Duration: 1 year full-time Start date: October 2023 Location: Online ECTS: 90 credits
Applications are not currently open for this course
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:
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.
A limited number of places exist for each specialist stream. If you are unsuccessful in applying for one of these, you will automatically be considered for the general stream.
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
This page reflects the latest version of the curriculum for this year of entry. However, this information is subject to change.
Find out more about the limited circumstances in which we may need to make changes to or in relation to our courses, the type of changes we may make and how we will tell you about changes we have made.
You choose five or six optional modules from below 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 1
Bayesian Methods
Multivariate Analysis
Machine Learning
Introduction to Statistical Finance
Advanced Statistical Finance
Biomedical Statistics
Statistical Genetics and Bioinformatics
Big Data
Advanced Simulation Methods
Data Science
Deep Learning with TensorFlow
Nonparametric Statistics
Stochastic Processes
MLDS Deep Learning with Pytorch and Tensorflow (7.5 ECTS)
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
Probability for Statistics
Fundamentals of Statistical Inference
Applied Statistics
Computational Statistics
Statistics Research Project
Optional modules
You choose at least four modules from Group 1 and the remainder from Group 2 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 1
Advanced Simulation Methods
Bayesian Methods
Biomedical Statistics
Data Science
Introduction to Statistical Finance
Machine Learning
Group 2
Advanced Statistical Finance
Big Data
Nonparametric Statistics
Deep Learning with TensorFlow
Multivariate Analysis
Statistical Genetics and Bioinformatics
Stochastic Processes
MLDS Deep Learning with Pytorch and Tensorflow (7.5 ECTS)
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
Probability for Statistics
Fundamentals of Statistical Inference
Applied Statistics
Computational Statistics
Statistics Research Project
Core Biostatistics modules
Biomedical Statistics
Statistical Genetics and Bioinformatics
Optional modules
You choose three or four optional modules from below for a total of 20-22.5 ECTS.
You can choose a maximum of two modules each worth 7.5 ECTS. Each module is worth 5 ECTS unless otherwise stated.
Group 1
Nonparametric Statistics
Bayesian Methods
Multivariate Analysis
Machine Learning
Introduction to Statistical Finance
Advanced Statistical Finance
Big Data
Advanced Simulation Methods
Data Science
Deep Learning with TensorFlow
Nonparametric Statistics
Stochastic Processes
MLDS Deep Learning with Pytorch and Tensorflow (7.5 ECTS)
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
Probability for Statistics
Fundamentals of Statistical Inference
Applied Statistics
Computational Statistics
Statistics Research Project
Core Data Science modules
Machine Learning
Data Science
Big Data
Optional modules
You choose two optional modules from below 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.
Nonparametric Statistics
Bayesian Methods
Multivariate Analysis
Introduction to Statistical Finance
Advanced Statistical Finance
Biomedical Statistics
Statistical Genetics and Bioinformatics
Advanced Simulation Methods
Nonparametric Statistics
Stochastic Processes
MLDS Deep Learning with Pytorch and Tensorflow (7.5 ECTS)
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
Probability for Statistics
Fundamentals of Statistical Inference
Applied Statistics
Computational Statistics
Statistics Research Project
Core Statistical Finance modules
Introduction to Statistical Finance
Advanced Statistical Finance
Stochastic Processes
Optional modules
You choose any other modules from below for a total of 15-17.5 ECTS.
You can choose a maximum of two modules each worth 7.5 ECTS. Each module is worth 5 ECTS unless otherwise stated.
Group 1
Nonparametric Statistics
Bayesian Methods
Multivariate Analysis
Machine Learning
Biomedical Statistics
Statistical Genetics and Bioinformatics
Big Data
Advanced Simulation Methods
Data Science
Deep Learning with TensorFlow
Nonparametric Statistics
MLDS Deep Learning with Pytorch and Tensorflow (7.5 ECTS)
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
Probability for Statistics
Fundamentals of Statistical Inference
Applied Statistics
Computational Statistics
Statistics Research Project
Optional modules
You choose at least two modules from Group 1 and the remainder from Group 2 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 1
Nonparametric Statistics
Bayesian Methods
Multivariate Analysis
Advanced Simulation Methods
Group 2
Machine Learning
Introduction to Statistical Finance
Advanced Statistical Finance
Biomedical Statistics
Statistical Genetics and Bioinformatics
Big Data
Data Science
Deep Learning with TensorFlow
Nonparametric Statistics
Stochastic Processes
MLDS Deep Learning with Pytorch and Tensorflow (7.5 ECTS)
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.
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 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 higher 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.
Competence standards
Our competence standards highlight the core skills students should be able to demonstrate by the end of this course.
We believe in providing the widest practicable access to all of our degree programmes and will make reasonable adjustments wherever possible to support your study. For more information, please contact the Department using the contact details below.
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.
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 2022 will apply to fees for the academic year 2022–2023.
Fee status
Whether you pay the Home fee depends on your fee status.
Your fee status is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status.
Find out more about how we assess your fee status.
EU/EEA/Swiss students
The Government has confirmed that EU/EEA/Swiss students who begin a course before the 31 July 2021 will be eligible to pay the same fee as Home students and have access to student finance for the duration of their course, as long as they meet certain requirements which are unchanged from previous years. This includes students who begin the course remotely.
EU/EEA/Swiss students starting a course on or after 1 August 2021 will no longer be eligible for the Home fee rate and so will be charged the Overseas fee. Please note, we do not expect this to apply to Irish students or students benefitting from Citizens' Rights under the EU Withdrawal Agreement, EEA EFTA Separation Agreement or Swiss Citizens' Rights Agreement respectively. However, we are currently awaiting the formal publication of the amended Fees and Awards regulations.
The UK Council for International Student Affairs (UKCISA) website has useful information on the conditions you currently need to meet to be entitled to pay tuition fees at the Home rate for study on a higher education course in England and reflect the regulations as they currently stand (not the amended regulations which are subject to publication).
Overseas rate of tuition
2023 entry
£32,400
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 2022 will apply to fees for the academic year 2022–2023.
Fee status
Whether you pay the Overseas fee depends on your fee status.
Your fee status is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status.
Find out more about how we assess your fee status.
EU/EEA/Swiss students
The Government has confirmed that EU/EEA/Swiss students who begin a course before the 31 July 2021 will be eligible to pay the same fee as Home students and have access to student finance for the duration of their course, as long as they meet certain requirements which are unchanged from previous years. This includes students who begin the course remotely.
EU/EEA/Swiss students starting a course on or after 1 August 2021 will no longer be eligible for the Home fee rate and so will be charged the Overseas fee. Please note, we do not expect this to apply to Irish students or students benefitting from Citizens' Rights under the EU Withdrawal Agreement, EEA EFTA Separation Agreement or Swiss Citizens' Rights Agreement respectively. However, we are currently awaiting the formal publication of the amended Fees and Awards regulations.
The UK Council for International Student Affairs (UKCISA) website has useful information on the conditions you currently need to meet to be entitled to pay tuition fees at the Home rate for study on a higher education course in England and reflect the regulations as they currently stand (not the amended regulations which are subject to publication).
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 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.
Scholarships
We offer a range of scholarships for postgraduate students to support you through your studies.
There are some important pieces of information you should be aware of when applying to universities. We've put together this information in a dedicated section of our website.
