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- Postgraduate taught
- MSc
Learn how to design, implement and evaluate machine learning systems.
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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
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Qualification
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MSc
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Duration
1 year
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Start date
September 2024
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Study mode
Full-time
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Fees
£22,250 Home
£41,750 Overseas
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Delivered by
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Department of Electrical and Electronic Engineering
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Location
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South Kensington
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Minimum entry standard
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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.
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.
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.
- Core modules
- Optional modules
- Individual Project
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
Key
- Lectures and lab work
- Independent study
- Research project
- 20% Lectures and lab work
- 36% Independent study
- 44% Research project
Teaching and learning methods
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Virtual learning environment
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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
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Coursework -
Examinations -
Practical -
Individual research project
Entry requirements
We consider all applicants on an individual basis,welcomingstudents from all over the world.
- Minimum academic requirement
- English language requirement
- International qualifications
First class Honours(minimum of 75% overall) in electrical/electronic engineering or a related subject with a substantial electrical/electronic engineering component.
Footnotes
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.
All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial.
For admission to this course, you must achieve thehigher university requirementin the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see theEnglish language requirements.
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 accepted qualificationsthough please note that the standards listed are theminimum for entry to Imperial, andnot 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.
How to apply
Applications are now closed for 2024 entry.
Tuition fees
- Home fee
- Overseas fee
Home fee
2024 entry
£22,250
Overseas fee
2024 entry
£41,750
How will studying at Imperial help my 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: eee.pgadmissions@imperial.ac.uk
Course Director:Professor Krystian MikolajczykAcademic Lead:Dr Ad Spiers
Visit theDepartment ofElectrical and Electronic Engineering website.
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Read our terms and conditions
You can findfurther information about your course,includingdegree classifications, regulations, progression and awards in the programme specification for your course.
Programme specifications
