COURSE CURRICULUM

The Master of Neuromorphic Engineering at Western Sydney University is a 160-credit-point postgraduate program that combines advanced coursework, interdisciplinary learning, and research or industry-based project experience. The curriculum is designed to develop expertise in brain-inspired computing systems by integrating concepts from neuroscience, electrical engineering, computer science, and applied mathematics. In the early stage of the program, students build foundational knowledge in neuromorphic systems, including topics such as neuromorphic electronics, neural computation principles, signal processing, programming for data-driven systems, and the fundamentals of brain-inspired architectures. These subjects help students understand how biological neural processes can be translated into computational models and hardware systems. As the program progresses, students study advanced topics such as neuromorphic algorithms, sensory and perception systems, low-power computing architectures, and machine learning applications designed for edge and intelligent systems. A significant component of the degree involves a research or industry-linked project, often conducted in collaboration with the International Centre for Neuromorphic Systems, where students apply theoretical knowledge to real-world challenges in artificial intelligence, robotics, and intelligent sensing technologies. The program emphasizes hands-on learning, innovation, and experimentation, enabling students to develop strong analytical and problem-solving skills. Overall, the curriculum prepares graduates for careers in advanced computing, AI research, robotics, and next-generation intelligent systems development.