Mathematics

Discover a diverse range of statistical tools, applications and methods.

Key information

Duration: 1 year full-time
Start dateOctober 2021
Location: South Kensington
ECTS: 90–92.5 credits

Applications are now closed

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 specialist interests, providing depth and exposure to a diverse range of statistical applications and methods.

Streams

We offer six streams on our MSc in Statistics programme. On the application, applicants must first select the programme MSc in Statistics. Then they will be prompted to select their preferred stream.

  • MSc Statistics (General)
  • 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.

Our accreditation agreements run between 2017 and 2020.

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 programme 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

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

Optional modules

You choose five or six optional modules from below to total 30–32.5 ECTS.

You can choose a maximum of two modules each worth 7.5 ECTS. Each module is worth 5 ECTS unless otherwise stated.

Group 1
  • Contemporary Statistical Theory
  • Bayesian Methods
  • Multivariate Analysis
  • Machine Learning
  • Introduction to Statistical Finance
  • Advanced Statistical Finance
  • Biomedical Statistics
  • Statistical Genetics and Bioinformatics
  • Big Data
  • Advanced Simulation Methods
  • Data Science
  • Deep Learning with TensorFlow
  • Nonparametric Statistics
  • Stochastic Processes 
  • Survival Models (7.5 ECTS)
  • Time Series Analysis (7.5 ECTS)

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.

Applied Statistics

Core modules

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

Optional modules

You choose at least four modules from Group 1 and the remainder from Group 2 to total 30–32.5 ECTS.

You can choose a maximum of two modules each worth 7.5 ECTS. Each module is worth 5 ECTS unless otherwise stated.

Group 1
  • Advanced Simulation Methods
  • Bayesian Methods
  • Biomedical Statistics
  • Data Science
  • Introduction to Statistical Finance
  • Machine Learning
  • Nonparametric Statistics
Group 2
  • Advanced Statistical Finance
  • Big Data
  • Contemporary Statistical Theory
  • Deep Learning with TensorFlow
  • Multivariate Analysis
  • Statistical Genetics and Bioinformatics
  • Stochastic Processes
  • Survival Models (7.5 ECTS)
  • Time Series Analysis (7.5 ECTS)

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.

Biostatistics

Core modules

  • Probability for Statistics
  • Fundamentals of Statistical Inference
  • Applied Statistics
  • Computational Statistics
  • Statistics Research Project
Core Biostatistics modules
  • Biomedical Statistics
  • Statistical Genetics and Bioinformatics

Optional modules

You choose three or four optional modules from below for a total of 20-22.5 ECTS.

You can choose a maximum of two modules each worth 7.5 ECTS. Each module is worth 5 ECTS unless otherwise stated.

Group 1
  • Contemporary Statistical Theory
  • Bayesian Methods
  • Multivariate Analysis
  • Machine Learning
  • Introduction to Statistical Finance
  • Advanced Statistical Finance
  • Big Data
  • Advanced Simulation Methods
  • Data Science
  • Deep Learning with TensorFlow
  • Nonparametric Statistics
  • Stochastic Processes
  • Time Series Analysis (7.5 ECTS)
  • Survival Models (7.5 ECTS)

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.

Data Science

Core modules

  • Probability for Statistics
  • Fundamentals of Statistical Inference
  • Applied Statistics
  • Computational Statistics
  • Statistics Research Project
Core Data Science modules
  • Machine Learning
  • Data Science
  • Deep Learning with TensorFlow
  • Big Data

Optional modules

You choose two optional modules from below for a total of 10-12.5 ECTS.

You can choose a maximum of one module worth 7.5 ECTS. Each module is worth 5 ECTS unless otherwise stated.

  • Contemporary Statistical Theory
  • Bayesian Methods
  • Multivariate Analysis
  • Introduction to Statistical Finance
  • Advanced Statistical Finance
  • Biomedical Statistics
  • Statistical Genetics and Bioinformatics
  • Advanced Simulation Methods
  • Nonparametric Statistics
  • Stochastic Processes
  • Time Series Analysis (7.5 ECTS)
  • Survival Models (7.5 ECTS)

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.

Statistical Finance

Core modules

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

Optional modules

You choose any other modules from below for a total of 15-17.5 ECTS.

You can choose a maximum of two modules each worth 7.5 ECTS. Each module is worth 5 ECTS unless otherwise stated.

Group 1
  • Contemporary Statistical Theory
  • Bayesian Methods
  • Multivariate Analysis
  • Machine Learning
  • Biomedical Statistics
  • Statistical Genetics and Bioinformatics
  • Big Data
  • Advanced Simulation Methods
  • Data Science
  • Deep Learning with TensorFlow
  • Nonparametric Statistics
  • Time Series Analysis (7.5 ECTS)
  • Survival Models (7.5 ECTS)

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.

Theory and Methods

Core modules

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

Optional modules

You choose at least two modules from Group 1 and the remainder from Group 2 to total 30–32.5 ECTS.

You can choose a maximum of two modules each worth 7.5 ECTS. Each module is worth 5 ECTS unless otherwise stated.

Group 1 
  • Contemporary Statistical Theory
  • Bayesian Methods
  • Multivariate Analysis
  • Advanced Simulation Methods
Group 2
  • Machine Learning
  • Introduction to Statistical Finance
  • Advanced Statistical Finance
  • Biomedical Statistics
  • Statistical Genetics and Bioinformatics 
  • Big Data
  • Data Science
  • Deep Learning with TensorFlow
  • Nonparametric Statistics
  • Stochastic Processes
  • Time Series Analysis (7.5 ECTS)
  • Survival Models (7.5 ECTS)

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.

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, physics or computer science.

International qualifications

We also accept a wide variety of international qualifications.

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

For guidance see our Country Index though please note that the standards listed are the minimum for entry to the College, and not specifically this Department.

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 higher 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.

Competence standards

Our competence standards highlight the core skills students should be able to demonstrate by the end of this course.

View the Department of Mathematics's competence standards [pdf]

We believe in providing the widest practicable access to all of our degree programmes and will make reasonable adjustments wherever possible to support your study. For more information, please contact the Department using the contact details below.

Department of Mathematics

E: mathsmsc@imperial.ac.uk

How to apply

How to apply

Application deadlines

Due to high competition, we encourage early applications for the MSc in Statistics.

Any applications received before 31 March 2021 will be considered. 

We aim to provide an outcome between 12 to 16 weeks after receiving each application. While we will do our best to provide an outcome in the time-frame stated above, delay in receiving at least one of your references may result in the decision 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 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

Apply online

All applicants must apply online.

Visit our Admissions website for details on the application process.

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

Application fee

For 2021–22 entry, we are introducing a pilot application fee for our Master's courses. This helps cover some of the administrative and staffing costs associated with processing the large volume of applications we receive.

This fee will be £80 per application and not per course. 

We will waive the fee for any applicant – Home or Overseas – who demonstrates that they are experiencing financial hardship.

There is no application fee for Postgraduate Certificates, Postgraduate Diplomas or PhDs. The fee for MBA applications to the Imperial College Business School is £135. 

Find out more about the application fee and waiver

ATAS certificate

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

Further questions?

Find answers to your questions about admissions. Answers cover COVID-19, English language requirements, Visas and more.

Visit the FAQs

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.

Find out more about fees and funding opportunities.

Tuition fees

Home rate of tuition

2021 entry

£16,000 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 2021 will apply to fees for the academic year 2021–2022.

Fee status

Whether you pay the Home fee depends on your fee status.

Your fee status is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status.

Find out more about how we assess your fee status.

EU/EEA/Swiss students

The Government has confirmed that EU/EEA/Swiss students who begin a course before the 31 July 2021 will be eligible to pay the same fee as Home students and have access to student finance for the duration of their course, as long as they meet certain requirements which are unchanged from previous years. This includes students who begin the course remotely.

EU/EEA/Swiss students starting a course on or after 1 August 2021 will no longer be eligible for the Home fee rate and so will be charged the Overseas fee. Please note, we do not expect this to apply to Irish students or students benefitting from Citizens' Rights under the EU Withdrawal Agreement, EEA EFTA Separation Agreement or Swiss Citizens' Rights Agreement respectively. However, we are currently awaiting the formal publication of the amended Fees and Awards regulations.

The UK Council for International Student Affairs (UKCISA) website has useful information on the conditions you currently need to meet to be entitled to pay tuition fees at the Home rate for study on a higher education course in England and reflect the regulations as they currently stand (not the amended regulations which are subject to publication).

UKCISA has also provided some information in response to Questions for students starting their course from the 1 August 2021. 

For regular updates for EU students, please see our Imperial and the EU webpages.

Overseas rate of tuition

2021 entry

£29,000 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 2021 will apply to fees for the academic year 2021–2022.

Fee status

Whether you pay the Overseas fee depends on your fee status.

Your fee status is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status.

Find out more about how we assess your fee status.

EU/EEA/Swiss students

The Government has confirmed that EU/EEA/Swiss students who begin a course before the 31 July 2021 will be eligible to pay the same fee as Home students and have access to student finance for the duration of their course, as long as they meet certain requirements which are unchanged from previous years. This includes students who begin the course remotely.

EU/EEA/Swiss students starting a course on or after 1 August 2021 will no longer be eligible for the Home fee rate and so will be charged the Overseas fee. Please note, we do not expect this to apply to Irish students or students benefitting from Citizens' Rights under the EU Withdrawal Agreement, EEA EFTA Separation Agreement or Swiss Citizens' Rights Agreement respectively. However, we are currently awaiting the formal publication of the amended Fees and Awards regulations.

The UK Council for International Student Affairs (UKCISA) website has useful information on the conditions you currently need to meet to be entitled to pay tuition fees at the Home rate for study on a higher education course in England and reflect the regulations as they currently stand (not the amended regulations which are subject to publication).

UKCISA has also provided some information in response to Questions for students starting their course from the 1 August 2021. 

For regular updates for EU students, please see our Imperial and the EU webpages.

Postgraduate Master's loan

If you're a UK national, or EU national with settled or pre-settled status under the EU Settlement Scheme, you may be able to apply for a Postgraduate Master’s Loan from the UK government, if you meet certain criteria.

For 2021-22 entry, the maximum amount is £11,570. 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.

See what opportunities you may be eligible for.

If you are an Iranian national and are accepted to study at Imperial starting this October, you may be eligible to apply for the Irani family scholarship.

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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