Required courses
- EEC 244 Introduction to Neuroengineering (4 units)
- BIM/NSC 295 Literature in Neuroengineering (2 units) [Journal Club, offered annually in the Fall quarter]
- Neuroengineering & Medicine Seminar Series (2 x 1 unit) [Posted under Events; offered every quarter; each student will sign up for 298 Group Study units with the DE-NE Chair and submit a critical review of the seminars at the end of the quarter to the Chair]
- One additional graduate-level course to be scheduled in consultation with the student's DE Graduate Advisor and the Major Professor. This course may be from the list of elective courses.
Elective courses
Representative courses the students can take to satisfy the 4-unit elective requirement:
- EEC/EMS/ECH/MAE 245 – Micro-/Nano-Technology in Life Sciences (4 units)
- EEC 243 – Optical Imaging and Microscopy (4 units)
- BIM 248 – Multi-Modal Neuroimaging Techniques for Brain Health (4 units)
- BIM 280 – Neural Signals & Machine Learning Tools for Neural Data (4 units)
- BIM 228 – Skeletal Muscle Mechanics: Form, Function, Adaptability (4 units)
- MAE 252 – Information Processing for Autonomous Robotics (4 units)
- MAE 272 – Theory and Design of Control Systems (4 units)
- MAE 298 – Introduction to Neural-Machine-Interfaces and Assisted Human
Movement (4 units) [Conversion to permanent course pending] - NSC 223/ PSC 261 – Cognitive Neuroscience (4 units)
- NSC 271C – Translational Approaches to Learning, Memory, and Plasticity
Disorders (4 units) - ECS 270 – Artificial Intelligence (4 units)
- ECS 271 – Machine Learning & Discovery (4 units)
- PSC 208A – Fundamentals of Human Electrophysiology (4 units)
- PSC 263 – The Cognitive Neuroscience of Aging and Memory (4 units)
- STA 208 – Statistical Methods in Machine Learning (4 units)
- STA 209 – Optimization for Big Data Analytics (4 units)
Qualifying examination
Dissertation requirements
Degree conferral process