Master of Applied Neuromorphic Engineering

18 Months On Campus Masters Program

Western Sydney University Parramatta

Program Overview

The Master of Applied Neuromorphic Engineering at Western Sydney University is an interdisciplinary postgraduate program focused on emerging neuromorphic technologies that mimic aspects of biological nervous systems. It develops knowledge of neuromorphic hardware, sensors and algorithms while combining engineering, computing and neuroscience concepts. Students can undertake an applied industry project or research project mentored by researchers from the International Centre for Neuromorphic Systems.

Curriculum Structure:

Year 1: Develops foundational and advanced knowledge of neuromorphic engineering, including neuromorphic hardware, sensors, algorithms, bio-inspired sensory systems, edge computing and brain-inspired computational technologies. Students also develop interdisciplinary engineering and research skills.

Year 2: Builds advanced technical and professional capabilities through applied or research-based project work. Students apply neuromorphic technologies to real-world problems and develop solutions using advanced hardware, sensing, computation and intelligent systems.

Focus Areas: Neuromorphic engineering, artificial intelligence, neuromorphic hardware, sensors, algorithms, bio-inspired systems, edge computing, brain-inspired computing, robotics, signal processing and computational neuroscience.

Learning Outcomes: Graduates will be able to apply neuromorphic engineering principles, analyse and develop intelligent sensing and computing systems, work with emerging hardware and algorithms, solve interdisciplinary engineering problems, conduct applied research and communicate technical solutions effectively.

Professional Alignment (Accreditation): Professional accreditation is being pursued through Engineers Australia for the related Master of Neuromorphic Engineering pathway, with professional engineering practice requirements applying to the pathway toward Chartered Professional Engineer registration.

Reputation (Employability): The program provides access to high-tech facilities at Western Sydney University and opportunities to work with industry partners and leading researchers, preparing graduates for emerging roles across artificial intelligence, robotics, mechatronics, computational neuroscience, electronics, biomedical engineering and signal processing.

Experiential Learning (Research, Projects, Internships etc.)

At Western Sydney University, the Master of Applied Neuromorphic Engineering program is designed to provide students with hands-on experience that bridges the gap between theory and practice. This program emphasizes experiential learning, allowing you to develop practical skills through various innovative facilities and tools. You'll have access to state-of-the-art laboratories, cutting-edge software, and collaborative projects that prepare you for real-world challenges in the field of neuromorphic engineering.

Here are some key aspects of the experiential learning opportunities available in this program:

- Advanced Laboratories: Engage in research and development in specialized labs equipped with the latest technology in neuromorphic systems and artificial intelligence.
- Collaborative Projects: Work on group projects that simulate industry scenarios, fostering teamwork and problem-solving skills essential for your future career.
- Internship Opportunities: Gain valuable industry experience through internships with leading tech companies and research institutions, enhancing your employability.
- Software Tools: Utilize industry-standard software for simulation and modeling, such as MATLAB and Python, to analyze and design neuromorphic systems.
- Field Trips: Participate in field trips to tech companies and research facilities, providing insights into the practical applications of your studies.
- Research Institutes: Collaborate with renowned research institutes affiliated with the university, allowing you to contribute to groundbreaking projects in neuromorphic engineering.
- Access to Libraries: Benefit from extensive library resources, including access to journals, databases, and research materials specific to engineering and technology.

Progression & Future Opportunities

Graduating with a Master of Applied Neuromorphic Engineering from Western Sydney University opens up a world of exciting career opportunities. Graduates are well-prepared for roles such as Neuromorphic Engineer, Research Scientist, and AI Systems Developer, among others. This program equips you with the skills to innovate in fields like artificial intelligence and robotics, making you a valuable asset in a rapidly evolving job market.

Career Opportunities:
- University Services for Employment:
- Access to the Career Development Service, which offers personalized career advice, resume workshops, and interview preparation.
- Networking events and job fairs that connect students with industry leaders and potential employers.

- Employment Statistics and Salary Figures:
- Graduates from this program have a high employment rate, with many securing positions within six months of graduation.
- Average starting salaries for roles in this field can range from AUD 80,000 to AUD 120,000, depending on the position and experience.

- University–Industry Partnerships:
- Collaborations with leading tech companies and research institutions, providing students with real-world projects and internship opportunities.
- Partnerships with organizations like the Australian Research Council and various tech startups enhance practical learning experiences.

- Long-term Accreditation Value:
- The program is designed to meet industry standards and is recognized by professional bodies, ensuring that your qualification remains relevant and respected in the job market.

- Graduation Outcomes:
- Graduates are equipped with both theoretical knowledge and practical skills, making them competitive candidates for advanced roles in technology and engineering sectors.

Further Academic Progression:
After completing your Master of Applied Neuromorphic Engineering, you may choose to pursue a PhD in a related field, allowing you to engage in cutting-edge research and contribute to advancements in neuromorphic systems and artificial intelligence. This path not only deepens your expertise but also opens doors to academic positions and high-level research roles in both industry and academia.