Artificial Intelligence

Master of Electrical EngineeringSpecialisation (formal)Year: 2025

You’re viewing the 2025 Handbook:
Or view archived Handbooks

Overview

The proposed Artificial Intelligence specialisation for the Master of Electrical Engineering seeks to address the desire from industry for graduates with a combination of engineering and AI skills and increasing interest from engineering students seeking to integrate Artificial Intelligence into their course of study.  
The Artificial Intelligence specialisation is consistent with the other specialisations offered under the Master of Electrical Engineering and consists of a four-subject package:  
 
ELEN90088 System Optimisation and Machine Learning  
ELEN90099 Applied Deep Learning for Engineers  
ELEN90097 Modelling and Analysis for AI  
ELEN90098 Reinforcement Learning for Engineering  
 
These AI-focused subjects will cover relevant concepts and skills that can be applied on top of a sound foundation of electrical engineering knowledge, provided by the first two years of the degree. This instils in students an understanding of AI technologies and trains them to effectively integrate these with engineering principles and practice in order to apply this skill set to the world's challenges.  

Intended learning outcomes

On completion of this specialisation, graduates will:

  • be able to develop solutions to modern engineering challenges using an engineering systems and advanced computational approach that incorporates multi-disciplinary elements in a fashion that can be analysed, designed, and tested both individually and as a whole; 
  • be able to apply fundamental knowledge in systems engineering and advanced computational methods for modelling, design, control, and real-world implementation of complex, multi-disciplinary engineering systems; 
  • be able to analyse and devise solutions for complex, open‐ended real-world engineering problems that demand a combination of engineering domain knowledge and advanced computing (AI/ML) methods; 
  • be able to execute a data-oriented systems design approach to complex engineering projects, including tasks such as requirements management, system and subsystem integration, prototyping and implementing alternative design solutions, verifying performance against specification, documenting, commissioning and reporting the design outcome.

Last updated: 27 February 2025