PhDs in this area will be supervised by the Statistical Cybermetrics Research Group, a team of recognised experts in scientometrics, webometrics, and altmetrics. A majority of the research submitted by the group to the last national evaluation (REF2014) was judged to be “world leading”. The three topics involve quantitative analyses of publication or web data to investigate methods to evaluate research outputs. PhD ideas from any of these areas will be considered, in addition to statistical PhDs that address issues deriving from scientometrics, webometrics, or altmetrics.
The group has a 100% success rate for its previous PhD students.
As a PhD student, you would meet with your director of studies monthly and attend the monthly Statistical Cybermetrics Research Group doctoral forum in which you will hear about others’ research and update them about your work. You could expect to attend one or two international conferences and publish up to three international journal articles during your studies. You will also benefit from being part of the Research Institute for Information and Language Processing, giving you access to text processing expertise and a joint seminar series of international invited speakers.
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. An Applicant 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 7.0 or its equivalent to be registered as a Research Degree student.
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
The University also offers a range of Bursaries and Scholarships in addition to other financial support packages
Tuition Fees Loan: If you wish, you can take out a Government Student Loan which covers the full course fee. You pay it back once you’ve left university and your income is more than £25,725 (from April 2019). More information on repayments can be found at: repayments.It’s available to eligible full-time higher education students and does not depend on family income.
The amount of the Tuition Fees Loan is paid directly to the University of Wolverhampton by the Student Loan Company.
Visit student finance on the gov.uk website to find out more.
Self-funding: If you don’t want to take out a loan to pay your fees, you might want to take advantage of the University’s scheme to pay by instalments: see How to Pay.The funding available to you depends on when you started your studies and if you have been to University previously.