Key information

Duration: 1 year full-time
Start date: October 2017
CampusSouth Kensington
ECTS: 90 credits

Course Director
Dr Ed Cohen

Closed for 2017 entry
View entry requirements


This course provides outstanding training both in theoretical and applied statistics, with sufficient flexibility to allow you to develop your own specialist interests,providing depth and exposure to a diverse range of statistical applications and methods.

Statistical ideas and tools are used in almost all employment sectors, including banking and finance, government, medical research, the pharmaceutical industry and internet companies.

This one-year full-time programme provides outstanding training both in theoretical and applied statistics, with sufficient flexibility to allow you to develop your own specialist interests.

The course will equip you with a range of statistical skills, including problem-solving, project work and presentation, to enable you to take prominent roles in a wide spectrum of employment and research.


Our MSc in Statistics is accredited by the Royal Statistical Society.


Modules shown are for the current academic year, and are subject to change depending on your year of entry.


Core modules

You take all of the core modules below.

  • Applied Statistics
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Probability for Statistics
  • Research Project

Optional modules – Group 1

You choose at least four optional modules from below.

  • Advanced Statistical Theory
  • Bayesian Data Analysis
  • Financial Econometrics
  • Further Topics in Statistics
  • Graphical Models
  • Machine Learning
  • Medical Statistics
  • Multivariate Analysis
  • Non-parametric Smoothing and Wavelets
  • Official Statistics
  • Pricing and Hedging in Financial Markets
  • Principles of Bayesian Inference
  • Sequential Monte Carlo
  • Statistical Bioinformatics and Genetics
  • Statistics for Extreme Events
  • Statistics in Retail Finance

Optional modules – Group 2

You choose no more than two optional modules from below.

  • Algorithmic Trading and Machine Learning
  • Computational Stochastic Processes
  • Quantitative Methods in Retail Finance
  • Survival Models and Actuarial Applications with Advanced Study
  • Time Series with Advanced Study

Teaching and assessment


  • Dissertation
  • Group tutorials
  • Lectures
  • Modern statistical computing skills
  • Office hours
  • Oral presentation and assessment
  • Problem classes
  • Practical computational sessions
  • Research seminars
  • Virtual learning environment


  • Assessed coursework/tests
  • Enhanced coursework assessments
  • Oral presentation
  • Written examinations
  • Written project

Tuition fees and funding

The level of tuition fees you pay is based on your fee status, which we assess based on UK government legislation.

For more information on the funding opportunities that are available, please visit our Fees and Funding website.

Tuition fees

Tuition fees (Home and EU students)

2017 entry

Tuition fees (Islands and Overseas students)

2017 entry

Postgraduate Master's loan

If you are a Home or EU student who meets certain criteria, you may be able to apply for a Postgraduate Master’s Loan of up to £10,000 from the UK government. The loan is not means-tested, and you can choose whether to put it towards your tuition fees or living costs.


We offer a range of scholarships for postgraduate students to support you through your studies. Try our scholarships search tool to see what you might be eligible for.

There are a number of external organisations also offer awards for Imperial students, find out more about non-Imperial scholarships.

Accommodation and living costs

Living costs, including accommodation, are not included in your tuition fees.

You can compare costs across our different accommodation options on our Accommodation website.

A rough guide to what you might expect to spend to live in reasonable comfort in London is available on our Fees and Funding website.


We welcome students from all over the world and consider all applicants on an individual basis.

For advice on the requirements for the qualifications listed here please contact the Department (details at the bottom of this page).

We also accept a wide range of international qualifications. If the requirements for your qualifications are not listed here, please see our academic requirements by country page for guidance on which qualifications we accept.


Minimum academic requirement

2.1 Honours degree in mathematics, applied mathematics or a related subject, such as engineering or physics.

There is no GMAT or GRE requirement.

We cannot comment on the eligibility of applicants without seeing a full application form along with references and transcripts. Successful applicants must be able to meet all conditions of their offer, including the English language requirement below, before the course begins.

Application deadlines

We consider applications for the MSc in Statistics in three rounds. The deadline for each round is in bold: 

Round 1: October – 11 January 2017
Decisions will be communicated to successful and unsuccessful applicants in February 2017.

Round 2: 12 January – 29 March 2017
Decisions will be communicated to successful and unsuccessful applicants in May 2017.

Round 3: 30 March – 14 June 2017
Decisions will be communicated to successful and unsuccessful applicants in July 2017.

If your application is received after a round’s deadline, it will be considered in the next round.

Applications received after the Round 3 deadline will be considered on a rolling basis until the programme is full. 

Whilst we aim to provide an outcome to your application in the time-frame described above, delay in receiving your two references may result in the decision on your application being delayed.


You may be asked for a short interview (in person or via Skype) as part of the application process. These will normally be reserved for more mature applicants who have been out of education for a significant period of time or those who do not come from a background in Mathematics or Statistics.

International qualifications

The academic requirement above is for applicants who hold or who are working towards a UK qualification. 

We also accept a wide variety of international qualifications. For guidance see our Country Index though please note that the standards listed here are the minimum for entry to the College.

If you have any questions about admissions and the standard required for the qualification you hold or are currently studying then please contact the relevant admissions team.

English language requirement (all applicants)

All candidates must demonstrate a minimum level of English language proficiency for admission to the College.

For admission to this course, you must achieve the standard College requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements for postgraduate applicants.

How to apply

All applicants must apply online.

You can usually apply for up to two courses, although your second choice will only be considered if your first-choice application is unsuccessful.

Most courses don't have a formal closing date, but popular courses close when they are full, so you should apply early to avoid disappointment. There may also be funding deadlines that apply to you.

You will need to upload documents with your applications, which may include transcripts and degree certificates.

Offer holders will need to pay a deposit to secure your place. This will be deducted from the balance of your tuition fees.

For full details on the online application process, or to start your application, please visit the How to Apply section of our website.

ATAS certificate

An ATAS certificate is not required for overseas students applying for this course.

Further information

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Contact us


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Applying for your visa

Visit the International Student Support website for information on applying for a visa.

Imperial students


Use our search tool to find scholarships from Imperial, plus non-Imperial scholarships.