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Read testimonials from MSc Statistics alumni and learn what they thought of the programme.

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Statistics is a dynamic and thriving scientific discipline that has relevance in almost every area of the modern world. 

The MSc in Statistics programme provides outstanding training in both theoretical and applied statistics. During the Spring and Summer terms, students develop their own specialist interests through the breadth optional modules and research projects available.

The MSc will give you the steppingstone you need to gain highly sought-after roles, such as a statistician, data scientist or an actuary, amongst other professions. 


Applications are now closed.

More information

From October 2021, the MSc in Statistics will also be offered as an online degree, named Global MSc in Statistics.

Further information

Programme Overview

The MSc in Statistics is a one-year, full-time degree offered by the Statistics Section of the Department of Mathematics. During the Autumn term a common set of core modules is offered that ensures that all students obtain advanced knowledge in the fundamental areas of probability theory, statistical inference and applied and computational statistics. 

 The MSc distinguishes itself through the breadth and the depth of the optional modules available. The variety of optional modules offered in the Spring term allows students to develop their own specialist interests, providing depth and exposure to a diverse range of statistical applications and methods. 

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



The MSc in Statistics is currently being accredited by the Royal Statistical Society, implying that graduates are granted the Society's professional status of Graduate Statistician on application.


Statistics Section

The Statistics Section has an international reputation for conducting methodological and applied statistical research at the highest level. Areas of research of the Section include statistical genetics and biostatistics, statistical methods in retail financial services, time series and signal processing, statistical theory, Bayesian methods and computation, and machine learning, with many interactions and overlaps between these areas of research. The expertise of the members of the Section, as well as its strong links to the financial and industrial sectors, allow for a very wide choice of research projects. 


Frequently asked questions

Why this course?

The MSc distinguishes itself from other programmes at leading UK Universities through the breadth and the depth of the optional modules available. Almost all modules are specifically designed for the MSc in Statistics.

The number of students on the course is kept small, to ensure an excellent learning environment, and the entire Statistics Section is involved in running the MSc, which allows a very wide choice of summer research projects. The Statistics Section also has strong links to the financial and industrial sectors, which will be a particular benefit in relation to the major project, which can be conducted in conjunction with an external partner.

Why Statistics?

The discipline of statistics offers the opportunities for highly remunerated, intellectual, challenging, and socially beneficial employment in an exceptionally wide range of areas.

Statistical methods are becoming more and more prevalent in business, industry, technology, government, and academia. As such there is a wide choice of career opportunities for well qualified statisticians; UK employers face difficulties in finding such individuals. Illustrations of career opportunities are medical research and drug development (the pharmaceutical sector is mandated by law to carry out statistical experiments and employs thousands of statisticians), banking (statistical models play a central role in both personal and investment banking), government (the Government Statistical Service employs some 1200 professional statisticians), and cutting edge web employers (squeezing information from masses of internet data requires sophisticated statistical methodology). The demand for statistical expertise is growing as automatic electronic data acquisition means that more and more massive databases are being compiled and that industry, business, and government are ever more reliant on automated statistical routines for trolling enormous data archives.

The discipline of statistics itself continues to grow, as new methods and tools are developed, and in many areas a Master’s degree is the qualification of choice, providing a broad and deep foundation in the subject.

Is there a part-time option?

No, there is currently no part-time option. We do offer the MSc as an 100% online course. For further information look at the Global Statistics (Online) prospectus page.

How big is the MSc?

The cohort size is typically around 50 students.

When can I apply?

When applications open/close this webpage will be updated - please see the top of this page for the current status.

I do not have a Mathematics or a Statistics degree. Can I apply for this course?

We encourage applications from outstanding students from other disciplines who are able to demonstrate

  • strong mathematical ability and
  • a well motivated and genuine interest in advanced study in Statistics.

Prior studies involving only elementary courses in mathematics and statistics and the mere use of standard statistical software packages (e.g. SPSS, SAS) are normally not considered to be adequate preparation for this course.

What statistical software is being used?

Most modules that have practical parts will use R as main language.

Do I need programming experience?

A number of modules on the MSc programme will involve computational work in the statistical programming language, R. It is strongly desirable that you have some prior experience of any modern programming language, e.g. R, Java, C/C++, Python, MATLAB, etc.

I completed my studies many years ago and I have been working in industry. Can I apply?

Experienced applicants with relevant industrial experience are highly encouraged to apply. All candidates are subject to the same selection criteria.

I did not receive an offer. Why?

The number of high quality applications we receive greatly exceeds the number of places available on the course. Unfortunately, this means that we have to disappoint a large number of applicants.

Will I receive feedback if my application is unsuccessful?

We will provide limited feedback on request. Please e-mail for this. However, note that many rejections are due to the heavily oversubscribed nature of our MSc course.

Can I apply for a specialisation stream and the general MSc in Statistics?

If you are interested in applying for one of the specialisation streams, please list this stream in your application. If your chosen specialisation stream is full, you will automatically be considered for the MSc in Statistics.

Can I apply for two specialised streams?

This is not allowed. We recommend that you apply for either your first choice of specialisation stream or for the general MSc in Statistics. Please see details below for switching between streams once the programme has started.

Can I switch streams?

Once you start the programme, you can decide to switch to the general stream or any other stream in term 1, before the specialisation occurs. One major difference between the streams is the research project topic. It may be possible for you to switch streams after the Autumn term, subject to staff being available to supervise a suitable project topic in the particular steam.

Do you have a set allocation of places per stream?

Yes, the number of places on the specialised streams are limited.

Is there a deadline to reply to my offer?

You must reply to your offer within 28 days of the offer being made, otherwise it will automatically be withdrawn by the Admissions system. Once you accept your offer you will be invoiced to pay a deposit and will have 28 days to complete payment. If the deposit payment has not been made in the allocated time frame, your offer will be withdrawn.



  • Undergraduates at Imperial College London who are applying for the MSc in Statistics are also eligible to apply for a scholarship from the Basil Furneaux Memorial Fund. For further details and eligibility visit Basil Furneaux Memorial Fund.

  • MSc Women’s Scholarship funded in part by Marjorie McDermott: The Department of Mathematics offers the Marjorie McDermott’s scholarship to promote our women scholars as well as Imperial College’s commitments to Equality, Diversity, and Inclusivity. Marjorie McDermott was an alumna of Imperial’s Department of Mathematics. She graduated with a BSc in Mathematics in 1951 and then completed a DIC (MSc) in 1952.  Each autumn, women in Imperial’s MSc programmes will be invited to apply for a Marjorie McDermott Scholarship. 

    There are up to two women awarded a scholarship through this route each year. Applicants are expected to have been awarded a First Class or equivalent undergraduate degree in Mathematics, Statistics, or a closely related field. Recipients of the scholarship are awarded a total of £7,500 in two instalments during their master's study. Individual students are not allowed to hold more than one of these scholarships. For further information please contact the programme's admin team.

  • Additionally, Imperial College London offers a range of scholarships for postgraduate students to support you through your studies. Search for scholarships using the College scholarships search tool to see what you might be eligible for. 

Specialisation streams

Alongside the general MSc in Statistics, five additional specialisation streams are also offered. The general MSc in Statistics stream enables you to choose modules across a variety of topics, whereas the specialist streams focus on a specific theme. More information about the specialisation streams with their core and elective modules can be found below. The formal qualification received will include the name of the specialist stream, for example: MSc Statistics (Applied Statistics).