Bachelor of Engineering (Honours) (Machine Learning Systems)

Machine learning engineers play a critical role in advancing artificial intelligence and automation across all fields of engineering. They are responsible for designing, developing and deploying machine learning models that continually operate and optimise processes. 

You will become a versatile systems engineer, capable of bridging the gap between cutting-edge AI and real-world deployment – turning models into reliable, functioning engineering systems. 

Unlike traditional AI or data science degrees, this major focuses on how machine learning operates within complex engineering system. Where models are integrated with sensors, hardware and infrastructure across the full lifecycle from design to deployment and operation.

Examples of real-world applications include the technologies that underpin autonomous vehicles, smart medical devices and wearable technologies, emergency and disaster response systems, autonomous transport, and smart energy grids.

Explore your options

Your engineering degree features common units in the first year that combine broad foundation principles with a wide range of major choices, giving you flexibility and options before you choose your career specialisation.

Students can add a Machine Learning Systems minor to their engineering degree and learn to apply machine learning in real engineering contexts. Build practical skills in data analysis, predictive modelling and AI system development, these capabilities are highly sought after across technology-driven industries. The Machine Learning Systems Minor consists of 48 credit points (4 units) of core Machine Learning Systems units.

Work Integrated Learning

Work Integrated Learning (WIL) is part of the curriculum and is a core part of the component for all engineering students. WIL provides real-world experience while you study, so you graduate with a portfolio that demonstrates your skills and readiness for industry.

As part of your degree, you’ll complete at least 60 days of approved work experience in an engineering setting, working under the guidance of a Professional Engineer. You’ll start planning your Work Integrated Learning (WIL) opportunities from your second year.

Once you’ve completed 192 credit points in your single degree, you’ll be eligible to undertake an engineering-related placement. 

Careers and outcomes

Graduates are in high demand, with excellent salary prospects and career stability on offer from employers. Graduates will be equipped for roles across diverse sectors including aerospace, robotics, defence, transport, mining, healthcare, energy and advanced manufacturing.

This program also provides an excellent foundation for research pathways.

Professional recognition

The Bachelor of Engineering (Honours) is accredited by Engineers Australia (EA). Provisional accreditation is being sought for the Machine Learning Systems major. 

EA is a signatory to the Washington Accord, which permits graduates to work in various countries across the world. The Bachelor of Engineering (Honours) is recognised internationally in the engineering profession, giving our graduates more career opportunities overseas.