SAS University Edition (Faculty)

Professors and teachers, SAS® University Edition has a lot to offer!

  • Free SAS software to use in statistics and quantitative methods classes in a variety of areas: economics, psychology and other social sciences, computer science, business, medical/health sciences, engineering, etc. For academic, noncommercial use only.
  • Statistical software that students can either download or launch in the cloud via Amazon Web Services (AWS). It's easy to get and easy to use, so traditional barriers to students are a thing of the past.
  • An online community for SAS academic users where you can interact, get support, share information, access SAS resources, etc.
  • Software and resources for developing students' analytical knowledge to fill the analytic skills gap in tomorrow's problem solvers and decision makers.

Powerful statistical software

SAS University Edition includes SAS Studio, Base SAS, SAS/STAT, SAS/IML, SAS/ACCESS and several time series forecasting procedures from SAS/ETS. It's the same world-class analytics software used by more than 83,000 business, government and university sites around the world, including 94 of the top 100 companies on the Fortune Global 500®. That means you'll be using the most up-to-date statistical and quantitative methods.

Easy to access. Easy to use.

You can download and install the software yourself. There's no need to go through convoluted channels for software distribution. And a web-based development interface makes writing and submitting code easy (no, really!).

Be part of a great community.

Access to the world's best advanced statistical analysis software is only the beginning. You also get access to the online, interactive SAS Analytics U community. There, you'll find valuable resources for teaching and learning SAS. You can connect with fellow SAS users to ask questions, share ideas and best practices, collaborate on projects, and get peer support. There are also great tutorials and other ways to interact with users through social media channels to help you stay connected and in the know.

Features

  • An intuitive interface lets you interact with the software from your PC, Mac or Linux workstation. You can also use JupyterLab as the interface.
  • A powerful programming language is easy to learn, easy to use.
  • Comprehensive, reliable tools include state-of-the-art statistical methods.
  • A robust, yet flexible matrix programming language enables more in-depth, specialized analysis and exploration.
  • Several time series forecasting procedures – TIMEDATA, TIMESERIES, ARIMA, ESM, UCM and TIMEID – are included from SAS/ETS.
  • Out-of-the-box access to PC file formats provide a simplified approach to accessing data.
  • Also available via Amazon Web Services, so if you'd prefer to run the software in the cloud, rather than download it locally, you can get SAS University Edition for free from AWS Marketplace (AWS usage fees may apply).

SAS University Edition (Faculty)


Windows

·         Microsoft Windows version 7, 8, 8.1 or 10

·         64-bit hardware with a minimum of 1GB of RAM

·         One of the following virtualization software packages:

·         VMware Player 7 or later

·         Oracle VirtualBox 4.3.16 or later

·         One of the following web browsers:

o   Microsoft Internet Explorer 9, 10 or 11

o   Mozilla Firefox 21 or later

o   Google Chrome 27 or later

 macOS X

·         Mac OS X 10.8 or later

·         64-bit hardware with a minimum of 1GB of RAM

·         One of the following virtualization software packages:

·         VMware Fusion for OS X 7 or later

·         Oracle VirtualBox 4.3.16 or later

·         One of the following web browsers:

o   Apple Safari 6.0 or later

o   Mozilla Firefox 21 or later

o   Google Chrome 27 or later

Linux

·         Linux operating environment

·         x86-64 hardware with a minimum of 1GB of RAM

·         One of the following virtualization software packages:

·         VMware Player for Linux 7 or later

·         Oracle VirtualBox 4.3.16 or later

·         One of the following web browsers:

o   Mozilla Firefox 21 or later

o   Google Chrome 27 or later

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