MPhil/PhD in Computational Social Methods

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You'll learn to rigorously and creatively apply computational methods to social science research problems. You'll develop advanced skills in computational methods, research design, social scientific thinking and research communication.

This new PhD programme provides the opportunity to take taught courses in research design, computational methods, and others, to update your skills. Your research will benefit from attentive supervision from a supervisory team. Throughout your studies you may draw on our interdisciplinary expertise in areas including political science, statistics, sociology, social psychology, anthropology and criminology.

You'll begin your study on the MPhil and move on to the PhD (subject to certain requirements). Applicants should have some background in both a social science and quantitative/computational methods. Your proposed project should use computational methods in a social science context, to make a contribution that is methodologically innovative, substantively important, or both.

Visit the MPhil/PhD Computational Social Methods online prospectus page.

Please see the Calendar for an outline of the programme structure.

Applications are handled by the LSE Graduate Admissions Office. Official information about the application procedures can be found here.

We welcome applications for research programmes that complement the academic interests of members of staff at the School, and we recommend that you investigate staff research interests before applying.

See the LSE Experts Directory for more information

We carefully consider each application on an individual basis, taking into account all the information presented on your application form, including your:

- academic achievement (including existing and pending qualifications)
- personal statement
- references
- CV
- research proposal
- sample of written work.

See further information on supporting documents

Minimum entry requirements for MPhil/PhD Computational Social Methods

The minimum entry requirement for this programme is an upper second class honours (2:1) degree and a merit in an MSc broadly similar to the MSc Applied Social Data Science, or equivalent.

Some preparation in computational methods, a strong statistics background and research experience in a social science are essential.

English language requirements

The English language requirement for this programme is Research. Read more about our English language requirements.

Competition for places at LSE is strong. So, even if you meet the minimum entry requirements, this doesn't guarantee you an offer of a place.

However, please don’t feel deterred from applying – we want to hear from all suitably qualified students. Think carefully about how you can put together the strongest possible application to help you stand out.

The application deadline for this programme is 27 May 2026.

However, if you’d like to be considered for any funding opportunities, you must submit your application (and all supporting documents) by the funding deadline.

See the fees and funding section on the MPhil/PhD Computational Social Methods online prospectus page for more details.

How long does it take to obtain a PhD?

Obtaining a PhD typically lasts for four years. However, this could vary case by case due to extenuating circumstances.

Can I pursue a PhD part-time?

We will consider applications for a part-time mode of study in some circumstances. A standard PhD programme lasts four years, while part-time studentships will extend to eight years. We advise you to contact our team by email at methodology.research@lse.ac.uk or discuss it with your potential supervisor if you have already identified one.

Can I work alongside my studies?

We do not recommend attempting to pursue a PhD while in full-time employment. However, you may be able to work part-time alongside your studies. Full-time LSE students are generally limited to working 20 hours per week to maintain focus on their studies. The department offers teaching work opportunities for PhD students with relevant experience and expertise.

Will I be able to complete my PhD remotely?

In general, the option for remote completion is limited, often due to commitments to regular seminars and participatory activities integral to the course. While PhD students typically engage in independent work, which may involve fieldwork research, remote completion is possible during specific phases of your study. However, undertaking the entire PhD program remotely is highly discouraged.

How many PhD studentships are available at the Department of Methodology each year?

There are no limits on the number of students accepted each year, and applications from qualifying students from all disciplines are welcome. However, while there is no specific limit on the number of students accepted, it is important to note that scholarships are scarce, and there is intense competition for student funding opportunities.

Can I visit the Department? Are there any open day events?

Our Virtual Open Event will introduce the programmes offered by the Department of Methodology, the content and structure of these programmes and student life in the department.

Attendees will meet the Doctoral Programme Director, programme administrators and current PhD students. There will be time for you to ask any questions about the department or programme.

Missed our virtual open day session? You can watch the on-demand recording here.

If you would like to visit the department in person, please express your interest by emailing methodology.research@lse.ac.uk.

We strongly advise you to review our staff and current PhD student profiles before submitting your application. This will help you seek advice on what to include in the research proposal and gain insight into potential supervisors for your PhD, as well as valuable insights from those already in the academic field.

While we are here to assist you within our department's scope of knowledge, we are unable to provide information or assistance regarding visa or funding-related questions. These topics fall outside of our expertise. We recommend contacting the appropriate department or seeking guidance from the relevant authorities for the information you require.

If you cannot find the answers to your questions, please feel free to contact us at methodology.research@lse.ac.uk.

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MPhil/PhD in Computational Social Methods