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Hurst Hall Room 202

Mon - Thur: 9:30 am - 8:30 pm
Fri: 9:30 am - 7 pm
Sat: Noon - 7 pm
Sun: Closed

4400 Massachusetts Avenue NW
Washington, DC 20016


SAS is multifunctional statistical software for advanced analytics, business intelligence, data management and predictive analytics. SAS is well suited for work with very big datasets.

Campus Availability | Installation Option | Support | Workshops | Resources


Where can I use SAS on Campus?

If you want staff on hand to assist you with SAS, visit the CTRL lab during our regular hours. If you have a complex problem, please contact us by phone (202-885-3862) or email to set-up an appointment, otherwise, just drop in!   

SAS can be accessed in the following campus computer labs: 

  • CTRL lab
  • Anderson Computing Cluster
  • Kreeger
  • SPA lab

How can I get SAS on my computer?

SAS is available for access by any member of the AU community through the Virtual Computing Lab (VCL). More information on VCL.

SAS is available for free installation on any AU owned computers. Please contact us by phone (202-885-3862) or email to request an installation.

How can I get support using SAS for research or for class?

  • One-on-one assistance (drop-in during regular hours, or schedule an appointment
  • In-Class Tutorials (standard or custom tailored, request here)

If you have extremely large data sets, SAS can be configured to access the storage space (but not the computing power) of AU's High Performance Cluster. For more information about this option, contact us at   

What Workshops do you offer?

CTRL Lab offers a variety of workshops each semester to train members of the AU community in the software that it supports. Examples of workshops we have offered in the past can be seen below, and you can follow the link to view our current schedule. If you are interested receiving training that is not listed in our regular workshop schedule, please contact us by email to request an appointment.

Introduction to SAS: Covers basic SAS interface, importing data, descriptive statistics, variable transformation, graphs, bivariate, and simple linear regression analyses.

Intermediate SAS: Covers creating dummy variables; formatting and recoding variables; visualizing data such as univariate, pie and bar graphs; and performing bivariate, simple regression, and multiple regression analyses.

Advanced SAS, Data Cleaning: Covers excerpts from "Cody's Data Cleaning Techniques using SAS" book such as managing data (invalid inputs, outliers, formats, etc…), looking at descriptive statistics, writing basic macro-functions, and merging datasets.

View schedule of workshops

If you want to take a workshop that is not on our schedule, contact us, and we can arrange a one-on-one session.

Registration information

What Resources can I access online?

Introduction to SAS (handout, data, code)

Intermediate SAS (handout, data, code)

Advanced SAS, Data Cleaning handout, data, code)

Ron Cody: "Cody's Data Cleaning Techniques using SAS"

SAS Support Communities

Online SAS Resources from UCLA's Institute for Digital Research and Education (IDRE)

CTRL Lab Info

Fall & Spring Hours:
Mon - Thur: 9:30 am - 8:30 pm
Fri: 9:30 am - 7 pm
Sat: 12 pm - 7 pm
Sun: Closed

Summer & Winter Break Hours:
Mon - Fri: 9:30 am - 5:30 pm
Sat - Sun: Closed

Hurst Hall, Room 202

More Info

Contact a Consultant

For help with CTRL supported activities, visit the lab during business hours, call 202-885-3862, email For people who are traveling, we can arrange for support via Skype - contact us for more information.

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