Master of Science in Neuroscience - Computational Neuroscience

Students with a focus in computational neuroscience will work in close collaboration with faculty on multidisciplinary research projects combining experimental and computational strategies. Computational neuroscience complements experimental studies in neuroscience by providing important tools to derive new hypotheses, guide experiments to test them, and provide insight into underlying mechanisms. Computational modeling is an indispensable tool to structure and interpret the data and to ultimately infer underlying neuronal processes and functions of neural circuits and ultimately behavior.

Official transcripts must be sent directly to Drexel from all of the colleges and universities that you have attended Please note that transcripts are required regardless of number of credits taken or if the credits were transferred to another school An admission decision may be delayed if you do not send transcripts from all colleges and universities that you have attendedTranscripts must show coursebycourse grades and degree conferrals If your school does not notate degree conferrals on the official transcripts you must provide copies of any graduate or degree certificatesStandardized Test ScoresGRE test scores are not requiredTest of English as a Foreign Language Although requirements vary by program regular admission typically requires a minimum cumulative grade point average of 3.0 B for undergraduate work The average for any graduate work must be at least 3.0 Applicants for post-master\u2019s status must show potential for further study by having maintained at least a 3.0 average in their masters-level studies Individual departmental requirements may exceed these minimums.