Introduction to RCC for MSc in Analytics
As a student in the Master of Science in Analytics (MScA) Program, you will be able to make use of The University of Chicago’s Research Computing Center (RCC) resources in completing your capstone project. Some courses in the program will also make use of RCC resources.
RCC provides high-end research computing resources to researchers at the University of Chicago. These resources include centrally managed high-performance computing, storage, and visualization hardware, software, scientific and technical user support, as well as education and training opportunities to help researchers effectively make use of modern HPC technology. To learn more about RCC, see https://rcc.uchicago.edu.
Below are the basics you will need to know in order to get up and running at RCC. For complete RCC technical documentation, see the main sections of this user guide.
RCC support staff is available to assist with technical issues (help logging in, questions about using the cluster, etc). Please don’t hesitate to ask questions if you encounter any technical issues.
The preferred way of requesting support is to contact our Help Desk.
RCC’s walk-in lab is open during business hours and is located in Regenstein Library room 216. Feel free to drop by to chat with one of our staff members if you get stuck.
Logging into Midway
For the most complete documentation regarding connecting to RCC resources see: Connecting to Midway.
See Running Jobs on Midway for detailed documentation on how to run your own programs on the cluster once you've connected.
Many commonly used software packages and libraries have been installed on Midway for your use. For an overview of how to use Software Modules on Midway, consult the RCC Software documentation page.
SAS Studio is available to MScA students. SAS Studio is a web application frontend to SAS. To access SAS Studio, visit this link and log in with your CNetID and password:
Also, an instance of SAS Enterprise Miner is available to MScA students. To access SAS Enterprise Miner, you can visit this link:
SAS software is also available on Midway. To load the SAS software module, use the command
module load sas. It is recommended to use ThinLinc as described above to login to Midway if you want to use SAS in this manner.
The MScA program has obtained a subset of the Nielsen Homescan data for use in teaching and research projects. Access to this data is controlled by MScA administration. If you require access to this data, please consult your instructor or the MScA director and request that you be approved for access to the data.
Once your user account has been approved for access to the Nielsen data, you will be able to access the data in the directory
/project/msca/data/nielsen/ on Midway.