Neuromorphic Engineering is an exciting inter-disciplinary field combining aspects from electrical engineering, computer science, neuroscience, signal processing and mathematics.
The Master of Applied Neuromorphic Engineering offers students an opportunity to partner with high-profile industry partners in an applied project or a research project, mentored by leading researchers from the International Centre for Neuromorphic Systems at the MARCS Institute.
Note: All students who enrol in the 8124 Master of Applied Neuromorphic Engineering will have the option to transition to 8123 Master of Neuromorphic Engineering at the end of their first year.
Students may be required to travel between campuses to complete their subjects.
This program seeks to address the rapidly growing demand for alternative inter-disciplinary technologies, such as bio-inspired agile sensory systems, smart edge devices, and brain-inspired high performance computational platforms. The students will be introduced to state-of-the-art neuromorphic hardware, sensors and algorithms in a highly structured way that increases their acumen for approaching new situations with creativity and initiative.
A student completing the two-year degree may apply to pursue a PhD. Two exit options (Graduate Certificate in Neuromorphic Engineering and Graduate Diploma in Neuromorphic Engineering) are also available. The majority of the programs subjects will be undertaken at Parramatta City - Hassall St campus, while the applied project and research project will be located at Penrith campus.
Study at Western's high tech Parramatta City campus.
Professional accreditation will be sought from Engineers Australia for the Master of Neuromorphic Engineering program. Students will be subsequently eligible to apply for Chartered Professional Engineering registration upon successful completion of the required engineering practice period specified by Engineers Australia.
Master of Neuromorphic Engineering
Advance your knowledge with the Master of Neuromorphic Engineering at Western Sydney University. Being one of the first of its kind in the world, the program further equips students with the knowledge of neuromorphic perception and processing. Learn how neuromorphic systems and circuits have natural advantages over conventional solutions, namely noise tolerance, low power consumption, low latency output and high dynamic range sensing.
Students who have completed an Undergraduate Degree in Electrical Engineering, Electronics, Biomedical Engineering, Computer Science, or a related degree are encouraged to apply. All students who enrol in the 8124 Master of Applied Neuromorphic Engineering will have the option to transition to 8123 Master of Neuromorphic Engineering at the end of their first year.
Fees and delivery
Delivery: On campus
Fees: AUD $34,944*
Delivery: On campus
Start your unlimited journey today.
As an engineering graduate, you can look forward to career opportunities in:
- Artificial Intelligence (AI)
- Robotics and Mechatronics
- Computational Neuroscience
- Electronics Engineer
- Biomedical Engineer
- Signal Processing
The broad area of Artificial Intelligence relates to the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, and other forms of intelligent decision-making.
Robotics and Mechatronics
Robotics and mechatronics is where computer and electrical engineering meet, employing computer control systems to make devices smarter and more efficient. As a robotics and mechatronics engineer you could create extraordinary systems such as planetary exploration rovers or robots for precision manufacturing or to assist the elderly.
Computational neuroscience is the field of study in which mathematical tools and theories are used to investigate brain function. It can also incorporate diverse approaches from electrical engineering, computer science and physics in order to understand how the nervous system processes information.
Electronics engineering utilizes nonlinear and active electrical components, such as semiconductor devices, especially transistors and diodes, to design integrated circuits and their systems. Large-scale adaptive analog systems such as neuromorphic devices are more robust to component degradation and failure than are more conventional systems, and they use far less power.
Applies knowledge and methodology of physics, engineering, mathematics, computing, physical chemistry and materials science to problems in biology and the treatment and prevention of human disease
Signal processing in a wide variety of industries focus on analysing, modifying, and synthesizing digital or analog signals -- to improve transmission, storage efficiency, subjective quality and to also emphasize or detect components of interest in a measured signal.
Apply now and start your unlimited journey.
*The tuition fees quoted above are the fees for the normal full-time study load of the program (80 credit points) per annum. International students will be subject to a variable fee regime; i.e. enrolled students will be required to pay fees during their program based on the approved fee for each calendar year. Fee changes (if any) will occur at 1 January each calendar year. Students who extend their program past the normal finish date of the program will be required to pay additional fees based on the prevailing fee level. Western Sydney University is a multi-campus institution. The University reserves the right to alter the location of its programs between campuses and other locations as necessary. Students should be aware of the possibility of change of location for the whole or part of programs for which they enrol and should plan for the need to travel between Western Sydney campuses.