Computational Neuroscience Approved Courses

Approved Courses

Students must complete nine credit hours of approved courses to earn the Computational Neuroscience Certificate. Please email if you would like to use a course that is not listed here.

Core Computational Neuroscience Courses

Students are required to take at least one of the following courses.


Number Title Instructor Frequency
BME 517 Neural Engineering Cindy Chestek Every winter semester
Math 568 / BIOINF 568 Computational and Mathematical Neuroscience Victoria Booth Every fall semester
PSYCH 733 Advanced Neural Circuits Omar Ahmed Every winter semester

Cross Discipline Courses (3 credit-hours required)

The following are quantitative courses that are appropriate for students in experimental science programs who have prior mathematical training at the Calculus II level.

Number Title
MATH 417 Matrix Algebra I
BIOINF 501 Mathematical Foundations for Bioinformatics
BIOPHYS 430 Medical Physics
EECS 402 Programming for Scientists and Engineers
HS650 Data Science and Predictive Analytics

The following are neuroscience courses appropriate for students in quantitative science programs who have limited prior training in biology

Number Title
MCCDB 403 Molecular and Cell Biology of the Synapse
MCDB 422 Brain Development, Plasticity and Circuits
MCDB 453 Ion Channels
PHYSIOL 592 Integrated Neuroscience
PSYCH 454 Developmental Neuroscience
PSYCH 644 Computational Modeling of Cognition
NEUROSCI 470** Human Neuroanatomy
NEUROSCI 570/571 Human Neuroanatomy
NEUROSCI 611 (1 credit) Neuropharmacology
NEUROSCI 612 (1 credit) Neural Development
NEUROSCI614 (1 credit) Sensory Systems
NEUROSCI 615 (1 credit) Behavioral and Cognitive Neuroscience
NEUROSCI 616 (1 credit) Clinical and Translational Neuroscience

** The 400 level Human Neuroanatomy course does not have graduate standing. However, students may request Rackham OARD to receive graduate credit for a 400-level course not normally approved for such credit, but should do so before taking the course since approval is not guaranteed. Both the instructor and the graduate chair of the student’s program must endorse the request, which must be accompanied by a memo explaining how graduate-level work will be accomplished in the course. The Registration Adjustment Request forms are available online (see

Advanced Course Requirement

There are many appropriate quantitative science and neuroscience courses to fulfill this requirement. The program director will work with students to identify appropriate courses for their interests and training needs. Below are some examples:


Quantitative Science Advanced Courses

Number Title
BIOPHYS 430 Medical Physics
EECS 545 Machine Learning
MATH 563 Advanced Mathematical Methods for the Biological Sciences
MATH 571/572 Numerical Methods for Scientific Computing I/II
NERS 590 Methods and Practice of Scientific Computing
STATS 531 Analysis of Time Series

Neuroscience Advanced Courses

Number Title
BME/PSYCH 840 Introduction to functional MRI
PHYSIOL 577 Membrane and Cell Physiology
PSYCH 644 Computational Modeling of Cognition
PSYCH 743 Human Learning and Memory
HG 580/480 Neurobiology of Developmental Disorders
KINESLGY 533 Neuromechanics

Mark your calendar for the MICDE SciFM 2024 Conference on April 2nd & 3rd, 2024!