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Electrical and Electronic Engineering with Foundation Year

BEng · University of Plymouth · 4 years

Electrical and Electronic Engineering with Foundation Year

27

University of Plymouth

AI IMPACT
MEDIAN PAY, 15 MOnot published
SATISFACTION81%
CONTINUATION75%
PROFESSIONAL JOBS100%
DESTINATION-WEIGHTEDAI is already used for about 27% of the work its graduates go into (Moderate).
CONTINUATION ALERT

About this course

Electrical and electronic engineering sits at the foundation of the modern built and digital environment. Every system that generates, transmits or controls electrical power, and every device that processes, communicates or stores information, depends on engineering knowledge that spans circuits, electromagnetics, signal processing, control systems and the software that ties hardware together. As the energy transition, the growth of artificial intelligence and the expansion of connected systems reshape industry and infrastructure, the demand for electrical and electronic engineers continues to grow. At the University of Plymouth, this four-year full-time programme begins with a foundation year, providing an accessible entry route that builds your mathematical, scientific and computational foundations before you progress into the main degree. You will study programming in Python and lear

Where its graduates go

The 3 largest scored destinations, covering 100% of graduates; the headline also reflects the subject baseline.

  • 30 / 100Managers, directors and senior officials · 10% of graduatescards →
  • 28 / 100Engineering professionals · 80% of graduatescards →
  • 18 / 100Teaching Professionals · 10% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).

MORE ON THIS COURSEClassic profile (reviews, comparisons, open days, campus video) · this course as data. Measured August 2026; pay, satisfaction and continuation figures are the course's own published data (HESA GO / LEO / NSS).