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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. Welcome

General Information

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MSc Offer Holders > Find out how to prepare for your arrival in September 2024!

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Statistics at LSE > An introduction to the discipline

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Research > Find out about our research specialisms and research community

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Want to study a MSc in the Department of Statistics? Discover everything you need to know in our virtual open day video! #PartofLSE

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Would you like to pursue a PhD in the Department of Statistics? Find out more and check out our virtual open day video! #PartofLSE

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Ever thought about a BSc in the Department of Statistics? Watch our virtual open day video! #PartofLSE

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Data Science > Concerned with the development of machine learning and statistical methods

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Probability in Finance and Insurance > Find out more about this research group

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Social Statistics > Deals with the development of statistical methods

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Time Series and Statistical Learning > Discover our Research group

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Data Science Institute (DSI) > Established to foster the study of data science

General enquiries Please email [email protected]

General Enquiries [email protected]

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Department of Statistics, 6th floor, Columbia House, Houghton Street, London, WC2A 2AE

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  • Prospective Students
  • Current Students
  • MSc Offer Holders

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PhD Programme Structure

A PhD offers the chance to undertake a substantial piece of supervised work that is worthy of publication and which makes an original contribution to knowledge in a particular field. 

Year by Year

First year: mphil.

All students registering for a programme of study leading to a PhD begin under MPhil registration. The opportunity to upgrade this registration to PhD typically comes in the second year.

The following courses are mandatory:

  • ST505 Statistical Modelling and Data Analysis 
  • ST552 Probability and Mathematical Statistics I

and one of:

  • ST510 Foundations of Machine Learning
  • ST553 Probability and Mathematical Statistics II

Students are expected to attend courses suggested to them by their supervisor and perform well in any mandatory assessments. They should also complete any necessary training in research techniques and/or computing.

Throughout their first year students perform literature searches and become more familiar with their chosen research topic. By the end of the year they are expected to have written up an introductory chapter for their thesis, as well as any new results they may have obtained. Assessment by the supervisor is based on these. Students will be asked to present their research topics at the annual PhD presentation event.

All MPhil/PhD students at the London School of Economics have the opportunity to take advantage of research methodology courses provided by the  Department of Methodology . Further courses are available at the  London Graduate School in Mathematical Finance  and the  London Taught Course Centre (LTCC) . MPhil/PhD students are encouraged to make full use of these additional opportunities.

Second year: MPhil/PhD

In the second year students become more deeply involved with their research topic, producing and writing up new results. During this time students need to meet with supervisors on a regular basis to discuss their academic development and at some stage during the year there will be a formal review their progress.

Following the successful assessment of their work, students may be recommended for upgrade to PhD. Students should also be able to present their current research at departmental seminars and will be asked to present their research findings at the annual PhD presentation event. 

Third Year: PhD

The third year demands considerable and rapid progress with your research.A substantial part of the year should be spent consolidating material that you have already assembled. You may be in a position to begin writing your thesis.

Fourth Year: PhD

The final year is primarily focused on writing up your thesis. The role of your supervisor is to ensure the thesis is of a high standard. Towards the end of the year you will be required to submit your thesis. 

Thesis Examination

When a thesis is nearly ready for submission, the supervisor will nominate a suitable internal examiner and external examiner. The internal examiner will be from the LSE or another college of the University of London, while the external examiner will be from another university. The appointed examiners will normally require at least two months to read a thesis once it has reached them. After the examiners have read the thesis, a date will be arranged for a viva examination. Students should expect to give a short presentation of their work and answer general questions on their area of research, as well as on the details of their thesis. Students may request the attendance of their supervisor at the viva, but the supervisor will speak only if asked to do so by the examiner.

At the conclusion of the viva, examiners will usually inform candidates of the unofficial outcome of the examination. In the best circumstances the thesis will be accepted without change or subject only to minor corrections. Once these are made, an electronic copy (PDF format) must be submitted and official confirmation of the award will follow. In less ideal circumstances a student might be required to undertake more substantial revision of their thesis or an award of MPhil may be decreed instead. In some cases a thesis may be rejected completely.

Please note that the maximum period of full-time registration is four years .

Supervision

Each student is assigned a first and second supervisor with whom they meet frequently to discuss their research. There is also plenty of opportunity to participate in poster presentations, give seminars and attend advanced training and conferences.

Photo of a group of smiling people. Text states LSE Statistics PhD Open Day, Monday 28 November 2022

PhD Open Day 2022 View the slides and video of the day

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PhD Overview Back to PhD homepage

Apply

PhD Application Process

Money

PhD Funding Opportunities

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FAQs Frequently Asked Questions

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PhD Handbook Our guide for current students

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Past PhD students A listing of our PhD graduates

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Visiting Research Students How to apply

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PhD Academy A dedicated space for LSE PhD students

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Graduate Career Destinations What our PhD graduates have done next

IMAGES

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  5. LSE European Institute PhD Info Session 2023

  6. My experience in the Department of Statistics

COMMENTS

  1. PhD in Statistics

    Our PhD programme is designed to produce professional social scientists, well versed in a range of advanced statistical techniques and methods, in addition to having an in-depth knowledge of your topic of interest. The Department of Statistics is one of the world's leading centres of quantitative methods in the social sciences and has long been ...

  2. Yutong Wang

    Stats PhD candidate at LSE · Experience: The London School of Economics and Political Science (LSE) · Education: The London School of Economics and Political Science (LSE) · Location: London · 258 connections on LinkedIn. View Yutong Wang's profile on LinkedIn, a professional community of 1 billion members.

  3. LSE Department of Statistics Employees, Location, Alumni

    LSE Department of Statistics | 2,020 followers on LinkedIn. Department of Statistics, London School of Economics and Political Science | The Department of Statistics offers an opportunity to study ...

  4. Sahoko Ishida

    I am a PhD student in Statistics at London School of Economics (LSE), supervised by Professor Wicher Bergsma. My research interests include: Gaussian process models, kernel methods, spatio-temporal analysis, statistical modelling, Bayesian inference and efficient and interpretable statistical learning. I am particularly interested in applications to the area of environmental studies, and ...

  5. Camilo Cárdenas-Hurtado, PhD

    Economist, PhD in Statistics. Current research interests include Latent Variable Modeling, Computational Statistics, and Statistical applications in the Social sciences. Previous working experience in Central Banking and Macroeconomic Analysis. | Learn more about Camilo Cárdenas-Hurtado, PhD's work experience, education, connections & more by visiting their profile on LinkedIn

  6. Department of Statistics

    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.

  7. Xuzhi Yang

    Ph.D. student in Statistics @LSE Data Science Group · I am a Ph.D. student in Statistics at the London School of Economics and Political Science. Currently, I am interested in applying optimal transport in statistical theory, such as vector quantile regression and vector rank. Previously, I also did some work on high-dimensional statistics, such as high-dimensional covariance/correlation ...

  8. PhD Application Process

    PhD Application Process. Applications must be submitted online via the Graduate Admissions Office . The application process begins in October and continues until all places are filled. We strongly recommend that you apply by the end of December for entry in September of the following year. We assess applications as quickly as possible, but you ...

  9. 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. MSc Offer Holders > Find out how to prepare ...

  10. LSE Department of Statistics: Alumni and Graduates

    LSE Department of Statistics | 2,093 followers on LinkedIn. Department of Statistics, London School of Economics and Political Science | The Department of Statistics offers an opportunity to study ...

  11. LSE Statistics on LinkedIn: #phd

    Department of Statistics, The London School of Economics and Political Science (LSE) 8h

  12. PhD Programme Structure

    PhD Programme Structure. A PhD offers the chance to undertake a substantial piece of supervised work that is worthy of publication and which makes an original contribution to knowledge in a particular field. Year by Year. First Year: MPhil. All students registering for a programme of study leading to a PhD begin under MPhil registration.

  13. Andrew C.

    Andrew is a graduate BSc Mathematics with Statistics student (First class Hons) who is beginning to specialise in Statistics. He has also completed an MSc Statistics - Theory and Methods (Distinction) and is currently engaged in PhD research on Wavelets in Point Processes. Moreover, he is also a Google Summer of Code student working on creating and maintaining packages for R Project for ...

  14. Christine Y.

    Assistant Professor (Education) and Programme Director for BSc Data Science at The London School of Economics and Political Science (LSE) · Experience: The London School of Economics and Political Science (LSE) · Education: The London School of Economics and Political Science (LSE) · Location: United Kingdom · 65 connections on LinkedIn. View Christine Y.'s profile on LinkedIn, a ...

  15. MPhil/PhD Statistics

    LSE offers generous financial aid to its graduate students each year. Awards range from a contribution to tuition fees to full coverage of all expenses. At master's level, the value of support given by LSE ranges in value from 10 per cent of the tuition fee to a full fees and maintenance award.

  16. The London School of Economics and Political Science (LSE)

    The London School of Economics and Political Science (LSE) | 746,392 followers on LinkedIn. We're a world-leading university, unique in our dedication to the social sciences.

  17. LSE Data Science Institute

    LSE Data Science Institute | 3,047 followers on LinkedIn. The Data Science Institute is an interdisciplinary initiative in data science at the London School of Economics. | The institutional ...