Master of Applied Neuromorphic Engineering
- Effective from: 2022
- Approved Abbreviation: MAppNeuroEng
- Western Sydney University Program Code: 8124
- AQF Level: 9
CRICOS Code: 106434D
This program applies to students who commenced in 2022 or later.
Neuromorphic Engineering is an exciting inter-disciplinary field combining aspects from electrical engineering, computer science, neuroscience, signal processing and mathematics. The Master of 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. 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.
All students will enrol in the 8124 Master of Applied Neuromorphic Engineering and have the option to transition to 8123 Master of Neuromorphic Engineering at the end of their first year. 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 coursework subjects will be undertaken at Parramatta City - Hassall St campus, while the applied project and research project will be located at Penrith campus.
One and a half years full-time or three years part-time. Students may be required to travel between campuses to complete their subjects.
Prospective students should visit the following websites for general enquiries about this program.
|Parramatta City Campus - Macquarie Street||Full Time||Internal||See above|
|Penrith campus||Full Time||Internal||See above|
Admission to the program requires:
- An undergraduate degree in electrical, electronics, or biomedical engineering or computer science; and
- A one-page statement of purpose showcasing solid achievements behind you that show promise for your success in graduate study.
- Be selected by interview from the International Centre for Neuromorphic Systems (ICNS) within The MARCS Institute.
Applicants who meet the academic requirement will be invited to an interview to discuss previous experience and suitability for the program.
Qualification for this award requires the successful completion of 120 credit points as per the recommended structure below.
|Autumn session||Credit Points|
|ELEC 6004||Neuromorphic Electronics Design||10|
|MATH 7019||Mathematics of Signal Processing||10|
|NATS 6001||Introduction to Neuroscience||10|
|COMP 7024||Programming for Data Science||10|
|Students may exit with a Graduate Certificate in Neuromorphic Engineering at this point. 1|
|ELEC 6003||Neuromorphic Accelerators||10|
|COMP 6001||Neuromorphic Algorithms and Computation||10|
|COMP 6002||Neuromorphic Sensing||10|
|INFO 7001||Advanced Machine Learning||10|
|Students may exit with a Graduate Diploma in Neuromorphic Engineering at this point. 2|
|ELEC 6001||Applied Project in Neuromorphic Engineering||40|
|Note: From 2023, students who have met minimum 4.5 GPA requirements for 8123 Master of Neuromorphic Engineering will be able to transfer to this program and complete the subject ELEC 6002 Master Dissertation in Neuromorphic Engineering (80 credit points) instead of subject ELEC 6001 Applied Project in Neuromorphic Engineering (40 credit points).|
|Total Credit Points||120|