Applied Machine Learning

Gain the skills to design, implement and evaluate machine learning systems.

Key information

Duration: 1 year full-time
Start dateOctober 2022
Location: South Kensington
ECTS: 90 credits
Apply now

Overview

During this course, you will focus on applying machine learning to electrical engineering. Applications include robotics, computer vision bio-inspired learning, communication and signal processing.

This course is perfect if you’re interested in developing real-world systems. These will involve signals, sensors and hardware, such as robots or communication devices.

Address the challenge of how automated systems can learn from signals and data as they operate in real environments.

Learn through specialised modules including a specialised computer laboratory module. These allow you to develop practical skills with industrial input and your own individual project.

  • Learn the theoretical basis for machine learning systems, design methods and algorithms for modelling real systems
  • Equip yourself to a range of careers. These could involve the design, modelling, analysis and control of intelligent signal and data processing
  • Develop advanced knowledge of machine and deep learning in engineering
  • Gain skills that enable you to continue your studies to PhD level

Through the course, you will learn from field-leading staff. You will gain a critical awareness of current issues, research and their applications. Applying different methodologies, you will tackle complex issues systematically and creatively.

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.

Page last reviewed on 25 October 2021.

Structure

Core modules

You will study all the modules below. This includes a substantial individual project.

  • Machine Learning
  • Deep Learning
  • Laboratory in Applied Machine Learning
  • Individual Project in Applied Machine Learning

Optional modules

Optional modules allow you to broaden your experience of machine learning applications.

The following is an indicative list of the modules you can expect to choose from.

  • Adaptive Signal Processing and Machine Intelligence
  • Artificial Intelligence
  • Digital Image Processing
  • Human-Centered Robotics
  • Probability and Stochastic Processes
  • Topics in Large Dimensional Data Processing
  • Self-Organising Multi-Agent Systems
  • Speech Processing
  • Computer Vision and Pattern Recognition
  • Wavelets, Representation Learning and their Applications
  • Topics in Control Systems

These modules are subject to change for your year of entry.

Individual Project

This project is an opportunity for you to demonstrate independence and originality.

You will plan and organise a large project over a long period, applying techniques you have learned. It’s a chance to develop a significant machine learning approach in the electrical and electronic engineering domain.

The idea could be your own or come from a member of staff (possibly in conjunction with industry), or a combination of the two.

Teaching and assessment

Teaching

  • Lectures
  • Seminars
  • Tutorials
  • Laboratory-based teaching and learning
  • Independent study option (one-to-one study of a topic under the supervision of an advisor)
  • Coursework
  • Individual and group projects

Assessment

Summative assessment

  • Written exams
  • Coursework
  • Computer laboratory work
  • Written reports
  • Oral presentation

Formative assessment

  • Case studies
  • programming activities
  • group work 

Overall workload

The expected total study time is 2,250 hours per year.

Your overall workload consists of face-to-face sessions and independent learning. Contact hours may vary according to the modules you choose.

At Imperial, each ECTS credit taken equates to an expected total study time of 25 hours.

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 first-class degree in electrical/electronic engineering, or a related subject with a substantial electrical/electronic engineering component.

When an applicant does not meet the entry requirements, but has at least three years of relevant work experience, exceptionally the Postgraduate Admissions Tutor may make a special case for admission.

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.

View the Department of Electrical and Electronic Engineering's competence standards [pdf]

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.

Department of Electrical and Electronic Engineering

T: +44 (0)20 7594 3123
E: admit.eee@imperial.ac.uk

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

If you are applying for a taught Master’s course, you will need to pay an application fee before submitting your application.

The fee applies per application and not per course:

  • £80 for taught Master's applications (excluding MBAs)
  • £135 for MBA applications

There is no application fee for MRes courses, Postgraduate Certificates, Postgraduate Diplomas or research courses, such as PhDs and EngDs.

If you are facing financial hardship and are unable to pay the application fee, we encourage you to apply for our application fee waiver. 

Find out more about the application fee and waiver

ATAS certificate

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

Further questions?

Find answers to your questions about admissions. Answers cover COVID-19, English language requirements, Visas and more.

Visit the FAQs

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.

Find out more about fees and funding opportunities.

Tuition fees

Home rate of tuition

2022 entry

£19,450

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.

EU/EEA students

Students from the EU, other EEA country and/or Switzerland starting a course on or after 1 August 2021 will no longer be eligible for the Home rate of tuition, and so will be charged the Overseas fee. Please note, this does not apply to Irish students or students with Citizens Rights benefitting from Citizens’ Rights under the EU Withdrawal Agreement, EEA EFTA Separation Agreement or Swiss Citizens’ Rights Agreement respectively.

Overseas rate of tuition

2022 entry

£36,500

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.

EU/EEA students

Students from the EU, other EEA country and/or Switzerland starting a course on or after 1 August 2021 will no longer be eligible for the Home rate of tuition, and so will be charged the Overseas fee. Please note, this does not apply to Irish students or students with Citizens Rights benefitting from Citizens’ Rights under the EU Withdrawal Agreement, EEA EFTA Separation Agreement or Swiss Citizens’ Rights Agreement respectively.

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 2021-22 entry, the maximum amount is £11,570. 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.

A number of external organisations also offer awards for Imperial students. Find out more about non-Imperial scholarships.

If you are an Iranian national and are accepted to study at Imperial starting this October, you may be eligible to apply for the Irani family scholarship.

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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