Computational and Systems Neuroscience
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.
Degree Program
Highlights:
Designed for students interested in understanding the brain through data-driven, mathematical, computational, and systems-level approaches
Combines neuroscience with computer science, mathematics, statistics, engineering, and data analysis
Students learn how the brain processes information, controls behavior, and generates cognition
Strong fit for students interested in artificial intelligence, machine learning, neural engineering, brain-computer interfaces, human-computer interaction, data science, or biomedical technology
Prepares students for research, graduate school, data science, AI development, biomedical technology, and related quantitative careers