single degree

Master of Engineering in Electrical Engineering

A single two year graduate award offered by the ANU College of Engineering and Computer Science

MENGEL
  • Length 2 year full-time
  • Minimum 96 Units
  • Mode of delivery
    • In Person
  • Field of Education
    • Engineering and Related Tech
  • Academic contact
  • Length 2 year full-time
  • Minimum 96 Units
  • Mode of delivery
    • In Person
  • Field of Education
    • Engineering and Related Tech
  • Academic contact

Program Requirements

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.


Admission Requirements

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

Cognate Disciplines

Electrical Engineering, Electronic Engineering, Power Engineering, Telecommunications Engineering, Control and Automation Engineering, Energy Engineering, and Optical Engineering.

English Language Requirements

All applicants must meet the University’s English Language Admission Requirements for Students.

Assessment of Qualifications

Unless otherwise indicated, ANU will accept all Australian Qualifications Framework (AQF) qualifications or international equivalents that meet or exceed the published admission requirements of our programs, provided all other admission requirements are also met. Where an applicant has more than one completed tertiary qualification, ANU will base assessment on the qualification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework: www.aqf.edu.au

ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for admission at ANU will be converted to this common scale, which will determine if an applicant meets our published admission requirements. Find out more about how a 7-point GPA is calculated for Australian universities: www.uac.edu.au/future-applicants/admission-criteria/tertiary-qualifications

Unless otherwise indicated, where an applicant has more than one completed tertiary qualification, ANU will calculate the GPA for each qualification separately. ANU will base assessment on the best GPA of all completed tertiary qualifications of the same level or higher.

Cognate Disciplines

Electrical Engineering, Electronic Engineering, Power Engineering, Telecommunications Engineering, Control and Automation Engineering, Energy Engineering, and Optical Engineering.

Domestic Tuition Fees (DTF)

For more information see: http://www.anu.edu.au/students/program-administration/costs-fees

Annual indicative fee for international students
$45,600.00

For further information on International Tuition Fees see: https://www.anu.edu.au/students/program-administration/fees-payments/international-tuition-fees

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

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 ANU’s 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.

Career Options

Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide.

The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.

This program is available for applications to commence from First Semester, 2019

Learning Outcomes

  1. Professionally apply systematic engineering methods to address complex, multi-disciplinary real-world engineering problems related to modern electrical engineering systems.

  2. Proficiently apply advanced, integrated technical knowledge in the broad context of electrical engineering and the underpinning sciences and scientific methods.

  3. Identify and critically evaluate current developments and emerging trends within the electrical engineering sector.

  4. Understand the contextual factors that influence professional engineering practice, and identify the potential societal, ethical, and environmental impact of engineering activities.

  5. Communicate effectively with colleagues, other engineering professionals and the broader community employing a range of communication media and tools.

  6. Engage in independent investigation, critical reflection and lifelong learning to continue to practice at the forefront of the discipline.

  7. Work effectively and proactively within cross-cultural, multi-disciplinary teams, demonstrating autonomy, ethical conduct, expert judgement, adaptability and responsibility to achieve engineering outcomes at a high standard. 

Inherent Requirements

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