12 monthsProgramme duration
43,800 GBPTuition Fee/year
3Scholarships
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
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.
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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
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.
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.
Admission Requirements
92+
185+
6.5+
304+
62+
3.7+
115+
First-class Honours (minimum of 75% overall) 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.
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.
1 Year
Sep
Tuition fees
Domestic
23,400 GBP
International
43,800 GBP
Scholarships
Value
$20000
Deadline
5 Feb 2027
Imperial College London - Chevening-Bseisu Scholarship
Imperial College London - Chevening-Bseisu Scholarship
Master's
Value
100% tuition fee waiver
Deadline
2 Apr 2027
Value
100% tuition fee waiver
Deadline
21 May 2027
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