Students are expected to fulfill the following requirements:

1. Courses

Biophysics 1 (277000) or equivalent
Neuroscience (277001, 276203) or equivalent
Biophysics and Neurophysiology for Engineers (276010)

Core courses
Learning, Memory and Behavior in Animal Models and Humans (278484; 3 credit points)
Methods in Neuroscience (338536; 2.5 credit points)
Practical Experience in Neuroscience Research (278307; 2+2 credit points)
Brain-Behavior Seminar (278014 + 278016; 1+1 credit points)
Topics in Excitable Systems: Neural Adaptation (278430; 3 credit points)
Biological Neural Networks (049041; 2 credit points)

Elective courses
The graduate course program will be determined for each student according to his or her background and personal interests. Students are encouraged to participate in some of the courses listed below:

Introduction to Biophysics (116029, 3.5 credit points)
Biophysics of the Cell (116321, 3 credit points)
Introduction to Random Signal Processes (046201, 3 credit points)
Analysis of Biological Signals (336208, 3 credit points)
Biological Neural Networks: Computation (046041, 3 credit points)
Visual and Auditory Systems (046332, 3 credit points)
Machine Learning (046195, 3 credit points)
Introduction to Biological Signals & Systems (046326, 3 credit points)
Introduction to Sensory Systems (277006, 2 credit points)
Dynamical Systems in Life Science (058182, 3 credit points)
Introduction to integrated sensory systems (035033, 3 credit points)
Neural Networks for control and diagnostics (036049, 2.5 credit points)
Selected Topics in Applied Mathematics 1-4 (197008/9/10/11, one of these classes is on the topic of mathematics of physiology)

Other courses for fulfillment of requirements for M.Sc./Ph.D. will be selected from the general list of graduate courses.

2. Thesis

Prospective graduate students are encouraged to approach a faculty member whose research topics and methodologies are appropriate for the student’s background and interests.