U-M approves graduate certificate in computational neuroscience

By | December 3, 2018
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illustration of brain with interconnecting pathways

(MICDE)

The new Graduate Certificate in Computational Neuroscience will help bridge the gap between experimentally focused studies and quantitative modeling and analysis, giving graduate students a chance to broaden their skill sets in the diversifying field of brain science.

“The broad, practical training provided in this certificate program will help prepare both quantitatively focused and lab-based students for the increasingly cross-disciplinary job market in neuroscience,” said Victoria Booth, professor of mathematics and associate professor of anesthesiology, who will oversee the program.

To earn the certificate, students will be required to take core computational neuroscience courses and cross-disciplinary courses outside of their home departments, participate in a specialized interdisciplinary journal club, and complete a practicum.