For more information about Research Methods at City, University of London, please visit the webpage using the button above.
How long you will study
Domestic course fees
GBP 3250 per year
How you will study
International course fees
GBP 6500 per year
Empower yourself as a producer and user of empirical research by developing a methodological toolkit of knowledge and skills.
Who is it for?
This programme is for students who wish to develop their knowledge and skills as a professional researcher in academia, private or public sectors. It is suitable for those seeking to undertake foundational training for doctoral level research, as well as those planning to work in an environment where they might need to commission, undertake, or otherwise critically engage with empirical social research.
Students will typically have a first degree in an arts or social sciences subject. Some students come to us with prior experience of conducting empirical research, or using it, while some are new to the field - the programme thrives on the diversity of experiences and interests of its students.
The aim of the course is to boost your understanding, appreciation and practice of qualitative and quantitative research methods. It is taught by academics in the School of Arts and Social Sciences, so whatever your academic or professional background, you will achieve a broad perspective on the production and consumption of empirical research across a range of disciplines. At the same time, you will be able to pursue your own subject specialism through elective module choices and by conducting your own original research for your dissertation.
In the course we aim to equip you with an overview of key issues in research design and philosophical foundations of social research. We offer several modules in applied quantitative and qualitative data collection and analysis. These equip you with a set of practical skills to enable you to conduct and critically read research using these methods, and provide a firm foundation from which you can pursue further specialist training.
Requirements and how to apply
Applicants should have a first or upper second class honours degree in a social science discipline, but other relevant subjects will be considered. Applications are also welcome from those with experience of working in a relevant area. An equivalent qualification from an overseas institution will be considered.
Students are required to have a grade C or above in Mathematics at GCSE or equivalent.
All students are expected to be computer literate
INTO City, University of London
Don't meet the entry requirements? INTO City, University of London offers a range of academic and English language programmes to help prepare you for study at City, University of London. You'll learn from experienced teachers in a dedicated international study centre.
These programmes are designed for international students who do not meet the required academic and English language requirements for direct entry. To prepare for this degree course, learn more about the Graduate Diploma in Social Sciences and the Arts.
For students whose first language is not English, the following qualifications will meet the English language requirement for entry to the programme:
If you are not from the European Economic Area / Switzerland and you are coming to study in the UK, you may need to apply for a visa or entry clearance to come to the UK to study.
The way that you apply may vary depending on the length of your course. There are different rules for:
If you require a Tier 4 student visa to study in the UK, you cannot undertake any City courses on a part-time basis.
For more information see our main Visa page.
How to apply
The application process for 2018 entry is now open:
If you require assistance regarding your application or have any queries then please contact:
Tel: +44 (0)20 7040 0249, +44 (0)20 7040 3721
You will need to submit:
The admissions tutor may request academic references at a later date to help make a decision on your application.
Teaching and learning
Teaching is delivered predominantly by lecturers and other academic staff across the School. You will experience a combination of lectures, seminars, workshops and computer lab sessions. You will be expected to read in preparation for classes, and to participate in discussions, group work, presentations and other practical activities. You will be expected to take responsibility for your own learning and to engage in independent study. You will be guided by reading lists for each module, and teaching materials will be made available via the virtual learning environment Moodle. The dissertation is a major part of your MSc work, for which you will receive individual supervision.
Assessment is by means of coursework (written assignments, essays or reports), class tests, presentations, unseen written examinations, and the dissertation. The particular assessment details vary according to the module being studied. Your overall degree result is based on your performance in the taught modules and the dissertation.
The course consists of taught modules from interdisciplinary core subjects, plus department-specific elective modules, and a research dissertation.
In full-time study you will typically take four 15-credit modules in Term 1 and four in Term 2. The balance of teaching between the terms may vary according to your module choice. Most modules are worth 15 credits each, with a few elective modules worth 30 credits. Your dissertation is worth 60 credits.
As a general guide, a 15-credit module delivered over ten weeks of teaching will typically comprise an hour-long lecture and an hour-long seminar or workshop each week. We would notionally expect you to spend 150 hours in total studying for each 15-credit module (this time includes time spent attending lectures and seminars, reading, working through exercises, preparing for examinations, writing coursework, using online resources, navigating Library resources, and so on).
You will take six core modules alongside your dissertation. Your taught core modules will be as below:
You will choose one of the following core quantitative analysis modules (or two if you do not study Introduction to quantitative inference) with the guidance of the Programme Director:
* May not be compulsory if you have prior training in quantitative methods.
** You may study Statistical models or Statistical modelling, but not both.
In addition, you take one or two elective modules (to the value of 30 credits) from the following list.
Some modules have a stronger methodological element, while some are more substantively focused:
Culture and Creative Industries (Sociology Department)
Department of Journalism
Department of Economics
Department of International Politics
Department of Psychology
Department of Sociology
*Please note, elective modules are run subject to minimum enrolment numbers/availability and may vary slightly from year to year.
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Notes about fees for this course
Part-time: £3,250 per year
Part-time: £6,500 per year
More about fees
Fees in each subsequent year of study (where applicable) will be subject to an annual increase limited by the All Items Retail Prices Index. We will confirm any change to the annual tuition fee to you in writing prior to you commencing each subsequent year of study (where applicable).
Take a look potential sources of funding for postgraduate study.
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Find out more about the Postgraduate Solutions Study Bursary
Graduate Loyalty Discount: The School of Arts & Social Sciences offer a 10% discount on tuition fees for all City graduates.
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You will have the opportunity to learn a range of statistical software applications to aid data collection and analysis, such as SPSS, Stata, MatLab and R.
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