This programme aims to provide students with a sound background in social research design and the most up-to-date training in methods of data collection and analysis.
The College of Social Sciences welcomes all postgraduates to the recently redesigned MA in Social Research programme which continues to enjoy full Research Training recognition by the Economic and Social Research Council (ESRC). This programme aims to provide students with a sound background in social research design and the most up-to-date training in methods of data collection and analysis. The combination of core modules and advanced training courses on more advanced topics provides maximum flexibility for taught postgraduate and research students throughout their study.
The core elements of the programme are delivered by staff across the entire College, many of whom are engaged in cutting-edge research in their own fields. Students benefit by undertaking this training with students from numerous diverse departments including the Business School, Economics, Education, Government and Society, Institute of Applied Social Studies and Social Policy; and within the wider College. Students will also receive more discipline-specific research training, as well as dissertation supervision, provided by individual departments. On completion of this MA, many students continue their studies as a graduate research student, or pursue a career in research in the public, private, or voluntary sector
- Introduction to Social Science Research (20 credits)
- Research Design (20 credits)
- Thesis-related preparation
- Information Skills for Social Sciences
- University Programme of Skills Training (as necessary)
- Dissertation-related preparation
- Social Research Methods I (20 credits)
- Social Research Methods II (20 credits)
- Thesis-related preparation
- Four advanced training courses (10)
- Dissertation (60)
All students registered on the MA in Social Research will take:
1) Four core modules:
- Introduction to Social Science Research
- Research Design
- Social Research Methods I
- Social Research Methods II
2) Four elective modules (10 credits each) from the advanced training programme below
3) A 14,000 word dissertation (60 credits)
Advanced Training Programme
Unless stated, all advanced training courses run as 2-day intensive workshops from 10–4pm with breaks. This list is updated regularly as new courses are approved so do check this website from time to time to see what is on offer.
These advanced training courses are open to all research students in the College (and some departments in other Colleges, such as Geography, subject to the discretion of the Programme Team). However, places on each course are limited and priority will be given to MA Social Research students.
These advanced training courses are also open to all staff in the University who may wish to attend without completing the assessments. However, all doctoral researchers and staff who wish to do so will be placed on a waiting list. Confirmation will be sent a week before the course dates.
Advanced Training courses run in Semester 3, unless otherwise stated
- Activity Theory and its Research Applications
- Advanced Qualitative Data Analysis (using NVivo)
- Analyzing Hierarchical and Panel Data
- Approaches to Research on Discourse
- Documentary Research in Education, History and the Social Science
- Ethnography and Language in the Social Sciences
- Factor Analysis
- From Multiple Linear to Logistic Regression
- Introduction to Time Series Regression
- Introduction to Econometric Software (module runs in Semester One)
- Narrative Research
- Policy Evaluation
- Q Methodology – A Systematic Approach for Interpretive Research Design
- Randomised Controlled Trials
- Researching Disability
- Secondary Data Analysis in Social Research
- The Role of Thinking (subject to approval)
- Visual Research Methods
NB: some courses have pre-requisites, e.g. to register on Multiple Linear and Logistic Regression, Factor Analysis, or Narrative Research, you will need to have passed Social Research Methods II (20 credits module), or equivalent. You will need to provide evidence that you have passed a similar course on quantitative/qualitative data analysis where appropriate.
To register for the above advanced training courses, please e-mail: email@example.com
specifying which courses you are interested in. When registering for courses, please provide your name, student ID, department/programme you are affiliated to, and your e-mail address.
You will receive a confirmation e-mail, acknowledging your request, and advising you of availability.
If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: www.pg.bham.ac.uk