Electronic Engineering with Artificial Intelligence

Course summary
Why choose this course
Our BEng and MEng Electronic Engineering with Artificial Intelligence* courses combine:
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Computer programming and architectures
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Firmware applications
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Hardware electronics
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Machine learning
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Software.
Our award-winning Professional Training placements programme provides excellent preparation for a career in the information technology and computing industries.
*Previously called Electronic Engineering with Computer Systems.
What you will study
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This course will train you to apply fundamental concepts and design software and applications for the connected world of the future.
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You’ll learn to apply theory to real engineering problems and technologies, combining specialist skills with scientific research methods.
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You’ll also study advanced topics such as C++ and object-oriented design, digital signal processing and artificial intelligence.
How to apply
Application codes
- Course code:
- H630
- Institution code:
- S85
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Historical entry grades data BETA
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
- Data from:
- This course and 17 other electrical and electronic engineering courses
- Date range:
- 2022-2024
Grades held by accepted students
- A*AA
- Highest grades
- BCC
- Lowest grades
Offer rate for UK school & college leavers
Students aged 17/18 who applied to this course were offered a place.
How do you compare?
See how students with your grades have been accepted onto this course in the past.
Student Outcomes
Operated by the Office for Students
Employment after 15 months (Most common jobs)
Go onto work and study
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Choose a specific option to see funding information.
Course optionsSponsorship information
The University of Surrey offers a range of scholarships and bursaries to support our students, please visit https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries for more details.
University of Surrey
Guildford
GU2 7XH
Course contact details
Admissions
Email:admissions@surrey.ac.uk
Phone:+44(0)1483 682222
