Mathematics

Exposing students to a diverse range of statistical applications and methods.

Key information

Duration: 1 year full-time
Start date: September 2019
Location: South Kensington
ECTS: 90–92.5 credits
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Overview

Statistical ideas, tools and methods 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 in both theoretical and applied statistics. The variety of elective modules to choose from, allows you to develop your own specialist interests, providing depth and exposure to a diverse range of statistical applications and methods.

Streams

You apply to one of the streams below in the first instance. The general stream enables you to choose modules across a variety of topics, whereas the specialist streams focus on a specific theme.

  • MSc Statistics
  • MSc Statistics (Applied Statistics)
  • MSc Statistics (Biostatistics)
  • MSc Statistics (Data Science)
  • MSc Statistics (Statistical Finance)
  • MSc Statistics (Theory and Methods)

The formal qualification received will include the name of the specialist stream and therefore can be used to indicate to employers or future research supervisors what they have specialised in during their MSc. For example: MSc Statistics (Applied Statistics).

As a limited number of places exist for each specialist stream, unsuccessful applications for these streams will automatically be considered for the general MSc in Statistics.

Study programme

A common set of core modules in the autumn term ensures that all students obtain advanced knowledge in the fundamental areas of probability theory, statistical inference and applied and computational statistics.

A large and diverse set of elective modules is offered in the spring term, which provides the flexibility for you to develop your own specialist interests.

During the summer term, you complete a research project with a member of academic staff on a state-of-the-art research problem that suits your interests.

The assessment for your degree is made up of two-thirds core and optional modules, and one-third research project.

Professional accreditation

Our MSc in Statistics is accredited by the Royal Statistical Society. Graduates from accredited degrees can apply to the Royal Statistical Society for the professional award of Graduate Statistician. Graduates from non-accredited courses may also apply for this status and will be considered on an individual basis.

The Royal Statistical Society are introducing a new accreditation scheme from 2018 entry onwards, and all accredited universities will need to re-apply for their accredited status. The Department will apply for accreditation post-2018 and expects to be accredited into the future.

Careers

This course equips students with a range of transferable skills, including programming, problem-solving, critical thinking, scientific writing, project work and presentation. Many graduates go on to undertake roles in employment and research sectors.

Structure

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

Please note that the curriculum of this course is currently being reviewed as part of a College-wide process to introduce a standardised modular structure. As a result, the content and assessment structures of this course may change for your year of entry. We therefore recommend that you check this course page before finalising your application and after submitting it as we will aim to update this page as soon as any changes are ratified by the College.

Find out more about the limited circumstances in which we may need to make changes to or in relation to our courses, the type of changes we may make and how we will tell you about changes we have made.

Structure

General stream

Core modules

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

You will complete an extensive research project full-time between May and September, with the opportunity to work with a member of academic staff on a state-of-the-art research problem that suits your interests.

Optional modules

You choose a number of optional modules from both/either groups below to total 30–32.5 ECTS credits.

Group 1 (5 credits each)

You choose at least three modules from Group 1.

  • Advanced Simulation Methods
  • Advanced Statistical Finance
  • Advanced Statistical Theory
  • Bayesian Methods
  • Big Data
  • Biomedical Statistics
  • Graphical Models
  • Introduction to Statistical Finance
  • Machine Learning
  • Multivariate Analysis
  • Non-Parametric Smoothing and Wavelets
  • Statistical Genetics and Bioinformatics
Group 2

You can choose up to two modules from Group 2.

  • Algorithmic Trading and Machine Learning (5 ECTS credits)
  • Computational Stochastic Processes (7.5 ECTS credits)
  • Quantitative Methods in Retail Finance (7.5 ECTS credits)
  • Survival Models and Actuarial Applications (7.5 ECTS credits)
  • Time Series (7.5 ECTS credits)

Applied Statistics

Core modules

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

You will complete an extensive research project full-time between May and September, with the opportunity to work with a member of academic staff on a state-of-the-art applied statistics research project.

Optional modules

You choose a number of optional modules from any of the groups below to total 30–32.5 ECTS credits.

You choose at least three modules in total from Groups 1 or 2, and at least 20 ECTS credits from Groups 2 or 3.

Group 1 (5 credits each)
  • Advanced Simulation Methods
  • Advanced Statistical Finance
  • Advanced Statistical Theory
  • Graphical Models
  • Multivariate Analysis
  • Statistical Genetics and Bioinformatics
Group 2 (5 credits each)
  • Bayesian Methods
  • Big Data
  • Biomedical Statistics
  • Introduction to Statistical Finance
  • Machine Learning
  • Non-Parametric Smoothing and Wavelets
Group 3 (7.5 credits each)
  • Quantitative Methods in Retail Finance
  • Survival Models and Actuarial Applications
  • Time Series
Group 4
  • Algorithmic Trading and Machine Learning (5 credits)
  • Computational Stochastic Processes (7.5 credits)

Biostatistics

Core modules

  • Applied Statistics
  • Biomedical Statistics
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Probability for Statistics
  • Statistical Genetics and Bioinformatics
  • Survival Models and Actuarial Applications
Research Project

You will complete an extensive research project full-time between May and September, with the opportunity to work with a member of academic staff on a state-of-the-art research problem from the field of Biostatistics.

Optional modules

You choose a number of optional modules from any of the groups below to total 12.5–15 ECTS credits.

Group 1 (5 credits each)

You choose at least one module from Group 1.

  • Advanced Simulation Methods
  • Advanced Statistical Finance
  • Advanced Statistical Theory
  • Bayesian Methods
  • Big Data
  • Graphical Models
  • Introduction to Statistical Finance
  • Machine Learning
  • Multivariate Analysis
  • Non-Parametric Smoothing and Wavelets
Group 2

You can choose up to one module from Group 2.

  • Algorithmic Trading and Machine Learning (5 ECTS credits)
  • Computational Stochastic Processes (7.5 ECTS credits)
  • Quantitative Methods in Retail Finance (7.5 ECTS credits)
  • Time Series (7.5 ECTS credits)

Data Science

Core modules

  • Applied Statistics
  • Big Data
  • Computational Statistics
  • Data Science I: Data
  • Data Science II: Science
  • Fundamentals of Statistical Inference
  • Machine Learning
  • Probability for Statistics
Research Project

You will complete an extensive research project full-time between May and September, with the opportunity to work with a member of academic staff on a state-of-the-art research problem from the field of Data Science.

Optional modules

You choose a number of optional modules from any of the groups below to total 10–12.5 ECTS credits.

  • Advanced Simulation Methods
  • Advanced Statistical Finance
  • Advanced Statistical Theory
  • Algorithmic Trading and Machine Learning
  • Bayesian Methods
  • Biomedical Statistics
  • Computational Stochastic Processes*
  • Graphical Models
  • Introduction to Statistical Finance
  • Multivariate Analysis
  • Non-Parametric Smoothing and Wavelets
  • Quantitative Methods in Retail Finance*
  • Statistical Genetics and Bioinformatics
  • Survival Models and Actuarial Applications*
  • Time Series*

You can take up to one module marked with an asterisk (*).

Statistical Finance

Core modules

  • Advanced Statistical Finance
  • Applied Statistics
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Introduction to Statistical Finance
  • Probability for Statistics
Research Project

You will complete an extensive research project full-time between May and September, with the opportunity to work with a member of academic staff on a state-of-the-art research problem from the field of Statistical Finance.

Optional modules

You choose a number of optional modules from any of the groups below to total 20–22.5 ECTS credits.

Group 1

You choose one module from Group 1.

  • Algorithmic Trading and Machine Learning (5 ECTS credits)
  • Quantitative Methods in Retail Finance (7.5 ECTS credits)
  • Time Series (7.5 ECTS credits)
Group 2 (5 credits each)

You must choose at least one module from Group 2.

  • Advanced Simulation Methods
  • Advanced Statistical Theory
  • Bayesian Methods
  • Big Data
  • Biomedical Statistics
  • Graphical Models
  • Machine Learning
  • Multivariate Analysis
  • Non-Parametric Smoothing and Wavelets
  • Statistical Genetics and Bioinformatics
Group 3 (7.5 credits each)
  • Computational Stochastic Processes
  • Survival Models and Actuarial Applications

Theory and Methods

Core modules

  • Advanced Statistical Theory
  • Applied Statistics
  • Bayesian Methods
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Probability for Statistics
Research Project

You will complete an extensive research project full-time between May and September, with the opportunity to work with a member of academic staff on a state-of-the-art statistical theory and methods research problem.

Optional modules

You choose a number of optional modules from any of the groups below to total 20–22.5 ECTS credits.

Group 1 (5 credits each)

You must choose at least one module from Group 1.

  • Advanced Simulation Methods
  • Multivariate Analysis
Group 2 (5 credits each)
  • Advanced Statistical Finance
  • Algorithmic Trading and Machine Learning
  • Big Data
  • Biomedical Statistics
  • Graphical Models
  • Introduction to Statistical Finance
  • Machine Learning
  • Non-Parametric Smoothing and Wavelets
  • Statistical Genetics and Bioinformatics
Group 3 (7.5 credits)

You can choose up to two modules from Group 3.

  • Computational Stochastic Processes
  • Quantitative Methods in Retail Finance
  • Survival Models and Actuarial Applications
  • Time Series

Teaching and assessment

Teaching methods

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

Assessment methods

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

Entry requirements

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

Entry requirements

Minimum academic requirement

Our minimum requirement is a 2.1 degree in statistics, mathematics, engineering or physics.

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

You can submit one application form per year of entry, and usually choose up to two courses.

How to apply

Application deadlines

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

  • Round 1: October – Wednesday 9 January 2019

Decisions will be communicated to successful and unsuccessful applicants in February 2018.

  • Round 2: 10 January – Wednesday 27 March 2019

Decisions will be communicated to successful and unsuccessful applicants in May 2018.

  • Round 3: 28 March – Wednesday 12 June 2019

Decisions will be communicated to successful and unsuccessful applicants in July 2019.

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 course 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.

Interviews

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.

Making an application

To apply for this course, you need to use our online application system.

You can submit one application form per year of entry, and usually choose up to two courses.

ATAS certificate

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

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)

2019 entry
£13,000 per year

Fees are charged by year of entry to the College and not year of study.

Except where otherwise indicated, the fees for students on courses lasting more than one year will increase annually by an amount linked to inflation, including for part-time students on modular programmes. The measure of inflation used will be the Retail Price Index (RPI) value in the April of the calendar year in which the academic session starts e.g. the RPI value in April 2019 will apply to fees for the academic year 2019–2020.

Tuition fees (Overseas and Islands students)

2019 entry
£27,000 per year

Fees are charged by year of entry to the College and not year of study.

Except where otherwise indicated, the fees for students on courses lasting more than one year will increase annually by an amount linked to inflation, including for part-time students on modular programmes. The measure of inflation used will be the Retail Price Index (RPI) value in the April of the calendar year in which the academic session starts e.g. the RPI value in April 2019 will apply to fees for the academic year 2019–2020.

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 £10,280 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.

Scholarships

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.

Further information

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