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School of Social Sciences

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MSc Social Research Methods and Statistics
Gain expert knowledge in advanced quantitative methods.

MSc Social Research Methods and Statistics

Year of entry: 2018

Overview

Degree awarded
Master of Science
Duration
MA 12/24 months (ft/pt); PGDip 9/18 months (ft/pt)
Entry requirements
An Upper Second class honours degree, or the overseas equivalent, in a social science discipline.

Full entry requirements

How to apply

Apply online

Useful information;

  • There is NO application fee.
  • International (non UK/EU) are advised to apply by 1 June.
  • UK/EU can apply up until 1 September.
  • We DO NOT require references, but please indicate the names of two referees on your form and we will request them if necessary.
  • Writing sample NOT required.
  • Personal statement NOT required.

Course options

Full-time Part-time Full-time distance learning Part-time distance learning
MSc Y Y N N
PGDip Y Y N N

Course overview

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

Course Director: Dr Joe Sakshaug, email; joe.sakshaug@manchester.ac.uk

Admissions Tutor: Dr Kingsley Purdam, email; kingsley.purdam@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 2018, the tuition fees are as follows:

  • MSc (full-time)
    UK/EU students (per annum): £10,000
    International students (per annum): £18,500
  • MSc (part-time)
    UK/EU students (per annum): £5,000
    International students (per annum): £9,250
  • PGDip (full-time)
    UK/EU students (per annum): £6,667
    International students (per annum): £12,333
  • PGDip (part-time)
    UK/EU students (per annum): £3,333
    International students (per annum): £6,166

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.

Scholarships/sponsorships

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

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

Contact details

Academic department
School of Social Sciences
Contact name
Zoe Woodend
Telephone
0161 275 1296
Email
Website
http://www.manchester.ac.uk/social-statistics
Academic department overview

Entry requirements

Academic entry qualification overview

An Upper Second class honours degree, or the overseas equivalent, in a social science discipline.

English language

IELTS - overall score of 7, including 7 in writing with no further component score below 6.0

TOEFL IBT - overall score of 100 with 25 in each section.

TOEFL code for Manchester is 0757

Scores are valid for 2 years.

For students who require a Tier 4 visa to study in the UK, your test score is valid for 2 years preceding the course start date.

For example;

Test taken on or after 17 September 2016 - CAS issued June 2018 = Score is VALID

Test taken before 17 September 2016 = Score is INVALID

Please note that CAS statements are issued only when all conditions of the offer have been satisfied, PDF copy of passport received and the offer accepted.

Applicants from certain countries MAY be exempt from having to provide an IELTS or TOEFL score.  For further advice please email pg-soss@manchester.ac.uk

Pre-Sessional English Courses:

If you eligible to do a pre-sessional English course (either 6 weeks or 10 weeks, depending on your English score), you will be required to successfully complete the course at the required level before you are permitted to register on your academic course).

The dates and fees for next summer (2018) are now available on the English Language Centre's website.

English language test validity

Some English language test results are only valid for two years. Your English language test report must be valid on the start date of the course.

Application and selection

How to apply

Apply online

Useful information;

  • There is NO application fee.
  • International (non UK/EU) are advised to apply by 1 June.
  • UK/EU can apply up until 1 September.
  • We DO NOT require references, but please indicate the names of two referees on your form and we will request them if necessary.
  • Writing sample NOT required.
  • Personal statement NOT required.

Advice to applicants

Points Based System (PBS) 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.

How your application is considered

Applications are initially assessed by the Admissions Team and referred to the Admissions Tutor when required.

Re-applications

If you applied in the previous year and your application was not successful you may apply again. Your application will be considered against the standard course entry criteria for that year of entry. In your new application you should demonstrate how your application has improved. We may draw upon all information from your previous applications or any previous registrations at the University as a student when assessing your suitability for your chosen course.

Course details

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

Email: wendy.olsen@manchester.ac.uk

Tel: 0161 2753043

or Admissions Tutor:

Dr K. Purdam

Email: kingsley.purdam@manchester.ac.uk

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Course unit details

The SRMS course provides a thorough grounding in advanced quantitative methods, taught within an applied social science framework. Whilst the training focuses on advanced quantitative methods, the course is designed to be accessible to students coming from a broad range of disciplinary backgrounds and with varying levels of prior statistical knowledge.

The course is available full-time over one year or part-time over two-years, and may be studied as either an MSc or a Postgraduate Diploma.

All students (MSc and Postgraduate Diploma) take course units totalling 120 credits (eight 15-credit courses) over the year.

Course units typically include:

  • Methodology and Research Design
  • Introduction to Statistical Modelling
  • Statistical Foundations
  • Qualitative Research Methods
  • Survey Research
  • Multilevel Modelling
  • Longitudinal Data Analysis
  • Advanced Survey Methods
  • Social Network Analysis
  • Introduction to Demography
  • Structural Equation Modelling

All students proceeding to MSc must complete a research dissertation of up to 15,000 words. Those on the Postgraduate Diploma may upgrade to the full MSc subject to satisfactory course performance.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: dass@manchester.ac.uk

Careers

Career opportunities

There is an increasing need for well-trained social scientists who are able to apply advanced methods of analysis to complex data. Graduates of our programme in Social Research Methods and Statistics are in a good position to obtain jobs in central government, including the Office for National Statistics (ONS), the academic sector, local government and within the commercial research sector. We have excellent links with ONS and government departments such as the Department for Children, Schools and Families, local authorities and many commercial organisations and thus well placed to assist students in finding jobs. A number of our students already hold research positions (typically in local government or overseas) and take the MSc as part of career development programmes. The SRMS course is ideal preparation for students wishing to pursue doctoral study, and is a formal component of our 1+3 PhD training model. CMIST usually have a number of funded PhD studentships each year and many studentships are taken up by graduates of the SRMS programme.