Program Structure:
The Master of Engineering in Electrical Engineering requires the completion of 96 units, which must consist of:
48 units from completion of the following compulsory courses:
- ENGN6250 Professional Practice 1
- ENGN8260 Professional Practice 2
- ENGN8100 Introduction to Systems Engineering
- ENGN8120 Systems Modelling
- ENGN8170 Group Project (12 units)
- ENGN6625 Power Systems and Power Electronics
- ENGN6223 Control Systems
A minimum of 36 units from completion of courses from the following lists. These 36 units must consist of:
- A minimum of 12 units from completion of electrical engineering electives.
- A maximum of 18 units from completion of computing electives.
- A maximum of 6 units from completion of breadth electives.
- A minimum of 24 units from completion of 8000-level electrical engineering or computing electives.
Electrical Engineering Electives:
- ENGN6213 Digital Systems and Microprocessors
- ENGN6331 Systems Dynamics
- ENGN6334 Semiconductors
- ENGN6513 Fibre Optics Communication Systems
- ENGN6516 Energy Resources and Renewable Technologies
- ENGN6524 Photovoltaic Technologies
- ENGN6528 Computer Vision
- ENGN6536 Wireless Communications
- ENGN6537 Digital Signal Processing
- ENGN6626 Digital Communications
- ENGN6627 Robotics
- ENGN6539 Data Communication Networks*
- ENGN6628 Network Optimisation and Control**
- ENGN8224 Advanced Control Systems
- ENGN8534 Information Theory
- ENGN8535 Engineering Data Analytics
- ENGN8536 Advanced Topics in Mechatronics Systems
- ENGN8537 Embedded Systems and Real Time Digital Signal Processing
- ENGN8538 Probability and Stochastic Processes in Engineering
- ENGN8637 Advanced Topics in Communications and Signal Processing
- ENGN8830 Photovoltaic Power Plants
- ENGN8831 Integration of Renewable Energy into Power Systems and Microgrids
- ENGN8833 Industrial Energy Efficiency and Decarbonisation
- ENGN8625 Advanced Power Systems
Computing Electives:
- COMP6710 Structured Programming OR COMP6730 Programming for Scientists
- COMP6310 Systems, Networks and Concurrency
- COMP6262 Logic
- COMP6320 Artificial Intelligence
- COMP6464 High Performance Scientific Computing
- COMP6670 Introduction to Machine Learning (New course in 2019/2020)
- COMP8300 Parallel Systems
- COMP8600 Statistical Machine Learning
Breadth Electives
- SOCR8201 Introduction to Social Science Methods and Types of Data
- SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy
- SOCR8082 Social Research Practice
- ENVS6015 GIS and Spatial Analysis
- ENVS6021 Participatory Resource Management: Working with Communities and Stakeholders
A maximum of 12 units from completion of elective courses offered by ANU
*Note that ENGN6539 will be offered from Semester 2, 2021 onwards.
**Note that ENGN6628 will be offered from Semester 2, 2022 onwards.