Mathematics

Key information

Duration: 1 year full-time
Start date: October 2018
Campus: South Kensington
ECTS: 90–92.5 credits

Applications for 2018

Open to applications for 2018 entry
Apply now

Overview

This course provides outstanding training in both 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.

The course will equip students with a range of transferable skills, including programming, problem-solving, critical thinking, scientific writing, project work and presentation. This will enable them to take on prominent roles in a wide array of employment and research sectors.

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 flexibility for students to develop their own specialist interests.

During the Summer term each student will complete a research project with a member of academic staff on a state-of-the-art research problem that suits their interests.

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

Choosing your stream

From October 2018, in addition to the general MSc in Statistics course we will be offering four specialist streams:

  • Applied Statistics
  • Biostatistics
  • Statistical Finance
  • Theory and Methods

You apply to your chosen stream in the first instance. 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.

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.

Structure

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

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)

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

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

Assessment

  • 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)

2018 entry
£11,500

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)

2018 entry
£26,000

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.

Admissions

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.

Admissions

Minimum academic requirement

Our minimum requirement is at least a 2.1 UK Honour's degree in mathematics, statistics, physics, computer science, engineering or related disciplines with advanced mathematical content.

Application deadlines

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

  • Round 1: October  10 January 2018

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

  • Round 2: 11 January  28 March 2018

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

  • Round 3: 29 March  13 June 2018

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

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.

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.

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