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MSc Applied Social Research (Social Statistics and Social Research)

MSc Applied Social Research (Social Statistics and Social Research)

Different course options

Full time | University of Stirling | 12 months | 18-JAN-21

Study mode

Full time

Duration

12 months

Start date

18-JAN-21

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Statistics Social Data Analysis

Course type

Taught

Course Summary

This Masters course provides you with the skills and knowledge you need to carry out robust social research and evaluation.

You’ll learn how to collect, analyse and report qualitative and quantitative data, taking account of ethics, reliability and validity. You’ll also critically examine the theoretical foundations that underpin social scientific research and explore the issues with social network research. Finally, you’ll develop an understanding of the relationship between research and policymaking.

Our MSc is recognised by the Economic and Social Research Council (ESRC) as meeting the research training guidelines for undertaking a PhD in Sociology, Social Policy, Social Work or Socio-legal Studies, as well as preparing you for an ESRC-recognised interdisciplinary PhD in Families, Relationships and Demographic Change and Social Care.

Course objectives

The objective of our MSc Applied Social Research is to provide you with the skills and knowledge required to collect, analyse and report qualitative and quantitative data, taking account of ethics, reliability and validity. Your studies will enable you to:

  • critically examine the theoretical foundations that underpin social scientific research
  • examine issues concerning comparative social research
  • develop your understanding of the relationship between research and policy, and the meanings of evaluation, its terminology.

Students can exit at PG Cert and PG Dip awards.

Modules

This module introduces students to a range of ideas and concepts which are essential when working with social statistics, but not conventionally taught to quantitative students. Rather than concentrating on the mechanics of methods, this module focuses upon the data management and refined understanding of variables which are necessarily for high quality, replicable work. Students will learn the importance of detailed documentation and appropriately constructed electronic syntax files. This will include merging datasets, data harmonisation and undertaking detailed analysis of variable compatibility with research questions.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£6,000

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£15,250

Average for all Postgrad courses (per year)

£12,227

Entry requirements

A minimum of a second class honours degree (2.1 preferred) or equivalent in a relevant subject. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply.