PhD student working with robot
  • Postgraduate taught
  • MSc

Applied Machine Learning

Learn how to design, implement and evaluate machine learning systems.

Learn how to design, implement and evaluate machine learning systems

Develop practical skills with industrial input

Work alongside internationally-leading experts in machine learning

Course key facts

Minimum entry standard

  • First class Honours (minimum of 75% overall) in electrical/electronic engineering or a related subject with a substantial electrical/electronic engineering component

View full entry requirements

Course overview

Explore the processes used to develop real-world systems that involve signals, sensors and hardware, such as robots or mobile phones.

Through lectures, tutorials and labs, you'll delve into the theory, practical knowledge and skills that underpin machine learning. You'll then apply this knowledge to a range of electrical engineering domains.

Specialist modules will give you the opportunity to improve your understanding of specific machine learning applications, including AI, computer vision, robotics and signal processing.

You'll also complete an individual research project, which encourages you to develop your own ideas towards a machine learning approach.

A wide range of industries value the skills you have the opportunity to gain on this course including telecommunications, energy, healthcare and logistics. You also have the opportunity to go into further research.


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, including a substantial individual project to showcase your machine learning knowledge.

Core modules

You’ll also choose six optional modules.

Optional modules

You’ll complete an individual research project, which is a chance for you to develop a significant machine learning approach in the electrical and electronic engineering space.

You are encouraged to bring original thinking to a research area of interest to you.

Teaching and assessment

Balance of teaching and learning


  • Lectures and lab work
  • Independent study
  • Research project

  • 20% Lectures and lab work
  • 36% Independent study
  • 44% Research project

Teaching and learning methods

  • Blackboard virtual learning environment
    Virtual learning environment
  • Person at lectern giving speech
  • Seminars
  • Four students sitting in a tutorial
  • Laboratory work
  • A person studying independently
    Independent study
  • Individual and group projects

Balance of assessment


  • Coursework
  • Examinations
  • Practical

  • 50% Coursework
  • 40% Examinations
  • 10% Practical

Assessment methods

  • Person completing coursework
  • A person completing a written exam
  • Checklist for a practical examination
  • Individual research 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.

Application deadlines – Round 3 closes on Friday 24 May 2024

Tuition fees

Home fee

2024 entry


Overseas fee

2024 entry


How will studying at Imperial help my career?


Discover how electrical engineering can be applied to machine learning by developing real-world systems.

Computer monitor showing data

Prepare for careers in areas requiring intelligent signal and data processing design, analysis, and control.

Man standing under a sign pointing different directions

Electrical and electronic engineering graduates at Imperial are highly sought after in a wide range of sectors.

Robot hand

These include robotics, computing and communications.

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