Course Level
Master Degree (By Coursework)
Master of Engineering in Electrical Engineering
This two year master qualification provides students with specialised knowledge and professional engineering skills to prepare them for a career in the broad context of electrical engineering. The program builds on ANUs interdisciplinary engineering focus and research expertise to give students the required skills to address complex multi disciplinary problems, while at the same time providing advanced technical knowledge in one or more of the fields of power systems, renewable energy, telecommunications systems and mechatronic systems by including specialised courses in these fields. Students also can select computer science technical courses, breadth courses, and elective courses across the University to obtain a unique degree for the job they are after.
Campus | Duration | Fees | ATAR |
|---|---|---|---|
Canberra | Full-time - 2 years | N/A | N/A |
Structure
The Master of Engineering in Electrical Engineering requires the completion of 96 units
Subjects
- ENGN6223 Control Systems
- ENGN6625 Power Systems and Power Electronics
- ENGN6250 Professional Practice: Holistic Thinking and Communication
- ENGN8100 Introduction to Systems Engineering
- ENGN8120 Systems Modelling
- ENGN8260 Professional Practice: Responsible Innovation and Leadership
- ENGN6213 Digital Systems and Microprocessors
- ENGN6331 Systems Dynamics
- ENGN6516 Energy Resources and Renewable Technologies
- ENGN6524 Photovoltaic Technologies
- ENGN6528 Computer Vision
- ENGN6536 Wireless Communications
- ENGN6537 Digital Signal Processing
- ENGN6626 Digital Communications
- ENGN6539 Computer Networks
- ENGN6627 Robotics
- ENGN6628 Network Optimisation and Control
- ENGN8224 Advanced Control Systems
- ENGN8535 Engineering Data Analytics
- ENGN8536 Statistical Inference in Mechatronics
- ENGN8538 Probability and Stochastic Processes in Engineering
- ENGN8830 Photovoltaic Power Plants
- ENGN8831 Integration of Renewable Energy into Power Systems and Microgrids
- ENGN8833 Industrial Energy Efficiency and Decarbonisation
- COMP6262 Logic
- COMP6310 Systems, Networks and Concurrency
- COMP6320 Artificial Intelligence
- COMP6464 High Performance Scientific Computing
- COMP6670 Introduction to Machine Learning
- COMP6710 Structured Programming OR COMP6730 Programming for Scientists
- COMP8300 Parallel Systems
- COMP8600 Statistical Machine Learning
- ENVS6015 GIS and Spatial Analysis
- ENVS6021 Participatory Resource Management: Working with Communities and Stakeholders
- SOCR8201 Introduction to Social Science Methods and Types of Data
- SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy
- SOCR8082 Social Research Practice
Entry requirements
- A 4 year Bachelor of Engineering, Bachelor of Engineering (Honours) or international equivalent with a minimum GPA of 5.0/7.0 in a cognate discipline