Statistics (Data Science)
  • Postgraduate taught
  • MSc

Statistics (Data Science)

Build familiarity with a wide range of data science techniques and their application in a variety of settings.

Build familiarity with a wide range of data science techniques and their application in a variety of settings

Get industry recognition with an accredited degree

Apply your statistical knowledge to a state-of-the-art research problem related to data science

Course key facts

  • Qualification

    • MSc

  • Duration

    1 year

  • Start date

    October 2023

  • Study mode


  • Fees

    • £19,000 Home

    • £32,400 Overseas

  • Delivered by

  • Location

    • South Kensington

Minimum entry standard 2023

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

View full entry requirements

Course overview

Develop your appreciation of data science techniques and their application in statistics on this Master's course.

You'll explore a wide range of statistical methods used in data science and explore current developments in the field.

This course considers how these methods are used in a variety of areas. These include scientific, governmental, industrial and commercial settings.

You'll also carry out an independent investigation in an area of data science using research techniques acquired from the course.

Data Science is one of six Statistics streams available at Imperial.

You may wish to consider our General stream, or specialist streams in Applied Statistics, Biostatistics, Statistical Finance and Theory and Methods.


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

You’ll choose two optional modules 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.


Optional modules

You'll also complete an extensive research project full-time between May and September, exploring an area of data science. 

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


  • Lectures, tutorials and practicals
  • Research project

  • 67% Lectures, tutorials and practicals
  • 33% Research project

Teaching and learning methods

  • Person completing coursework
  • Four students sitting in a tutorial
    Group tutorials
  • Person at lectern giving speech
  • 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


  • 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.

How to apply

Apply online

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

Tuition fees

Home fee

2023 entry


Overseas fee

2023 entry


Your future career

Chemistry research on computer screen

Develop highly transferable skills that will prepare you for further study of statistics or a career within data science.

Person in a bubble surrounded by 4 skills

These include skills in programming, problem-solving, critical thinking, scientific writing, project work and presentation.

Man standing under a sign pointing different directions

Mathematics graduates at Imperial are highly sought after in a wide array of employment and research sectors.

Laptop displays finance statistics

These include banking and finance, accountancy, education, and IT and technology.

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