• Postgraduate taught
  • MSc

Statistics (Applied Statistics)

Advance your understanding of theoretical and applied statistics and explore the use of stats in a variety of settings.

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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

  • Qualification

    • MSc

  • Duration

    1 year

  • Start date

    September 2025

  • Study mode

    Full-time

  • Fees

    • £21,300 Home

    • £35,700 Overseas

  • Delivered by

  • Location

    • South Kensington

Minimum entry standard

  • 2:1 in statistics, mathematics, engineering, physics or computer science

View full entry requirements

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 Statistics streams available at Imperial. You may wish to consider choosing one of the following streams:

Testimonials

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.

Please note: it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.

You'll take all of these core modules.

Core modules

two students in a lecture room sitting at a desk looking at a laptop and discussing
Teaching and learning is designed to be hands-on, dynamic, and unconventional. Achieve excellence by working with your peers, building a career network and engaging directly with our expert Faculty.
A woman and a man talking and smiling in front of panels with some graphs
Experience supportive and insightful mentoring and supervision through our world class faculty, without dress codes or other formal barriers.
a male student in a lecture room looking straight in front of him
Students can choose from more than 15 elective modules in term 2 and use this as a springboard to shape their own career in making the future of Statistics.
three students looking at a laptop and smiling
Become fluent in the most common data science computing languages such as python, R, pyspark, Stan, or tensorflow, and deploy these skills to make statistics individually or in teams.
a female statistics student explaining a graph to a male student
Master Statistics through a focus on in-person problem-solving activities and classes, such as our summer research project poster presentations.
two students in a lecture room sitting at a desk looking at a laptop and discussing
Benefit from dedicated one-to-one support from our world-class faculty and our innovative Statistics Clinics or from our Centre for Doctoral Training in Modern Statistics and Machine Learning.
a male student showing a graph to another male student
Students can choose from more than 15 elective modules in term 2 and use this as a springboard to shape their own career in making the future of Statistics.
a male lecturer presenting in front of a screen
Our Careers in Statistics Events will bring to you industry experts from a range of application areas including AI, finance, pharma and sports.
two students in a lecture room sitting at a desk looking at a laptop and discussing
Teaching and learning is designed to be hands-on, dynamic, and unconventional. Achieve excellence by working with your peers, building a career network and engaging directly with our expert Faculty.
A woman and a man talking and smiling in front of panels with some graphs
Experience supportive and insightful mentoring and supervision through our world class faculty, without dress codes or other formal barriers.
a male student in a lecture room looking straight in front of him
Students can choose from more than 15 elective modules in term 2 and use this as a springboard to shape their own career in making the future of Statistics.
three students looking at a laptop and smiling
Become fluent in the most common data science computing languages such as python, R, pyspark, Stan, or tensorflow, and deploy these skills to make statistics individually or in teams.
a female statistics student explaining a graph to a male student
Master Statistics through a focus on in-person problem-solving activities and classes, such as our summer research project poster presentations.
two students in a lecture room sitting at a desk looking at a laptop and discussing
Benefit from dedicated one-to-one support from our world-class faculty and our innovative Statistics Clinics or from our Centre for Doctoral Training in Modern Statistics and Machine Learning.

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

  • Person completing coursework
    Dissertation
  • Four students sitting in a tutorial
    Group tutorials
  • Person at lectern giving speech
    Lectures
  • Modern statistical computing skills
  • Person giving feedback
    Office hours
  • Oral presentation and assessment
  • Practical computational sessions
  • Problem classes
  • Person giving seminar
    Research seminars
  • Blackboard virtual learning environment
    Virtual learning environment

Balance of assessment

Key

  • Modules
  • Research project

  • 67% Modules
  • 33% Research project

Assessment methods

  • Person completing coursework
    Assessed coursework/tests
  • Papers from a written report
    Enhanced coursework assessments
  • Oral presentation
  • A person completing a written exam
    Written examinations
  • Written project

Entry requirements

We consider all applicants on an individual basis, welcoming students from all over the world.

2:1 in statistics, mathematics, engineering, physics or computer science.

Footnotes

Please note that we receive many more applications than we can accommodate. Nearly all successful applicants hold a First Class degree in any of the eligible undergraduate degrees, and all successful applicants holding an undergraduate degree outside the mathematical sciences have substantive knowledge and experience in theoretical mathematical topics.

How to apply

Apply online

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

Apply now

Application deadlines – Round 2 closes on Thursday 27 March 2025

Fees and funding

Home fee

2025 entry

£21,300

Scholarships

Martingale Scholarships

Value per award

  • Varies

Who it's for

  • All applicants to Mathematics postgraduate courses.
Find out more

How will studying at Imperial help my 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: maths.pgtadmissions@imperial.ac.uk 

Course Director: Dr Oliver Ratmann

Visit the Department of Mathematics website.

Statistics Mathematics students

Request info

Find out more about studying at Imperial. Receive updates about life in our community, including event invites and download our latest Study guide.

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Events, tasters and talks

Meet us and find out more about studying at Imperial.

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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.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

Programme specifications