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
-
Qualification
-
MSc
-
-
Duration
1 year
-
Start date
October 2023
-
Study mode
Full-time
-
Fees
£21,000 Home
£39,400 Overseas
-
Delivered by
-
Location
-
South Kensington
-
Minimum entry standard 2023
-
First class Honours (minimum of 75% overall) in electrical/electronic engineering or a related subject with a substantial electrical/electronic engineering component
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.
Structure
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, including a substantial individual project to showcase your machine learning knowledge.
Core modules
Examine the theory and practice of modern machine learning methods, and learn how machine learning helps computers extract information automatically from data.
Develop skills essential for carrying out group research projects in deep learning, applied to electrical and electronic engineering problems.
Focus on deep neural network based learning and learn how it impacts our understanding of intelligence and contributes to the practical design of intelligent machines.
You’ll also choose six optional modules.
Optional modules
Gain an insight into key artificial intelligence concepts and the analysis of algorithms.
Discover the concepts, basic formulations and applications of pattern recognition.
Assess the fundamental digital image processing methods that stem from a signal processing approach.
Analyse the theory and design of robotic systems capable of intelligent interaction with humans, and their application in industrial, medical and rehabilitation settings.
Gain the analytical skills required to study random phenomena in engineering systems and learn how to set up probabilistic models for engineering problems.
Become acquainted with the signal processing and statistical techniques that are used in processing speech signals and understand how they are used.
Understand the challenges involved with engineering ever more complex socio-technical and cyber-physical systems to support and enhance a “digital society”.
Broaden your knowledge of advanced modern control methodologies and explore topics including Kalman filtering and tracking, fault detection and isolation, and linear matrix inequalities.
Become familiar with the theory and design of algorithms to acquire and process large dimensional data arising in areas such as finance and the internet.
Advance your understanding of wavelet theory and discover how wavelets extract essential information in a fast and effective way.
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
Key
- Lectures and lab work
- Independent study
- Research project
- 20% Lectures and lab work
- 36% Independent study
- 44% Research project
Teaching and learning methods
-
Virtual learning environment
-
Lectures
-
Seminars
-
Tutorials
-
Laboratory work
-
Independent study
-
Individual and group projects
Balance of assessment
Key
- Coursework
- Examinations
- Practical
- 50% Coursework
- 40% Examinations
- 10% Practical
Assessment methods
-
Coursework
-
Examinations
-
Practical
-
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.
We operate a staged admissions process with several application rounds throughout the year.
Apply by midnight (UK time) on the relevant application round deadline to ensure that you receive the outcome of your application by the decision date.
We recommend applying as early as you can – we cannot guarantee that places will be available, or that courses will remain open, in later rounds.
Application rounds
Round 1
- Apply by 20 January 2023
- Decision by 10 March 2023
Round 2
- Apply by 31 March 2023
- Decision by 12 May 2023
Round 3
- Apply by 26 May 2023
- Decision by 27 July 2023
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 all taught Master's applications excluding those to the Imperial College Business School
- £100 for all MSc applications to the Imperial College Business School
- £150 for MBA applications to the Imperial College Business School
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 how to apply for a Master's course, including references and personal statements.
An ATAS certificate is not required for students applying for this course.
Tuition fees
Home fee
2023 entry
£21,000
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the College, not your year of study. This means that if you repeat a year or resume your studies after an interruption, your fees will only increase by the amount linked to inflation.
Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.
Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status.
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 was £11,836. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Overseas fee
2023 entry
£39,400
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the College, not your year of study. This means that if you repeat a year or resume your studies after an interruption, your fees will only increase by the amount linked to inflation.
Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.
Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status.
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 was £11,836. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Your future career
Discover how electrical engineering can be applied to machine learning by developing real-world systems.
Prepare for careers in areas requiring intelligent signal and data processing design, analysis, and control.
Electrical and electronic engineering graduates at Imperial are highly sought after in a wide range of sectors.
These include robotics, computing and communications.
Further links
Contact the department
- Telephone: +44 (0)20 7594 3123
- Email: eeepgoffice@imperial.ac.uk
Course Director: Professor Krystian Mikolajczyk
Academic Lead: Dr Ad Spiers
Visit the Department of Electrical and Electronic Engineering website.
/fit-in/1440x9999999/prod01/channel_2/media/study---restricted-images/img-1153_090055_001.jpg)
Request info
Find out more about studying at Imperial. Receive updates about life in our community, including event invites and download our latest Study guide.
Request info
/fit-in/1440x9999999/prod01/channel_2/media/study---restricted-images/Newsletter.jpg)
/fit-in/1440x9999999/prod01/channel_2/media/study---restricted-images/UG---Events.jpg)
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.
You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.
Programme specifications