Entry requirements

The minimum entry requirement for this programme is a distinction in a taught master’s (or equivalent) with substantial statistical content, or equivalent experience.

Months of entry


Course content

About the MPhil/PhD programme

This programme offers the chance to undertake a substantial piece of work that is worthy of publication and which makes an original contribution to a chosen research area. Our core areas of research are data science, social statistics, time series and statistical learning, as well as probability and risk management in insurance and finance. We enjoy close links with other departments and offer regular seminars and other departmental activities that help create a vibrant environment for study and research. We also have close links with the Institute and Faculty of Actuaries and industrial partners.

Students will benefit from a thriving, hardworking, friendly and supportive environment in which their interests can be pursued.

We have reserved computing resources (including networked departmental workstations exclusively for the use of research students) and an extensive collection of software – both commercial packages and in-house products for our students. There is a comprehensive assembly of worldwide official statistics. The Department has a dedicated library with statistical journals and books available.

The first year of study includes a selection of PhD courses to consolidate and further mastery of contemporary statistics foundations, while our research students build up a more solid research idea before presenting at an annual PhD presentation event.

From year two onwards, our research students are also encouraged to undertake some teaching, which is a valuable experience and an integral part of training. The Department provides funding to facilitate student attendance at appropriate academic conferences wherever possible.

Department of Statistics

The Department is home to internationally respected experts in statistics and data science. Maintaining and advancing our leading reputation for teaching and research is our top priority. We offer a vibrant research environment and a comprehensive programme of undergraduate and postgraduate degrees. The Department has grown in recent years, especially in the area of data science which is a key priority for education and research in the LSE2030 strategy. We aim to play a leading role in fostering the study of data science and new forms of data, with a focus on its social, economic, and political aspects.

Information for international students

LSE is an international community, with over 140 nationalities represented amongst its student body. We celebrate this diversity through everything we do.

If you are applying to LSE from outside of the UK then take a look at our Information for International students.

Fees and funding


Every graduate student is charged a fee for their programme. Visit the website for more information about the fees.


The School recognises that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to home and overseas students.

LSE offers studentships to new PhD students in the form of LSE PhD Studentships, LSE ESRC Studentships, LAHP AHRC Studentships and LSE & III PhD Studentships on Analysing and Challenging Inequalities.

These awards are open to high calibre students of all nationalities studying across all research areas at the School.

Find out more about financial support.

Qualification, course duration and attendance options

  • MPhil/PhD
    full time
    24-48 months
    • Campus-based learningis available for this qualification

Course contact details

Student Marketing, Recruitment and Study Abroad
+44 (0)20 7955 6613