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Statistics (Applied Statistics)
Advance your understanding of theoretical and applied statistics and explore the use of stats in a variety of settings.
Advance your understanding of theoretical and applied statistics and explore the use of stats in a variety of settings
Get industry recognition with an accredited degree
Analyse a state-of-the-art research problem on an extended individual project
Course key facts
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Qualification
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MSc
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Duration
1 year
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Start date
October 2023
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Study mode
Full-time
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Fees
£19,000 Home
£32,400 Overseas
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Delivered by
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Location
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South Kensington
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Minimum entry standard 2023
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2:1 in statistics, mathematics, engineering, physics or computer science
Course overview
Receive training in theoretical and applied statistics on this Master's course, which explores how statistical reasoning, tools, and methods are used in various employment sectors.
The programme explores the application of statistics in a variety of scientific, governmental, industrial, and commercial settings and considers current developments in the field.
You'll advance your understanding of probability theory, statistical inference and applied and computational statistics before specialising on a series of optional modules.
You'll also carry out an independent investigation within the area of applied statistics using research techniques acquired from the course.
Applied Statistics is one of six Global Statistics streams available at Imperial.
You may wish to consider our General stream, or specialist streams in Biostatistics, Data Science, Statistical Finance and Theory and Methods.
Structure
This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.
Find out more about potential course changes.
You'll take all of these core modules.
Core modules
Assess the key concepts of probability theory and learn how random variables and vectors and their distribution functions are defined.
Appreciate different Bayesian and frequentist approaches to statistical inference and select and justify appropriate methods for hypothesis testing.
Examine statistical modelling and regression and apply it to realistic problems and real data.
Engage with a number of computational methods that are key in modern statistics and learn to implement and apply these methods confidently.
You choose at least four modules from Group A and the remainder from Group B 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 A
Gain a basic understanding of simulation, along with its uses and limitations, and the models for which basic or sophisticated simulation methods can be applied.
Understand the relative advantages of the frequentist and Bayesian approaches to statistical analysis and apply appropriate Bayesian data analyses.
Learn how to analyse biomedical data and design and analyse clinical trials.
Become familiar with the most common data scientific methods and their uses and misuses.
Explore fundamental concepts of quantitative finance and statistical methods that are widely used to analyse financial data.
Build your understanding of statistical pattern recognition and machine learning and analyse state-of-art approaches.
Evaluate the strengths and weaknesses of nonparametric methods as flexible data-adaptive alternatives to parametric modelling.
Group B
Further your understanding of statistical finance by engaging with modern statistical methods for analysis of financial data.
Design and develop data analysis procedures using Big Data technology and use it to perform a rigorous statistical analysis.
Discuss key developments in contemporary statistical theory and examine analytic methods used in the development of statistical theory and methodology.
Explore the building blocks of deep learning models, and how to design network architectures for specific applications.
Build familiarity with multivariate analysis by exploring concepts including standard multivariate notations, the covariance matrix, and multivariate normal distribution.
Appreciate the importance of handling high dimensional datasets, through the analysis of genetics (genomics) and bioinformatics data.
Study stochastic processes and the basic tools from stochastic analysis that provide the mathematical foundations for option pricing theory.
Discover why survival models are fundamental to actuarial work and explore key actuarial applications.
Examine discrete time stochastic processes and associated computational algorithms and approaches.
You'll also complete an extensive research project full-time between May and September, within the area of applied statistics.
This will include an opportunity to work with a member of academic staff on a state-of-the-art research problem that suits your interests.
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 agreement with the Royal Statistics Society is until the 2022-23 academic year. The Department expects to be accredited into the future.
Teaching and assessment
Balance of teaching and learning
Key
- Lectures, tutorials and practicals
- Research project
- 67% Lectures, tutorials and practicals
- 33% Research project
Teaching and learning methods
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Dissertation
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Group tutorials
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Lectures
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Modern statistical computing skills
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Office hours
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Oral presentation and assessment
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Practical computational sessions
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Problem classes
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Research seminars
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Virtual learning environment
Balance of assessment
Key
- Modules
- Research project
- 67% Modules
- 33% Research project
Assessment methods
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Assessed coursework/tests
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Enhanced coursework assessments
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Oral presentation
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Written examinations
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Written project
Entry requirements
We consider all applicants on an individual basis, welcoming students from all over the world.
How to apply
Apply online
You can submit one application form per year of entry. You can choose up to two courses.
If you are applying for a taught Master’s course, you will need to pay an application fee before submitting your application.
The fee applies per application and not per course:
- £80 for all taught Master's applications excluding those to the Imperial College Business School
- £100 for all MSc applications to the Imperial College Business School
- £150 for MBA applications to the Imperial College Business School
There is no application fee for MRes courses, Postgraduate Certificates, Postgraduate Diplomas or research courses, such as PhDs and EngDs.
If you are facing financial hardship and are unable to pay the application fee, we encourage you to apply for our application fee waiver.
Find out more about how to apply for a Master's course, including references and personal statements.
We do not interview for applicants for entry to this programme.
When you apply, you will be able to choose your stream of choice.
If you are applying for the general stream of this course, we are only able to consider your application if you choose this as your first course choice.
If you are applying for one of the specialisation streams, please select the stream as your first course choice and we will automatically consider you for the general stream if your chosen specialisation is full.
An ATAS certificate is not required for students applying for this course.
Tuition fees
Home fee
2023 entry
£19,000
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the College, not your year of study. This means that if you repeat a year or resume your studies after an interruption, your fees will only increase by the amount linked to inflation.
Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.
Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status.
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 2022-23 entry, the maximum amount is £11,836. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Overseas fee
2023 entry
£32,400
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the College, not your year of study. This means that if you repeat a year or resume your studies after an interruption, your fees will only increase by the amount linked to inflation.
Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.
Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status.
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 2022-23 entry, the maximum amount is £11,836. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Your future career
Develop highly transferable skills that will prepare you for further study or a career using applied statistics.
These include skills in programming, problem-solving, critical thinking, scientific writing, project work and presentation.
Mathematics graduates at Imperial are highly sought after in a wide array of employment and research sectors.
These include banking and finance, accountancy, education, and IT and technology.
Further links
Contact the department
- Email: statsmsc@imperial.ac.uk
Course Director: Dr Oliver Ratmann
Visit the Department of Mathematics website.

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Terms and conditions
There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.
You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.
Programme specifications