CRICOS Code: 106435C

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 Neuromorphic Engineering and have the option to transition to 8123 Master of Neuromorphic Engineering (Research) 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.

Study Mode

Two years full-time. Students may be required to travel between campuses to complete their subjects. 

Program Advice

Bharath Ramesh

Prospective students should visit the following websites for general enquiries about this program.

Enquire about this program| Local Admission | International Admission |

Location 

Location

Campus	Attendance	Mode	Advice
Parramatta City Campus - Macquarie Street	Full Time	Internal	See above
Penrith campus	Full Time	Internal	See above

Recommend Sequence

Qualification for this award requires the successful completion of 160 credit points as per the recommended structure below.

Full-time

Plan of Study Grid

Year 1
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
	Credit Points	40
Spring session
ELEC 6003	Neuromorphic Accelerators	10
COMP 6001	Neuromorphic Algorithms and Computation	10
COMP 6002	Neuromorphic Sensing	10
INFO 7001	Advanced Machine Learning	10
	Credit Points	40
Year 2
Autumn session
ELEC 6002	Master Dissertation in Neuromorphic Engineering	40
	Credit Points	40
Spring session
ELEC 6002	Master Dissertation in Neuromorphic Engineering	40
	Credit Points	40
	Total Credit Points	160