Research course

Social Statistics

The University of Manchester · School of Social Sciences

Entry requirements

  • A First or Upper Second Class Bachelor's degree (or its international equivalent) in a cognate subject.
  • A relative Master's degree, with a minimum average grade of 65% in both the taught course units and your dissertation and no mark below 55% (or international equivalent).

Months of entry

January, September

Course content

The PhD in Social Statistics at the University of Manchester has a thriving and diverse research community.

Combined with Sociology, we had the highest proportion of research rated `world-leading' of any UK university by the Research Excellence Framework (REF 2014), the system for assessing the quality of research in UK higher education. The REF 2014 also rated our research environment as one of the top two in the UK.

Our research themes include:

  • Census and survey methodology;
  • Statistical methods in the analysis of social data;
  • Social network analysis;
  • Latent variable modelling;
  • Population studies;
  • Ethnic and gender differences;
  • Employment; and
  • The labour market.

For example, recent PhD titles include:
'The Role of Privacy and Confidentiality in the Collection and Dissemination of Census and Survey Data'; and
'Race and Population - a Statistical Demographic Approach'.

You will be supervised by at least two members of staff who are experts in their areas of research. You also have an array of potential training options available, including places on postgraduate course units and short courses.

Qualification, course duration and attendance options

  • PhD
    part time
    72 months
    • Campus-based learningis available for this qualification
    full time
    36 months
    • Campus-based learningis available for this qualification

Course contact details

School of Social Sciences