Gain a fundamental and applied understanding of brain signals and systems and machine learning schemes in the rapidly growing field of neural big-data research. This program includes the study of concepts related to the modeling of electrical circuits in the brain. Gain expertise in understanding the fundamentals of signals, systems and machine learning tools for “reverse engineering the brain” and for the design of neural prostheses and brain machine interfaces.
What is it?
The Graduate Certificate in Neural Engineering – Signals, Systems & Machine Learning is a 12 credit-hour stand-alone certificate. It consists of 6 required credit hours and 6 hours of support courses.
Why pursue it?
Understanding the brain is one of the top challenges for research in our time. This certificate will prepare engineering students to work in neuroscience-related careers, both in industry and academia. The certificate is ideal for current graduate students seeking opportunities in neuroscience and neural engineering research.
Requirements: 12 completed hours
Current Mizzou students should complete a Graduate Certificate Plan of Study Form.
Non-Mizzou students may apply through the Graduate School.