Search type

Cathie Marsh Institute for Social Research

Postgraduate students

Social Research Methods and Statistics MSc

Gain expert knowledge in advanced quantitative methods.

Social Research Methods and Statistics MSc overview Overview

Year of entry: 2016

View tabs | View full page


Degree awarded
Master of Science
12 Months. [Full-Time] 24 Months [Part-Time]
Entry requirements
An Upper Second class honours degree, or the overseas equivalent, in a social science discipline.

Full entry requirements

Contact email
Contact telephone
0161 275 1296
How to apply
Apply online

Course options

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

Course description

  • Do you want a course that provides a thorough grounding in advanced quantitative methods taught within an applied social science framework?
  • Would you like to learn methods of data analysis, including advanced statistics for complex data?
  • Would you like a skills-based course with practical training that is highly regarded for future employment within government and academia?

The course is designed to be accessible to non-statisticians, yet is more focussed than many other existing master's courses in social research methods. You'll need a base level of knowledge in undergraduate research methods which you will build on throughout the course to gain comprehensive statistical and analytical skills.

The course has a strong connection with the Cathie Marsh Institute for Social Research (CMIST), reflecting our commitment to interdisciplinary, integrated research.  Research activities within the Social Statistics discipline area are both methodological and substantive. They focus on a wide range of subject areas including social inequalities, population dynamics and survey methodology. The SRMS MSc course is recognised by both the Economic and Social Research Council (ESRC) and the North West Doctoral Training Centre, from whom we receive a large number of Advanced Quantitative methods (AQM) and CASE awards each year.

The MSc course aims to develop future social scientists who will have a thorough grounding in research, and are equipped with the tools for collecting and analysing statistical data.

Those completing the MSc course are well suited to roles within central and local government, academia and commercial research and our rate of employability is especially high.

Contact the Course Director:

Professor Wendy Olsen


Tel: 0161 2753043

or Admissions Tutor:

Dr K. Purdam


Follow us on Twitter too

Open days

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


For entry in the academic year beginning September 2016, the tuition fees are as follows:

  • MSc (full-time)
    UK/EU students (per annum): £8,000
    International students (per annum): £16,000
  • MSc (part-time)
    UK/EU students (per annum): £4,000
    International students (per annum): £8,000
  • PGDip (full-time)
    UK/EU students (per annum): £5,333
    International students (per annum): £10,666
  • PGDip (part-time)
    UK/EU students (per annum): £2,666
    International students (per annum): £5,333

The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.

All fees for entry will be subject to yearly review and incremental rises per annum are also likely over the duration of courses lasting more than a year for UK/EU students (fees are typically fixed for International students, for the course duration at the year of entry). For general fees information please visit: postgraduate fees . Always contact the department if you are unsure which fee applies to your qualification award and method of attendance.

Self-funded international applicants for this course will be required to pay a deposit of £1000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. This deposit will only be refunded if immigration permission is refused. We will notify you about how and when to make this payment.


Social Statistics will be awarding a number of bursaries in 2016/17.  

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