这个为期两年的硕士资格为学生提供专业知识和专业工程技能，为他们在电气工程的广阔背景下的职业生涯做准备。该项目建立在澳大利亚国立大学跨学科的工程重点和研究专长的基础上，为学生提供必要的技能，以解决复杂的多学科问题，同时提供先进的技术知识，在一个或多个领域的电力系统，可再生能源，电信系统和机电系统，包括这些领域的专门课程。学生还可以选择计算机科学技术课程，广度课程和选修课程在整个大学。

学制： 2 years full time

学费： $45,600.00

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

Entry requirements：

A Bachelor of Engineering, Bachelor of Engineering (Honours) or international equivalent with a minimum GPA of 5.0/7.0

English language requirements:

An overall score of 6.5 with a minimum of 6.0 in each component of the test.

Application deadlines ：

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