attend monthly meetings with your Director of Studies for personalised guidance.
    • Participate in the Statistical Cybermetrics Research Group doctoral forum, where you’ll present your research and collaborate with peers.
    • Publish up to three international journal articles during your studies, showcasing your research to a global audience.
    • Attend one to two international conferences, gaining exposure to the latest developments and building valuable professional networks.

Access to Cutting-Edge Resources

  • Be part of the Research Institute for Information and Language Processing (RIILP), giving you access to expertise in advanced text processing and computational analysis.
  • Participate in the institute’s joint seminar series featuring internationally invited speakers, enhancing your knowledge and expanding your professional network.

A Supportive and Collaborative Environment

  • The program fosters a collaborative research culture, enabling you to engage with interdisciplinary topics that span library science, information retrieval, and digital innovation.
  • Benefit from Wolverhampton’s commitment to professional and academic development through workshops and training offered by the Faculty of Engineering, Computing, and Mathematics.

This program is perfect for aspiring researchers who want to make meaningful contributions to the evolving fields of information science and digital metrics.

What's unique about this course?

The PhD in Library and Information at the University of Wolverhampton stands out as a premier program for aspiring researchers in information science. Here are the key features that make it unique:

1. Global Recognition and Expertise

  • Supervised by the Statistical Cybermetrics Research Group, an internationally acclaimed team recognised for groundbreaking research in scientometrics, webometrics, and altmetrics.

2. Proven Track Record of Success

  • A 100% PhD completion rate, demonstrating the program’s robust support system and dedication to student success.
  • Alumni have advanced into impactful academic and professional roles, contributing to innovations in information and library science.

3. Exceptional Research Opportunities

  • Access to the Research Institute for Information and Language Processing (RIILP), providing cutting-edge resources for text processing and computational analysis.
  • Opportunities to attend international conferences and publish in prestigious journals, building a strong academic portfolio during your studies.

4. Collaborative Learning Environment

  • Interact with interdisciplinary scholars through RIILP’s joint seminar series featuring globally renowned experts.

5. Industry-Relevant Focus

  • Research topics address contemporary challenges in research evaluation, digital metrics, and data analysis, making your findings applicable to academia, policy-making, and industry.
  • Strong emphasis on quantitative analysis, equipping you with sought-after skills in data interpretation and research assessment.

6. Flexible and Personalised Support

  • Tailored supervision and regular one-on-one meetings ensure personalised guidance throughout your doctoral journey.
  • Flexible study modes accommodate both full-time and part-time students, supporting diverse professional and personal commitments.

This program provides the perfect platform for researchers aiming to lead advancements in information metrics and computational analysis, supported by world-class expertise and resources.

What happens on the course?

The PhD in Library and Information at the University of Wolverhampton offers a structured and supportive framework to guide students through their research journey. Here’s what you can expect:

1. Registration

  • Expression of Interest: Start by submitting a detailed proposal outlining your research interests, which will be reviewed by the Statistical Cybermetrics Research Group.
  • Supervisor Allocation: Upon acceptance, you’ll be matched with a Director of Studies and a supervisory team with expertise in your chosen area.
  • Research Planning: Work closely with your supervisor to refine your research plan, ensuring its alignment with the program’s objectives and global trends in information science.

2. Induction and Initial Training

  • Gain an understanding of key methodologies in scientometrics, webometrics, and altmetrics.
  • Participate in foundational workshops organised by the Research Institute for Information and Language Processing (RIILP) to build expertise in computational and statistical methods.

3. Progression Milestones

  • Doctoral Forum Participation: Present your ongoing work at monthly forums, receiving constructive feedback and insights from peers and experts in the Statistical Cybermetrics Research Group.
  • Progress Reports: Submit formal progress reports summarising your research achievements and outlining your plans for future work.
  • Workshops and Seminars: Attend seminars hosted by RIILP and the Faculty of Engineering, Computing, and Mathematics, where you’ll learn advanced techniques and explore interdisciplinary approaches.

4. Examination

  • Thesis Submission: Document your findings in a comprehensive thesis that advances the understanding of information metrics.
  • Viva Voce: Defend your research in an oral examination before a panel of expert examiners, including at least one external to the university.

5. Research Dissemination

  • Publish your findings in leading international journals, contributing to global discussions in library and information science.
  • Participate in the broader academic community by sharing your work through RIILP’s seminar series and related platforms.

This structured approach ensures that you progress confidently through your research while gaining critical skills, experiences, and professional exposure to excel in academia and beyond.

Potential Career Paths

Additional Information

Everything you need to know about this course!

Choosing the University of Wolverhampton for your PhD in Library and Information provides you with access to an innovative, supportive, and globally recognised academic environment. Here’s why Wolverhampton stands out:

1. World-Class Research Excellence

  • Be part of the Statistical Cybermetrics Research Group, known for pioneering work in scientometrics, webometrics, and altmetrics.
  • Join a research team that has received national recognition, with much of its work rated as “world-leading” in REF2014.

2. Outstanding Facilities and Resources

  • Conduct your research with access to cutting-edge tools and data analysis software through the Research Institute for Information and Language Processing (RIILP).
  • Utilise comprehensive library resources, databases, and digital tools to support your research.

3. Vibrant Research Community

  • Become a member of an interdisciplinary network of researchers, enabling collaboration across fields such as data science, engineering, and social sciences.
  • Regular seminars and forums provide opportunities to share ideas, gain feedback, and engage with leading academics from around the globe.

4. Flexible and Personalised Learning

  • Tailored supervision and flexible study options (full-time or part-time) accommodate diverse student needs.
  • Individualised support ensures your research journey aligns with your academic goals and personal commitments.

5. Strong Professional Development

  • Enhance your skills through workshops and training organised by the Doctoral College and Faculty of Engineering, Computing, and Mathematics.
  • Develop a strong academic and professional profile with opportunities for teaching, publishing, and presenting at conferences.

6. Strategic Location and Global Connectivity

  • Wolverhampton’s central location offers access to a vibrant professional and academic network within the UK and beyond.

Research Areas

We welcome research proposals in a wide range of topics, including:

  • Scientometrics: Quantitative analysis of research publications, citations, and impact.
  • Webometrics: Study of web-based metrics to understand digital information dissemination and influence.
  • Altmetrics: Exploration of alternative metrics, such as social media impact and online engagement, to evaluate research visibility.
  • Text and Data Mining: Advanced computational techniques to extract insights from large datasets.
  • Digital Libraries: Research on the design, usability, and efficiency of digital library systems.
  • Information Retrieval: Innovative approaches to improving access and discovery in digital environments.
  • Research Evaluation: Methods for assessing academic and industry research outputs.

These focus areas allow you to align your research interests with cutting-edge developments in the field, ensuring your work contributes to meaningful advancements.

The PhD in Library and Information at the University of Wolverhampton equips students with a diverse and powerful skill set essential for academic excellence, industry innovation, and professional growth. Here’s what you’ll develop during the course:

1. Advanced Research Skills

  • Quantitative Analysis: Expertise in applying statistical and computational methods to large datasets, particularly in scientometrics, webometrics, and altmetrics.
  • Research Evaluation: Master techniques to assess research impact using cutting-edge metrics and methodologies.
  • Data Interpretation: Develop proficiency in analysing complex web and publication data to derive actionable insights.

2. Academic and Professional Writing

  • Produce high-quality research papers suitable for publication in top-tier international journals.
  • Hone your ability to present arguments clearly and persuasively, both in your thesis and conference presentations.

3. Communication and Presentation

  • Build confidence in presenting your research findings at international conferences, seminars, and internal forums.
  • Learn to tailor your communication style to different audiences, from academic peers to industry stakeholders.

4. Technical and Computational Expertise

  • Gain hands-on experience with advanced tools and software for data collection, statistical modeling, and text analysis.
  • Leverage computational techniques to explore innovative solutions in research metrics and digital information processing.

5. Networking and Collaboration

  • Collaborate with international researchers and professionals through the Research Institute for Information and Language Processing (RIILP) and other partnerships.
  • Expand your professional network by participating in seminars, forums, and global conferences.

6. Leadership and Project Management

  • Learn to independently plan, execute, and manage long-term research projects, meeting milestones effectively.
  • Develop leadership skills by mentoring junior researchers and participating in group discussions within the doctoral forum.

7. Teaching and Mentorship

  • Gain experience in teaching and guiding students, enhancing your academic CV and preparing you for roles in higher education.

These skills ensure that graduates of this program are not only prepared for careers in academia but also equipped for leadership roles in industry, policy-making, and research-intensive environments.

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 £ 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 £ 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 £ 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.

Applicants must demonstrate proficiency in English at least to the level of an IELTS score (or equivalent) of 7.0, with no individual element less than 6.0. The only exemption to this is for students who are not required to do so as per UKVI regulations: https://www.gov.uk/student-visa/knowledge-of-english. 

 

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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