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Cathie Marsh Institute for Social Research

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Social Statistics PhD

Social Statistics PhD overview Overview

Year of entry: 2017

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Overview

Why is this course for me?

  • You want to be part of a thriving and diverse research community
  • You have studied census and survey methodology or statistical methods in the analysis of social data
  • You are interested in population studies, ethnic and gender differences or employment and the labour market
Degree awarded
PhD
Duration
36 months full-time
Entry requirements

UK masters degree (or overseas equivalent) with a coursework/examination average of 60% or more AND a dissertation mark of 60% or more in a relevant subject with no mark below 50%

Tier 4 Student Visa -  International applicants who will require a visa to study in the UK can obtain up-to-date information on the latest student visa advice and guidelines.

Having an expert supervisor is extremely important for success in Research degree programmes and it is part of the application process that we seek suitable supervision for candidates. We cannot provide supervision across all areas and we are therefore sometimes unable to offer admission to excellent applicants. We strongly advise candidates to read the webpages of the staff or group in whose discipline they intend to specialise and to read some of their publications BEFORE applying. You may conduct a keyword search via the Social Sciences home page to identify potential supervisors/research areas.

Feel free to make direct contact with any academics to discuss your proposed research topic. Please note that such contact can only be informal and no decision can be made on your application until it is submitted and processed through the Postgraduate Admissions Office. If you make a positive contact with an academic, please make sure to include their name on your application form when you submit it.

When submitting a research proposal with your application please follow the guidelines carefully. 

Full entry requirements

Contact email
Contact telephone
+44 (0)161 275 4743
How to apply

Apply online

Non UK/EU applicants are strongly advised to submit their application by July to ensure sufficient time for applying for a Visa.

Programme options

Full-timePart-timeFull-time distance learningPart-time distance learning
PhDYYNN

Programme description

The Social Statistics discipline area at the University of Manchester has a thriving and diverse research community. Along with colleagues in Sociology, we had the highest proportion of research rated world leading of any UK University by the Research Excellence Framework 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 and employment and the labour market.  Some 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'.

PhD students are supervised by at least two members of staff who are experts in their areas of research. Students have an outstanding array of potential training options available to them, including places on postgraduate course units and short courses.

Programme Director: Dr Nick Shryane

Tel: 0161 275 0276

Email: N.Shryane@manchester.ac.uk

Open days

For details of the next University Postgraduate open day, visit open days and visits

Fees

For entry in the academic year beginning September 2017, the tuition fees are as follows:

  • PhD (full-time)
    UK/EU students (per annum): £4,195
    International students (per annum): £17,000
  • PhD (part-time)
    UK/EU students (per annum): £2,098
    International students (per annum): £8,500

Scholarships/sponsorships

Please see the School's funding page for further information.

Please email Vicky.Barnes@manchester.ac.uk if you have any queries.