Computational and Systems Neuroscience Major

Computational and Systems Neuroscience is an interdisciplinary branch of Neuroscience that incorporates theoretical and experimental approaches to understand the brain. Students choosing this major will explore tools and techniques that Neuroscientists use to make sense of the vast data available in hope of finding solutions to neurological diseases and disorders as well as to understand processes such as decision-making, addiction, motivation, and more. Students in this major will also be able to explore exciting research areas in artificial intelligence and human-computer interactions. Typical computational Neuroscience students will develop a strong background in Mathematics and computer programing.

 

For Students Graduating in 2019

For Students Graduating in 2020 and later

(Note that NEUR 4544 is no longer being offered. Students may take NEUR 3234 or NEUR 3844 in lieu of NEUR4544 Synaptic Structure and Function)

For Students Graduating in 2021 and later

**Note that if you are graduating later than 2021, you should follow this plan until your year's graduation plan is available. Students who matriculated in Fall 2018 or later as first time freshmen should follow the pathways renditions of the checksheets.  All others (including external transfer students matriculating in 2018 and 2019) should follow the CLE renditions**