A Bachelor degree, or
An overseas qualification from a recognised university or tertiary institution that is equivalent to a Bachelor degree, or
A Graduate Diploma from a recognised tertiary institution or university.
IELTS (Academic version): 6.5 overall score, minimum 6.0 in each subtest
TOEFL internet-based score :Total score 82, Writing 21, Speaking 18, Reading 13, Listening 13
Pearson Test of English Academic (PTE): 58 overall; No communication skills less than 50
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.
CRICOS Code: 106434D
More info: click here
Full-time
Year 1
AUTUMN SESSION
Neuromorphic Electronics Design
Mathematics of Signal Processing
Introduction to Neuroscience
Programming for Data Science
Students may exit with a Graduate Certificate in Neuromorphic Engineering at this point. 1
Credit Points, 40
SPRING SESSION
Neuromorphic Accelerators
Neuromorphic Algorithms and Computation
Neuromorphic Sensing
Advanced Machine Learning
Students may exit with a Graduate Diploma in Neuromorphic Engineering at this point. 2
Credit Points, 40
Year 2
Applied Project in Neuromorphic Engineering, 40
Note: Students who have met minimum 6.0 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).
Credit Points
Total Credit Points, 120
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
OSHC: 629 ($) per year
