Masters (Coursework)
Neuromorphic Engineering is an exciting inter-disciplinary field combining aspects from electrical engineering, computer science, neuroscience, signal processing and mathematics.
As an engineering graduate, you can look forward to career opportunities in:
The broad area of Artificial Intelligence relates to the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, and other forms of intelligent decision-making.
Robotics and mechatronics is where computer and electrical engineering meet, employing computer control systems to make devices smarter and more efficient. As a robotics and mechatronics engineer you could create extraordinary systems such as planetary exploration rovers or robots for precision manufacturing or to assist the elderly.
Computational neuroscience is the field of study in which mathematical tools and theories are used to investigate brain function. It can also incorporate diverse approaches from electrical engineering, computer science and physics in order to understand how the nervous system processes information.
Electronics engineering utilizes nonlinear and active electrical components, such as semiconductor devices, especially transistors and diodes, to design integrated circuits and their systems. Large-scale adaptive analog systems such as neuromorphic devices are more robust to component degradation and failure than are more conventional systems, and they use far less power.
Applies knowledge and methodology of physics, engineering, mathematics, computing, physical chemistry and materials science to problems in biology and the treatment and prevention of human disease
Signal processing in a wide variety of industries focus on analysing, modifying, and synthesizing digital or analog signals -- to improve transmission, storage efficiency, subjective quality and to also emphasize or detect components of interest in a measured signal.