Student learning statistics on laptop

Experience outstanding online training in theoretical and applied statistics

Key information

Duration: 1 year full-time
Start dateOctober 2021
Location: Online
ECTS: 90 credits

Please note:

Information on this page is subject to College approval.

This page will be updated as soon as the course receives College approval.

Apply now

Overview

Statistical ideas, tools and methods are used in almost all employment sectors. From banking, finance and government to medical research, the pharmaceutical industry and the digital economy.

This online, one-year, full-time programme provides outstanding training in both theoretical and applied statistics. The variety of optional modules to choose from, allows you to develop your specialist interests, providing depth and exposure to a diverse range of statistical applications and methods.

Building on an advanced core curriculum, you will have the opportunity to specialise, gaining both an in-depth and specialised skill set.

This online course enables you to study our reputable statistics course without the need to come to London. This enables a broader base of the best students to access and participate in an Imperial education. If you can study in London, you may be interested in our on-campus MSc in Statistics

Streams

We offer six streams on this course. When applications open, you must first select this programme. Then you will be able to indicate your preferred stream.

  • Global MSc in Statistics (General)
  • Global MSc in Statistics (Applied Statistics)
  • Global MSc in Statistics (Biostatistics)
  • Global MSc in Statistics (Data Science)
  • Global MSc in Statistics (Statistical Finance)
  • Global MSc in Statistics (Theory and Methods)

The formal qualification received will include the name of the specialist stream. This can be used to indicate to employers or future research supervisors what you have specialised in during your MSc.

As a limited number of places exist for each stream, unsuccessful applications for these streams will automatically be considered for the general Global MSc in Statistics.

Study programme

Core modules in the Autumn term provide you with advanced knowledge in the fundamental areas of probability theory, statistical inference and applied and computational statistics.

A large and diverse set of optional modules, offered in the Spring term, coupled with specialised programme streams, allow you to develop your own interests. This gives you both depth and exposure to a diverse range of statistical applications and methods.

During the Summer term, you'll have the opportunity to work with a member of academic staff on a state-of-the-art research problem that suits your interests and is suitable for your chosen stream.

Careers

By the end of the course, you will have gained a range of transferable skills, including programming, problem-solving, critical thinking, scientific writing, project work and presentation. This allows you to take on prominent roles in a wide array of employment and research sectors.

Structure

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

There are limited circumstances in which we may need to make changes to or in relation to our courses. See what changes we may make and how we will tell you about them.

Find out more about potential changes

Structure

General stream

Core modules

  • Applied Statistics
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Probability for Statistics
  • Statistics Research Project

Optional modules

You choose six optional modules in total.

Your choices can be from any of the modules listed belowallowing you to study other areas of interest.

  • Machine Learning
  • Big Data
  • Data Science 
  • Deep Learning with Tensor Flow
  • Contemporary Statistical Theory
  • Bayesian Methods
  • Multivariate Analysis
  • Advanced Simulation Methods
  • Biomedical Statistics
  • Statistical Genetics and Bioinformatics
  • Introduction to Statistical Finance
  • Advanced Statistical Finance
  • Graphical Models

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.

Applied Statistics

Core modules

  • Applied Statistics
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Probability for Statistics
  • Statistics Research Project

Optional modules

You choose six optional modules in total.

At least four of these will be Applied Statistics modules in Group A.

Your remaining choices can be from any of the modules in Group B, allowing you to study other areas of interest.

Group A – Applied Statistics
  • Machine Learning
  • Data Science
  • Bayesian Methods
  • Advanced Simulation Methods
  • Biomedical Statistics
  • Introduction to Statistical Finance
Group B
  • Big Data
  • Deep Learning with Tensor Flow
  • Contemporary Statistical Theory
  • Multivariate Analysis
  • Statistical Genetics and Bioinformatics
  • Advanced Statistical Finance
  • Graphical Models

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.

Biostatistics

Core modules

  • Applied Statistics
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Probability for Statistics
  • Statistics Research Project
Core Biostatistics modules
  • Biomedical Statistics
  • Statistical Genetics and Bioinformatics

Optional modules

You choose four optional modules in total.

Your choices can be from any of the modules listed belowallowing you to study other areas of interest.

  • Big Data
  • Deep Learning with Tensor Flow
  • Contemporary Statistical Theory
  • Multivariate Analysis
  • Advanced Statistical Finance
  • Machine Learning
  • Data Science
  • Bayesian Methods
  • Advanced Simulation Methods
  • Introduction to Statistical Finance
  • Graphical Models

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.

Data Science

Core modules

  • Applied Statistics
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Probability for Statistics
  • Statistics Research Project
Core Data Science modules
  • Machine Learning
  • Big Data
  • Data Science 
  • Deep Learning with Tensor Flow

Optional modules

You choose two optional modules in total.

Your choices can be from any of the modules listed belowallowing you to study other areas of interest.

  • Contemporary Statistical Theory
  • Multivariate Analysis
  • Statistical Genetics and Bioinformatics
  • Advanced Statistical Finance
  • Bayesian Methods
  • Advanced Simulation Methods
  • Biomedical Statistics
  • Introduction to Statistical Finance
  • Graphical Models

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.

Statistical Finance

Core modules

  • Applied Statistics
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Probability for Statistics
  • Statistics Research Project
Core Statistical Finance modules
  • Introduction to Statistical Finance
  • Advanced Statistical Finance

Optional modules

You choose four optional modules in total.

Your choices can be from any of the modules listed belowallowing you to study other areas of interest.

  • Big Data
  • Deep Learning with Tensor Flow
  • Contemporary Statistical Theory
  • Multivariate Analysis
  • Statistical Genetics and Bioinformatics
  • Machine Learning
  • Data Science
  • Bayesian Methods
  • Advanced Simulation Methods
  • Biomedical Statistics
  • Graphical Models

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.

Theory and Methods

Core modules

  • Applied Statistics
  • Computational Statistics
  • Fundamentals of Statistical Inference
  • Probability for Statistics
  • Statistics Research Project

Optional modules

You choose six optional modules in total.

At least two of these will be Theory and Methods modules from Group A.

Your remaining choices can be from any of the modules in Group Ballowing you to study other areas of interest.

Group A – Theory and Methods
  • Contemporary Statistical Theory
  • Bayesian Methods
  • Multivariate Analysis
  • Advanced Simulation Methods
Group B
  • Machine Learning
  • Big Data
  • Deep Learning with Tensor Flow
  • Statistical Genetics and Bioinformatics
  • Advanced Statistical Finance
  • Data Science
  • Biomedical Statistics
  • Introduction to Statistical Finance
  • Graphical Models

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.

Teaching and assessment

Teaching methods

This course will be delivered as a fully online option. The College’s supported Virtual Learning Environment, Blackboard (or equivalent), will be used to deliver the programme.

The programme will be structured by modules, which are the same as the on-campus MSc in Statistics modules.

Methods include:

  • Online lectures
  • Asynchronous videos
  • Office hours
  • Problem classes
  • Practical computational sessions
  • Research seminars
  • Group tutorials

These features allow you to participate in a seamless, flexible, and engaging learning experience and ensure the highest quality online learning environment.

Assessment methods

The format of assessments will vary according to the aims, content and learning outcomes of each module.

Methods include:

  • Assessed coursework/tests
  • Enhanced coursework assessments
  • Oral examinations
  • Written examinations
  • Written project
  • Group assessments

The research project component of the MSc will be assessed via a written thesis (dissertation) and an oral presentation.

Entry requirements

We welcome students from all over the world and consider all applicants on an individual basis.

Entry requirements

Minimum academic requirement

Our minimum requirement is a 2.1 degree in statistics, mathematics, engineering, physics or computer science.

International qualifications

We also accept a wide variety of international qualifications.

The academic requirement above is for applicants who hold or who are working towards a UK qualification.

For guidance see our Country Index though please note that the standards listed here are the minimum for entry to the College, and not specifically this Department.

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

How to apply

Making an application

Apply online

All applicants must apply online.

Visit our Admissions website for details on the application process.

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

Application fee

For 2021–22 entry, we are introducing a pilot application fee for our Master's courses. This helps cover some of the administrative and staffing costs associated with processing the large volume of applications we receive.

This fee will be £80 per application and not per course. 

We will waive the fee for any applicant – Home or Overseas – who demonstrates that they are experiencing financial hardship.

Find out more about the application fee and waiver

The fee for MBA applications to Imperial College Business School is £135. There is no application processing fee for other postgraduate courses such as PhDs.

ATAS certificate

An ATAS certificate is not required for overseas students applying for this course.

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

Home rate of tuition

2021 entry

£16,000 per year

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 2021 will apply to fees for the academic year 2021–2022.

Overseas rate of tuition

2021 entry

£29,000 per year

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 2021 will apply to fees for the academic year 2021–2022.

Postgraduate Master's loan

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 2020-21 entry, the maximum amount was of £11,222. 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. Find out more about our scholarships 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.

Further information

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