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The Program in Quantitative and Computational Neuroscience (QCN) is a special track within the Certificate in Neuroscience. It is designed for undergraduates who wish to pursue a quantitative approach to the study of brain function.

As is the case with the Program in Neuroscience certificate, graduates of the QCN track will be prepared to meet the entry requirements of graduate schools in neuroscience, as well as molecular biology or psychology; in addition, QCN students will have acquired quantitative data analysis, modeling, and programming skills.


Requirements for Admission

Please see the Requirements for Admission to the Certificate in Neuroscience.

Perks

Students in the QCN program will receive:
  • $4,000 as stipend to support summer research conducted at Princeton.
  • $1,350 as housing support during the summer.
  • $750 as support for travel to an appropriate scientific conference
  • $750 in research funds.


Program of Study

QCN students are expected to complete all the Program of Study requirements for a Certificate in Neuroscience.

In addition, QCN students must complete the following Laboratory course:

  • Mol 549 -- Laboratory in Neuroscience

As well as one of the two following computational courses:

  • Mol 437/537 -- Computational Neurobiology and Computing Networks.
  • Psy 330 -- Introduction to Connectionist Models: Bridging Between Brain and Mind
Finally, QCN students must conduct thesis research in quantitative and/or computational neuroscience  with one of the QCN core faculty as either a thesis advisor or co-advisor.