Electrical Engineering

#77

in the world
QS World University Rankings by Subject 2023

Do you want to...

Build affordable health tech to help save lives?
Make electric motors more efficient to power our renewable future?
Develop faster, more powerful optical neuromorphic processors to advance AI-powered products?
Design tech to improve lives?

Discover what’s next for electrical engineers and gain the skills to pursue a successful career.

Specialisation overview

As we enter a new era of smart, connected technologies, learn from experienced engineers as you apply theory in hands-on lab sessions and design projects.

You might develop non-invasive foetal heart monitoring techniques. Build neural prosthetics like bionic eyes to help people regain function. Integrate smart cities to ensure pedestrian and cyclist safety. Or design autonomous trains and delivery vehicles to safely transport people and goods – while cutting emissions.

You’ll expand your understanding of signal processing, electronics design, electromagnetism, antennas, real-time system design, multimedia communications and smart grids.

As the adoption of automation and AI accelerates, organisations need a new generation of electrical engineers to analyse data, boost efficiencies and build better products. We’ll show you how to take charge and lead the way.

See the course map and handbook for an outline of the course structures, units and electives.

I want to work in the healthcare industry and empower people with technology. To help bridge the gap between the needs of the people and technological advancement. Monash University was attractive because of its proximity to other healthcare facilities, such as Monash Health. My research interest is biomedical-related, and having existing connections would make finding clinical partners easier. I was also excited about being part of the new Monash Robotics research facility.”

Tina Wu

PhD, Electrical and Computer Systems Engineering

Careers in Electrical engineering

As more industries embrace a connected, smart future, the demand for electrical engineers exceeds supply – presenting you with countless career opportunities. You might:

Develop smart power systems to keep the lights on at home
Help farmers optimise water usage with automatic irrigation networks
Design electronic systems for electric vehicles and self-driving cars
Create advanced robotic systems to support surgeons
Perfect bionic eyes and ears to restore function
Design instruments for the healthcare sector
Develop sensors to connect smart buildings and smart cities

What you will learn

Electrical Engineering

By specialising in electrical engineering, you’ll be able to pursue your passions and direct your development in these areas:

Telecommunications, wireless and optical communications

Explore the latest breakthroughs in next-gen networks, remote data transfer and optical neural networks. So you can integrate and amplify the potential of smart cities and smart devices.

Power and smart energy systems

As the adoption of renewables picks up pace, learn about the latest in green energy production, storage and transmission – to accelerate our cleaner, more efficient future.

Digital and computer systems

Design experiences that empower users, help legacy systems embrace the digital-first future, develop micro-combs that transmit data at blazingly fast speeds, or build medical devices to assist surgery and rehab.

Machine learning and intelligent robotics

Design faster optical neuromorphic processors to power AI. Rethink how service robots could enhance people’s safety, productivity and comfort. Develop robots to monitor complex tasks in challenging environments like construction and mining.

Electronics and hardware design

Cover advanced uses of components like amplifiers, filters, oscillators, modulators and mixers. Plus, integrate sensors to capture data that is understood, analysed and reveals actionable insights.

Signal processing tools

Filter unwanted noise – from audio, video, image and MRI signals – to isolate valuable information. Use stochastic models to process real-world signals, and upskill in linear estimation theory and optimal filtering to design advanced signal processing algorithms.