Programmes

MPhil/PhD Statistics

  • Graduate research
  • Department of Statistics
  • Application code G4ZS
  • Starting 2018

This programme offers the chance to undertake a substantial piece of work that is worthy of publication and which makes an original contribution to the field of statistics. You will begin on the MPhil, and will need to meet certain requirements to be upgraded to PhD status.

Our core areas of research are 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 to create a vibrant environment for study and research. The Centre for the Analysis of Time Series (CATS) is closely linked to the Department and we have close links with the Institute and Faculty of Actuaries and industrial partners.

Graduate study of statistics is often vocational, though no progress can be made without a lively intellectual interest in both the methodological principles of statistical modelling and practical applications. You will benefit from a thriving, hardworking, friendly and supportive environment in which your interests can be pursued.

You will be supported by 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. Additionally you will have access to a good collection of research monographs and journals and you may access databases of research information. There is a comprehensive assembly of worldwide official statistics. The Department has a dedicated library with statistical journals and books available to you.

Our research students are also encouraged to undertake some teaching from year two onwards. The Department provides funding to facilitate student attendance at appropriate academic conferences wherever possible.

Programme details

Key facts

MPhil/PhD Statistics
Start date Intake at the start of Michaelmas, Lent and Summer term
Application deadline 26 April 2018. However please note the funding deadlines
Duration Three to four years (minimum 2) full-time
Up to eight years part-time
Availability UK/EU: Open 
Overseas: Open 
Tuition fee UK/EU: £4,299 (for the first year) - provisional
Overseas: £17,904 (for the first year)
Financial support LSE PhD Studentships (deadlines 8 January 2018 and 26 April 2018)
ESRC funding (deadline 8 January 2018)
Minimum entry requirement Taught master’s with a substantial statistical element, usually with a distinction, or equivalent experience
GRE/GMAT requirement None
English language requirements Research (see 'assessing your application')
Location  Houghton Street, London

For more information about tuition fees and entry requirements, see the fees and funding and assessing your application sections.

Programme structure and courses

In addition to progressing with your research, you are expected to take the listed training and transferable skills courses. You may take courses in addition to those listed but you must discuss this with your supervisor.

At the end of your second year (full-time), you will need to satisfy certain requirements and if you meet these, will be retroactively upgraded to PhD status.

First year

Training courses

Optional (not examined)
Courses offered by the London Graduate School in Mathematical Finance
Courses offered by the London Taught Course Centre

Optional (examined)
Master’s-level courses relevant to research and agreed by supervisor in Department, the School or University of London College

Transferable skills courses

Compulsory (not examined)
Annual Research Presentation Event

Optional (not examined)
Departmental Seminar Series
Joint Econometrics and Statistics Workshops with the Department of Economics
Joint Risk and Stochastics and Financial Mathematics Seminar
London Graduate School in Mathematical Finance PhD Presentation Day

Poster Presentations
The Department encourages you to attend and, where the opportunity arises, present a paper or poster at conferences during your PhD programme in relation to your particular research topic.

Optional (examined)
Courses provided by the Department of Methodology 

Second year

Training courses

Optional (not examined)
Courses offered by the London Graduate School in Mathematical Finance
Courses offered by the London Taught Course Centre

Optional (examined)
Master’s-level courses relevant to research and agreed by supervisor in Department, the School or University of London College

Transferable skills courses
Annual Research Presentation Event

Optional (not examined)
Departmental Seminar Series
Joint Econometrics and Statistics Workshops with the Department of Economics
Joint Risk and Stochastics and Financial Mathematics Seminar
London Graduate School in Mathematical Finance PhD Presentation Day

Poster Presentations
The Department encourages you to attend and, where the opportunity arises, present a paper or poster at conferences during your PhD programme in relation to your particular research topic.

Optional (examined)
Courses provided by the Department of Methodology 

Third year

Training courses

Optional (not examined)
Courses offered by the London Graduate School in Mathematical Finance
Courses offered by the London Taught Course Centre

Optional (examined)
Master’s-level courses relevant to research and agreed by supervisor in dDepartment, the School or University of London College

Transferable skills courses

Compulsory (not examined)
Annual Research Presentation Event

Optional (not examined)
Departmental Seminar Series
Joint Econometrics and Statistics Workshops with the Department of Economics
Joint Risk and Stochastics and Financial Mathematics Seminar
London Graduate School in Mathematical Finance PhD Presentation Day

Poster Presentations
The Department encourages you to attend and, where the opportunity arises, present a paper or poster at conferences during your PhD programme in relation to your particular research topic.

Optional (examined)
Courses provided by the Department of Methodology 

Fourth year

Training courses 
Optional (not examined)

Courses offered by the London Graduate School in Mathematical Finance
Courses offered by the London Taught Course Centre

Optional (examined)
Master-s level courses relevant to research and agreed by supervisor in dDpartment, the School or University of London College

Transferable skills courses
Annual Research Presentation Event

Optional (not examined)
Departmental Seminar Series
Joint Econometrics and Statistics Workshops with the Department of Economics
Joint Risk and Stochastics and Financial Mathematics Seminar
London Graduate School in Mathematical Finance PhD Presentation Day

Poster Presentations
The Department encourages you to attend and, where the opportunity arises, present a paper or poster at conferences during your PhD programme in relation to your particular research topic.

Optional (examined)
Courses provided by the Department of Methodology.

You can find the most up-to-date list of optional courses in the Programme Regulations section of the current School Calendar.

You must note however that while care has been taken to ensure that this information is up to date and correct, a change of circumstances since publication may cause the School to change, suspend or withdraw a course or programme of study, or change the fees that apply to it. The School will always notify the affected parties as early as practicably possible and propose any viable and relevant alternative options. Note that that the School will neither be liable for information that after publication becomes inaccurate or irrelevant, nor for changing, suspending or withdrawing a course or programme of study due to events outside of its control, which includes but is not limited to a lack of demand for a course or programme of study, industrial action, fire, flood or other environmental or physical damage to premises. 

You must also note that places are limited on some courses and/or subject to specific entry requirements. The School cannot therefore guarantee you a place. Please note that changes to programmes and courses can sometimes occur after you have accepted your offer of a place. These changes are normally made in light of developments in the discipline or path-breaking research, or on the basis of student feedback. Changes can take the form of altered course content, teaching formats or assessment modes. Any such changes are intended to enhance the student learning experience. You should visit the School’s Calendar, or contact the relevant academic department, for information on the availability and/or content of courses and programmes of study. Certain substantive changes will be listed on the updated graduate course and programme information page.

Supervision, progression and assessment

Supervision

You will be assigned a lead supervisor (and a second supervisor/adviser) who is a specialist in your chosen research field, though not necessarily in your topic. Lead supervisors guide you through your studies.

You may wish to first send an informal application email to the Department of Statistics to enquire about making a formal application within the area of your research interests and to check about the availability of potential supervisors. Please do not email potential supervisors directly.

Progression and assessment

Formal assessment is made towards the end of each Summer Term. This assessment is based on statements made by you and the supervisors in the progress report form. You are also required to complete a supplementary report of one to two pages (A4), providing in more detail an outline of your current research.

The review to upgrade to the PhD normally takes place within two years of full-time registration. Progress is assessed by the first and/or second supervisor in consultation with the PhD programme director and another expert in the field of the research you are undertaking. If satisfactory progress has been made, the programme director will recommend that registration be upgraded to PhD status. The Department's research committee also monitors the progress of PhD students.

Careers

Students who successfully complete the programme often embark on an academic career. Recent doctoral graduates have also gone into careers in investment banking. A list of career destinations for some of our former research students is provided here.

Further information on graduate destinations for this programme

Support for your career

Many leading organisations in the field give careers presentations at the School during the year, and LSE Careers has a wide range of resources available to assist students in their job search. Find out more about the support available to students through LSE Careers

Student stories

Huang Feng

MPhil/PhD Statistics
Suzhou, China

Huang_Feng_7930.170x230jpg

Statistics is important in every industry in modern society; you need statistics to analyse data and ultimately to solve empirical problems. My programme enables me to apply my statistical knowledge to real world problems in finance and economics. 

Assessing your application

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

You may also have to provide evidence of your English proficiency. You do not need to provide this at the time of your application to LSE, but we recommend that you do. See our English language requirements.

When to apply

The application deadline for this programme is 26 April 2018. However to be considered for any LSE funding opportunity, you must have submitted your application and all supporting documents by the funding deadline. See the fees and funding section for more details.

Minimum entry requirements for MPhil/PhD Statistics

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

Most applicants will have little or no prior experience of research and therefore we do not expect a fully-developed research proposal. We are assessing the potential of the applicant for research and the chosen topic. The following is a guideline of what to emphasise in the proposal.

  • pose a research question rather than a very broad research topic
  • be specific, to aid selectors to assess the suitability of the topic for PhD study
  • a statement of how the proposed research builds on earlier research on the topic, with reference to two or three key papers
  • demonstrate your understanding of the area and the need for further research
  • selectors will look for a sense of the merits of your approach
  • most topics will involve an application of the proposed methods to a substantive research question. Give a brief outline of this    question and explain how it will benefit from this particular approach
  • be specific about the training and skills you have to undertake the proposed research (do not simply list courses attended: this information is already available in the CV and transcripts). 

Competition for places at the School is high. This means that even if you meet our minimum entry requirement, this does not guarantee you an offer of admission. 

See international entry requirements  

Fees and funding

Every research student is charged a fee for each year of their programme. The fee covers registration and examination fees payable to the School, lectures, classes and individual supervision, lectures given at other colleges under intercollegiate arrangements and, under current arrangements, membership of the Students' Union. It does not cover living costs or travel or fieldwork.

Tuition fees 2018/19 for MPhil/PhD Statistics

UK/EU students: £4,299 for the first year (provisional)
Overseas students: £17,904 for the first year

The fee is likely to rise over subsequent years of the programme. The School charges UK/EU research students in line with the level of fee that the Research Councils recommend. The fees for overseas students are likely to rise in line with the assumed percentage increase in pay costs (ie, 4 per cent per annum).

Fee status

The amount of tuition fees you will need to pay, and any financial support you are eligible for, will depend on whether you are classified as a home (UK/EU) or overseas student, otherwise known as your fee status. LSE assesses your fee status based on guidelines provided by the Department of Education.

Further information

Fees and funding opportunities

Scholarships, studentships and other funding

The School recognises that the cost of living in London may be higher than in your home town or country, and we provide over £11.5 million in scholarships each year to graduate students from the UK, the EU and outside the EU.

This programme is eligible for LSE PhD Studentships and Economic and Social Research Council (ESRC) funding. Selection for the PhD Studentships and ESRC funding is based on receipt of an application for a place – including all ancillary documents, before the funding deadline. 

Funding deadline for LSE PhD Studentships and ESRC funding: 8 January 2018
Second funding deadline for LSE PhD Studentships: 26 April 2018

Statistics PhD Scholarship

The Department of Statistics offers one scholarship to a 2018/19 offer holder covering fees and living expenses for four years. This scholarship is available for a home UK/EU or international student undertaking research in any statistics discipline, with annual renewal subject to satisfactory academic performance. The scholarship is awarded strictly on academic merit and research potential. To be considered for this scholarship you must submit your application, including all supporting documentation, by 8 January 2018.

In addition to our needs-based awards, LSE also makes available scholarships for students from specific regions of the world and awards for students studying specific subject areas. 

Check the latest information about scholarship opportunities

External funding 

There may be other funding opportunities available through other organisations or governments and we recommend you investigate these options as well.

Find out more about external funding opportunities.

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