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 indus...
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.<br/><br/>Students will benefit from a thriving, hardworking, friendly and supportive environment in which their interests can be pursued.<br/><br/>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.<br/><br/>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. <br/><br/>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.
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Full-time
Duration
3 Years
Start Date
09/2025
Campus
London School of Economics and Political Science
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
L72
Points of Entry
Unknown
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