You will not receive the activation code until you have completed and submitted the form. If you are using a MUCR for payment, please contact your designated contact at Grants, Contracts and Accounting (GCA) prior to submitting your billing information. You must provide a UDAK for billing that will allow the Chart of Account 50349 (computer software purchase). GraphPad Prism was originally designed for experimental biologists in medical schools and drug companies, especially those in pharmacology and. Please complete the contact/billing information on the GraphPad License Activation Form and contact directly to acquire the activation code. ITS has entered into a bulk licensing agreement with GraphPad, making Prism 6 software available at no charge to Yale faculty, students, and staff who have data analysis and presentation needs. The activation code needed to register your version(s) will be mailed to You must enter as part of the installation process. After the installation of Prism, you will be asked to register the software. Please enter the appropriate license key (below) during the installation process. It was instituted to reduce the cost from the $125/license/year to the current, annually renewing rate of $70 for each computer you install it on. The GraphPad Prism software is a site license which is acquired by a collaboration among the MUSC Academic Colleges and Business Services. This version has the full capabilities of Prism, so you can open and work on your saved Prism files. A single click sends completed graphs or layouts. Prism takes you from raw data to a graph (or layout) ready for presentations, posters or publications. Before you buy a license, or if you need one immediately while you arrange payment: you can download a free 30-day trial of Prism from their website. Autodesk Suite students only 12 months Graphpad Prism All staff and students 30 days after installation MatLab Students No expiry - must be uninstalled. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.
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