University of Surrey

University of Surrey

Social Research Methods

**Why choose this course** Our MSc Social Research Methods is designed to give you an in-depth understanding of the full methodological toolkit available to social science researchers. These skills are in high demand, and many of our graduates go on to work in research agencies such as the Office for National Statistics, Ipsos Mori and the Home Office, while others go on to study for a PhD. We have an unrivalled research methods heritage, and our teaching is backed by decades of experience. We were the first in the UK to run this type of course in 1974. **What you will study** This course gives equal priority to quantitative and qualitative approaches, and begins with a comprehensive overview of the research essentials. This includes the formulation of research questions and the connections of theory and method, as well as the core data collection approaches and secondary data sources available to researchers, and the main analytic techniques. Once you've established the foundation skills for advanced social research, in the second semester you'll select four modules from a suite of advanced methods courses taught intensively in week-long modules. We designed this innovative modular format to give you an in-depth understanding of particular research techniques, combining structured lectures with practical workshops in our in-house computer lab. It enables you to fully immerse yourself in particular research approaches, while also providing an effective structure for us to build advanced understanding. This also allows you to tailor your learning experience, focusing more closely on qualitative or quantitative options.

Entry requirements

MSc: A minimum of a 2:2 UK honours degree in Social Science. We also require a GCSE pass at C or equivalent in Mathematics. We can also consider relevant work experience if you don't meet these requirements. We also require evidence of basic numeracy (a GCSE pass at grade C or above in maths). English language requirements IELTS Academic: 7.0 overall with 6.0 in in each element.

Course modules

Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps. FULL-TIME Year 1 (full-time) MASTERS DISSERTATION - Core EVALUATION RESEARCH & EVIDENCE BASED POLICY - Compulsory FIELD METHODS - Compulsory METHODOLOGICAL ISSUES IN RESEARCH DESIGN - Compulsory SOCIAL DATA ANALYTICS - Compulsory AGENT-BASED MODELLING FOR THE SOCIAL SCIENTIST - Optional COMPLEX SOCIAL SYSTEMS - Optional COMPUTER-ASSISTED QUALITATIVE AND MIXED METHODS DATA ANALYSIS: HARNESSING NVIVO - Optional MULTILEVEL MODELLING FOR SOCIAL SCIENTISTS - Optional ONLINE SOCIAL RESEARCH - Optional PARTICIPATORY SYSTEMS MAPPING - Optional PRACTICAL SURVEY DESIGN AND WEB-BASED METHODS - Optional SOCIAL NETWORK ANALYSIS - Optional STATISTICAL MODELLING - Optional Optional modules for Year 1 (full-time) - FHEQ Level 7 Modules in semester 1 are taught in two-hour classes each week, and students must complete all four modules. Modules in Semester 1 are typically scheduled on Tuesday and Friday. In semester 2 students must select a minimum of four option modules from the available selection. Modules in Semester 2 are each taught intensively across one week. PART-TIME Year 1 (part-time) FIELD METHODS - Compulsory SOCIAL DATA ANALYTICS - Compulsory AGENT-BASED MODELLING FOR THE SOCIAL SCIENTIST - Optional COMPLEX SOCIAL SYSTEMS - Optional COMPUTER-ASSISTED QUALITATIVE AND MIXED METHODS DATA ANALYSIS: HARNESSING NVIVO - Optional MULTILEVEL MODELLING FOR SOCIAL SCIENTISTS - Optional ONLINE SOCIAL RESEARCH - Optional PARTICIPATORY SYSTEMS MAPPING - Optional PRACTICAL SURVEY DESIGN AND WEB-BASED METHODS - Optional SOCIAL NETWORK ANALYSIS - Optional STATISTICAL MODELLING - Optional Optional modules for Year 1 (part-time) - FHEQ Level 7 Modules in semester 1 are taught in two-hour classes each week, and students must complete two modules ('Field Methods' and 'Social Data Analytics'). Modules are scheduled on a Friday. In semester 2 students must select two option modules from the available selection. Modules in Semester 2 are each taught intensively across one week. Year 2 (part-time) EVALUATION RESEARCH & EVIDENCE BASED POLICY - Compulsory METHODOLOGICAL ISSUES IN RESEARCH DESIGN - Compulsory THE PRACTICE OF RESEARCH - Optional AGENT-BASED MODELLING FOR THE SOCIAL SCIENTIST - Optional COMPLEX SOCIAL SYSTEMS - Optional COMPUTER-ASSISTED QUALITATIVE AND MIXED METHODS DATA ANALYSIS: HARNESSING NVIVO - Optional MULTILEVEL MODELLING FOR SOCIAL SCIENTISTS - Optional ONLINE SOCIAL RESEARCH - Optional PARTICIPATORY SYSTEMS MAPPING - Optional PRACTICAL SURVEY DESIGN AND WEB-BASED METHODS - Optional SOCIAL NETWORK ANALYSIS - Optional STATISTICAL MODELLING - Optional MASTERS DISSERTATION - Core Optional modules for Year 2 (part-time) - FHEQ Level 7 Modules in semester 3 are taught in two-hour classes each week, and students must complete two modules ('Methodological Issues in Research Design', and 'Evaluation Research and Evidence Based Policy'). Modules are scheduled on a Tuesday. In semester 4 students must select two option modules from the available selection. Modules in Semester 4 are each taught intensively across one week.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2019 - 12 Months
MSc Part-time September 2019 - 24 Months

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Main Site GU2 7XH South East

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