Master's · LSE Statistics
LSE's MSc Statistics is a nine-month full-time course for 2027/28, or 21 months part-time for Home students, providing intensive training in statistics applicable to the social sciences, economics and finance. Its page asks for a 2:1 in a relevant discipline including a substantial amount of statistics and mathematics. There is no fixed deadline, and the statement of academic purpose should not exceed 500 words.
2027-28 entry · Official information
Taken from the LSE graduate programme page for the MSc Statistics (application code G4U5, academic year 2027/28) and read on 3 November 2026. The page describes 2027-28 entry; confirm every date and rule on the page before you rely on it.
The entry requirement is an upper second class honours degree or equivalent in a relevant discipline, including a substantial amount of statistics and mathematics. Competition is strong, and meeting the minimum does not guarantee an offer.
The statement should say why you want the programme and why you chose LSE. If your background is outside mathematics or statistics, explain how your experience is relevant and give details of your current studies.
If you apply for more than one choice in the Department of Statistics, the page recommends two separate personal statements.
Applications are considered on a rolling basis and close once the programme is full. To be considered for funding, applicants must submit by the funding deadline. The start date is 27 September 2027.
The compulsory course is Statistical Inference: Principles and Methods, and students take courses to the value of three and a half units from a range of options.
The programme is nine months full-time for Home and Overseas students, or 21 months part-time for Home students.
Official sources
Read on 3 November 2026 on the LSE graduate programme page for the MSc Statistics (application code G4U5, academic year 2027/28), which describes 2027-28 entry. The country-specific entry table, the English language requirements page, the supporting-documents page, the option lists, the funding deadlines and the fees were not read and are not stated.
Fit
The page ties eligibility to the content of your degree. The readings below mix LSE's wording with Avandy's judgment, and the labels say which is which.
Fits the rule. The aim is to foster an interest in theoretical and applied statistics and equip students for work as a professional statistician.
The page says a relevant discipline including a substantial amount of statistics and mathematics. List the statistics and mathematics modules you have taken, with their content.
The page asks applicants whose background is outside mathematics or statistics to explain how their experience is relevant and to give details of their current studies. The substantial-content condition still applies.
Decision
The compulsory course is small and most of the degree is options.
More advanced statistical modelling, computational methods, statistical computing and advanced probability theory, plus specialist courses from the Departments of Methodology, Mathematics and Economics.
The page offers indicative pathways, including a route with a broad area of applications. Check the current list in the School Calendar.
Decide your application area before you write the statement, since the page frames the degree as statistics applied to social sciences, economics and finance.
Application
The page sets a short statement and lists extra advice for part-time and multiple-choice applicants.
Concise, up to 500 words: why this programme, why LSE, and brief details of your academic background and aspirations.
Address your motivations to study part-time, how you will balance study with part-time work and, if applicable, your employer's support.
With 500 words, spend most of them on the statistics and mathematics you have studied and on one applied question you want to pursue. Apply early within rolling admissions.
Planning
The page describes the 2027/28 academic year, and the rules here belong to that year.
Map your degree to statistics and mathematics content, decide full-time or part-time, draft the statement and note the funding deadline if relevant. Re-read the page before submitting, because LSE says programmes can change.
Support
Avandy provides independent academic and admissions support. It is not affiliated with the London School of Economics and Political Science or any of its departments. Support sits within the Avandy Trinity Advisory Model: a Strategic Admissions Consultant, a PhD-level Academic Mentor and a Subject-specific Tutor, working to the published requirements of each course. No outcome is promised.
Questions
A 2:1 or equivalent in a relevant discipline, including a substantial amount of statistics and mathematics.
The page says the personal statement should be concise and not exceed 500 words.
No fixed deadline. Applications are considered on a rolling basis and close once the programme is full.
The page lists a 21-month part-time mode for Home students.
Statistical Inference: Principles and Methods, with the rest of the degree taken from a range of options.
Students and families
Tell us about your degree, your grades, your relevant experience and the master's courses you are weighing. A senior adviser will review the academic profile before recommending how to prepare the application.
