The Master of Engineering in Mechatronics requires the completion of 96 units, which must consist of:
84 units from completion of the following compulsory courses:
ENGN6213 Digital Systems and Microprocessors
ENGN6223 Control Systems
ENGN6250 Professional Practice 1
ENGN6528 Computer Vision
ENGN8100 Introduction to Systems Engineering
ENGN8120 Systems Modelling
ENGN8170 Group Project
ENGN8260 Professional Practice 2
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
A maximum of 12 units from completion of elective courses offered by ANU
|Year 1 48 units||ENGN8100 Introduction to Systems Engineering 6 units||ENGN6250 Professional Practice 1 6 units||ENGN6213 Digital Systems and Microprocessors 6 units||ENGN6528 Computer Vision 6 units|
|ENGN8120 Systems Modelling 6 units||ENGN8260 Professional Practice 2 6 units||ENGN6223 Control Systems 6 units||ENGN6627 Robotics 6 units|
|Year 2 48 units||ENGN8538 Probability and Stochastic Processes in Engineering 6 units||ENGN8535 Engineering Data Analytics 6 units||ENGN8170 Group Project 12 units||ENGN8170 Group Project 12 units|
|ENGN8537 Embedded Systems and Real Time Digital Signal Processing 6 units||ENGN8536 Advanced Topics in Mechatronics Systems 6 units||University elective 6 units||University elective 6 units|
A Bachelor of Engineering, Bachelor of Engineering with Honours or international equivalent with a minimum GPA of 5/7 and a minimum of 1 course in computer programming.
All applicants must meet the University’s English Language Admission Requirements for Students
Electrical and Electronics Engineering, Automation and Intelligent Systems, Information Engineering, and Computer Science and Engineering
- Annual indicative fee for domestic students
For more information see: http://www.anu.edu.au/students/program-administration/costs-fees
- Annual indicative fee for international students
For further information on International Tuition Fees see: https://www.anu.edu.au/students/program-administration/fees-payments/international-tuition-fees
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 specialized knowledge and professional engineering skills to prepare them for a career in the rapidly-growing fields of mechatronics, robotics and automation, computer vision and intelligent systems. 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 the above fields.
The program includes specialized courses in control systems, computer vision, robotics, embedded systems, and data analytics. Students also have the opportunity to select electives from across the University.
Work Integrated Learning is an important part of the program and is delivered through the group project.
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.
Upon successful completion, students will be able to:
1. Professionally apply systematic engineering methods to address complex, multi-disciplinary real-world engineering problems related to robotics and mechatronic systems.
2. Proficiently apply advanced, integrated technical knowledge in mechatronics and the underpinning sciences and scientific methods.
3. Identify and critically evaluate current developments and emerging trends within the robotics, intelligent systems, and industry automation 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 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.