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MSc Statistics (Financial Statistics)

About the MSc programme

This programme is based in the Department of Statistics. It provides high level training in statistics with applications in finance and econometrics. Students learn to analyse and critically interpret data, build statistical models of real situations, and use statistical software packages.

You should have or expect to gain an upper second class honours degree, or equivalent, which includes a substantial amount of statistics and mathematics. Well qualified applicants who do not meet this requirement will be considered on merit.

Applications need to be submitted as early as possible and must include a personal statement outlining your reasons for wanting to study statistics and why you are particularly interested in its financial applications. This should be no longer than 500 words and you are advised to be concise and clear in your statement.

Please note that the Department of Statistics requires references to be submitted with your application form from at least one person who is familiar with your academic achievements. Normally, this will be a tutor from your previous institution.

Programme details

Each MSc student has an academic adviser who is available for guidance and advice on academic or personal concerns. The compulsory courses consolidate students' understanding of fundamental ideas in probability and statistics and introduce advanced topics. Students can choose options to focus on statistics with applications in social science or in finance and econometrics.

Compulsory courses

(* half unit)

Students will be expected to choose courses to the value of two units (one for the research option) from a range of options.

Please read the following important information before referring to full details of course options found in the Programme Regulations.

The programme regulations available are for the current academic session and may be subject to change before the beginning of the next academic year. For more information about course availability in the next academic session, please contact the relevant academic department. The School reserves the right at all times to withdraw, suspend or alter particular courses and syllabuses, and to alter the level of fees. Courses are on occasion capped (limited to a maximum number of students) or subject to entry conditions requiring the approval of the course convenor. The School cannot guarantee that places on specific courses will be available.

MSc Statistics (Financial Statistics) (Research)

Students have the option to register for the MSc Statistics (Financial Statistics) (Research) branch of the programme in the first few weeks of the Michaelmas term. This branch is similar to the MSc Statistics (Financial Statistics) nine month programme but involves a compulsory dissertation which replaces one unit's worth of optional courses and makes the research track a 12 month programme.

Full course descriptions can be found at: lse.ac.uk/statistics

Graduate destinations

The programme provides excellent opportunities for employment and further study. Graduates of the MSc are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society.



Application code: G4U6 (check availability)

Start date: 24 September 2015

Duration: 9 months full-time (9 month master's are not compliant with the Bologna process which may affect the extent to which they are 'recognised'. For more information on Bologna please see - Bologna process). 21 months part-time; with Summer Project: 12 months full-time, 24 months part-time

Intake/applications in 2013: 34/392

Minimum entry requirement: 2:1 degree with substantial amount of statistics and mathematics (see entry requirements)

English requirement: Standard (see English requirements)

GRE/GMAT requirement: None

Fee level: UK/EU £23,976; overseas £24,456

Financial support: Graduate Support Scheme (see Fees and financial support)

Application deadline: None – rolling admissions

Notes: Graduates are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society

Your personal statement should not exceed 500 words