- UCAS course code
- TL32
- UCAS institution code
- M20
Bachelor of Arts (BA)
BA Sociology and Chinese
- Typical A-level offer: ABB
- Typical contextual A-level offer: BBC
- Refugee/care-experienced offer: BBC
- Typical International Baccalaureate offer: 34 points overall with 6,5,5 at HL
Fees and funding
Fees
Tuition fees for home students commencing their studies in September 2025 will be £9,535 per annum (subject to Parliamentary approval). Tuition fees for international students will be £26,500 per annum. For general information please see the undergraduate finance pages.
Policy on additional costs
All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).
Scholarships/sponsorships
Residence abroad support
We offer dedicated financial support packages of up to £2,000 for residence abroad students, based on household income.
You will be automatically assessed for this, based on your Student Finance financial assessment - you just need to make sure you apply for a financial assessment in the academic year in which your residence abroad will take place.
You may be eligible for this scholarship if you fulfill the following conditions:
- your qualifications were achieved at a state-funded school in the UK;
- your total household income does not exceed £60,000 (as verified by the Student Loan Company);
- you achieve high marks in your A-levels (or equivalent qualifications), usually AAB or above;
- you apply to (and remain on) either a single honours Language course, or a dual-language course.
Awards will be made according to a sliding scale, benefitting those who have achieved the highest marks relative to backgrounds.
You will be automatically assessed for this after you have registered on your degree.
You simply need to make sure you allow the University access to your records when applying for your student lLoan (we cannot otherwise assess your eligibility).
Bursaries and Scholarships
- Find out more from student finance
- Eligible UK students can apply for bursaries and scholarships
- Funding for EU and international students is on our country-specific pages
- Many students work part-time or complete a student internship
Course unit details:
The Survey Method in Social Research
Unit code | SOST20012 |
---|---|
Credit rating | 20 |
Unit level | Level 2 |
Teaching period(s) | Semester 2 |
Available as a free choice unit? | No |
Overview
The course provides an introduction to the theory and practice of quantitative survey research. It is taught in 3 parts. In part one (weeks 1-3) we consider the characteristics of social surveys and their importance as a source evidence about society for academic research and policy debate. In part 2 (weeks 3-6) we look at the way survey data can be analysed. For this we use a range of real survey data and provide a basic training in the data analysis software SPSS. In part 3 (weeks 7-10) we move to consider different ways of using surveys in your own research with a particular focus on final year dissertations. We look at the pros and cons and steps involved in conducting your own survey versus use of existing survey datasets (secondary data analysis).
Pre/co-requisites
This course is taken by all students on Sociology single honours degree programme. It is also available as a free choice to other students taking Sociology pathways on joint degree programmes (including BASS).
Aims
• Explain the characteristics of survey data and the process of survey design that sits behind a survey dataset
• Explain the way surveys can be used in a range of research settings,
• Develop the understanding and practical skills in how to conduct a basic analysis of a survey dataset, including basic training in the use of SPSS (Statistical Package for Social Scientists) for the entry, handling and analysis of survey data
• Develop the critical skills needed to interpret and report simple data analysis.
• Impart knowledge about a range of sources of existing survey data and the way they can be evaluated and used in secondary analysis
• To help you understand the pros and cons of different approaches to using survey research (conducting your own survey versus using existing surveys)
• Give you the knowledge and critical skills to develop and write a dissertation research proposal based on the survey method, including the development of research questions
Learning outcomes
On completion of this unit students will be able to:
• Understand the ways social surveys can be used to better understand the social world in a range of research and policy settings
• Understand the characteristics of a social survey dataset and the process by which survey data is derived
• Understand and be able to apply a range of techniques for the analysis of survey data using specialist data analysis software (SPSS)
• Accurately and critically interpret the output from secondary data analysis and use it to write a research report
• Identify and evaluate a range of secondary sources of survey data
• Be able to design a survey with consideration of questionnaire, sampling and fieldwork
• Evaluate the relative strengths and weaknesses of survey methods in social research
• Write a dissertation research proposal based on the survey method
Teaching and learning methods
There will be a mixture of lectures and workshops.
Please note the information in scheduled activity hours are for guidance only and may change.
Assessment methods
2 essays of 1500 words (worth 50% each).
Feedback methods
Non-assessed weekly workshop exercises provide an opportunity for formative feedback on understanding and progress. Full written feedback is provided for both the coursework assignments in grademark.
Study hours
Scheduled activity hours | |
---|---|
Lectures | 20 |
Practical classes & workshops | 10 |
Independent study hours | |
---|---|
Independent study | 170 |
Teaching staff
Staff member | Role |
---|---|
Nan Zhang | Unit coordinator |