Course summary
The MSc Social Research is an advanced degree in social scientific methodology and is recognised by the Economic and Social Research Council (ESRC) as a research training degree. It is suitable for those who wish to prepare for PhD research, as well as those seeking to increase key employability skills in qualitative fieldwork, quantitative data management, and data analytics.
- As a student on this programme, you’ll draw upon a wide variety of expertise from within the Centre for Urban and Community Research, the Methods Lab, and the Department of Sociology more widely which has been rated top 10 in the UK in the QS World University Rankings 2023.
- Based in London in an incredibly culturally diverse area, you will have direct access to one of the most stimulating fieldwork areas through which experience will be acquired conducting ‘live sociology’. This experience combined with undertaking a rigorous curriculum means that upon successful completion of the MSc all students will be proficient in preparing, designing, undertaking, and presenting advanced level social research suitable for all types of audiences.
- Throughout the degree you will undertake rigorous training in both qualitative and quantitative research designs and techniques.
- conducting interviews
- ethnographic research
- discourse analysis
- visual sociology
- computer-assisted qualitative data analysis
- working with quantitative comparative data
- multiple regression analysis
- multi-level modelling
- longitudinal modelling
- Structural Equation Modelling
- Latent Class Analysis
- We encourage students to use their MSc degree as a platform for PhD level research. Goldsmiths is part of the of the South East Network for Social Sciences (SeNSS) through which students can apply for fully-funded ESRC PhD studentships.
- For those looking to refine particular research skills to better understand groups and audiences, staff on the programme have many years’ experience working with charities, government agencies, and private sector companies, and can advise on research techniques and further training courses to fit bespoke needs.
Modules
You'll complete the following compulsory modules: Modelling Social Data I 30 credits Modelling Social Data II 30 credits Methodology Now 30 credits Qualitative Analysis and Writing 30 credits Dissertation 60 credits
Assessment method
Assessment consists of coursework, extended essays, reports, presentations, practice based projects or essays/logs, group projects and reflective essays.
Entry requirements
You should have (or expect to be awarded) an undergraduate degree of at least upper second class standard, or equivalent in a relevant/related subject. You might also be considered if you aren’t a graduate or your degree is in an unrelated field, but have relevant experience and can show that you have the ability to work at postgraduate level. As part of the admissions process, you may be offered an informal advisory meeting with the Programme Convenor. If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.5 with a 6.5 in writing and no element lower than 6.0 to study this programme.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sponsorship information
ESRC
Provider information
Goldsmiths, University of London
New Cross
Lewisham
SE14 6NW