Master of Neuromorphic Engineering
Master of Neuromorphic Engineering
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…
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COURSE DESCRIPTION
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.
Students eligible to transition from 8124 Master of Applied Neuromorphic Engineering to 8123 Master of Neuromorphic Engineering are to undertake ELEC 6002 after the end of their first year while meeting the GPA 4.5 transition criteria.
High-achieving students will selectively enrol in the full-time 8123 M Neuromorphic Engineering. 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 Werrington South – Kingswood campus, except for COMP 7024 Programming for Data science and INFO 7001 Advanced Machine Learning subjects.
REQUIREMENTS
An applicant must either hold: 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.
English Language Requirements:
IELTS: 6.5 overall score (min 6.0 in each subtest); TOEFL internet-based score of 82: Writing 21, Speaking 18, Reading 13, Listening 13; Pearson Test of English Academic (PTE): 58 overall; No communication skills less than 50.
EDUCATIONAL INSTITUTION
Western Sydney University is located in New South Wales and operates out of 13 accessible campuses across Sydney (Bankstown, Liverpool City, Campbelltown, Sydney City, Sydney Olympic Park, Parramatta, Parramatta City, Westmead, Penrith and Hawkesbury). The student body numbers more than 35,000. With a mix of modern high rise and heritage buildings, equipped with technology-enabled learning facilities, libraries, research facilities, and studios, the University covers a wide range of academic programs including the School of Business, School of Computer, Data and Mathematical Sciences, School of Education, School of Engineering, Design and Built Environment, School of Health Sciences, School of Humanities and Communication Arts, School of Law, School of Medicine, School of Nursing and Midwifery, School of Psychology, School of Science, School of Social Sciences and the Graduate Research School.
