CSStipendRankings (https://csstipendrankings.org) is a stipend-based ranking of top-paying computer science departments in the United States, inspired by CSRankings. We may expand to include other countries in the future, and we welcome your contributions!
We hope you find CSStipendRankings useful towards getting your institution to pay a living wage.
First of all, thank you for your interest in contributing to CSStipendRankings! We welcome contributions from everyone. Please take a moment to review this document in order to make the contribution process easy and effective for everyone involved.
The fastest way to add or update the data is by editing stipend-us.csv and submit a pull request. The stipend data are stored as rows in stipend-us.csv in the format of
"<Institution Name (Optional Notes)>", <Annual Stipend Amount (Pre-Qualification) ($)>, <Annual Stipend Amount (Post-Qualification) ($)>,<Annual Local Living Wage ($)>, <Annual Out-of-pocket Fees Charged by University ($)>, <Summer Funding Guarantee>
Please quote the institution name with " if the name contains , in it (e.g., "University of Michigan, Ann Arbor"). All stipend and cost listed should be for 12 months. Annual stipend amount is the guaranteed minimal amount, pre-tax, for most students (including international students), without considering additional income source (e.g., from internship).
-
To add a new institution, please add a new row to the
stipend-us.csv; to update the an existing institution, please update the corresponding row in thestipend-us.csvaccordingly. -
For the annual local living wage, please refer to the MIT Living Wage Calculator and use the number in
Typical Expenses -> Required annual income before taxes -> 1 Adult & 0 Childrenas the annual local living wage. -
Submit a pull request with your updates. In the pull request, please mention the source of the stipend data (e.g., your own data point, a link to an official website, etc.) and add a link to the MIT Living Wage Calculator. We will review your pull request and merge it if everything looks good.
Alternatively, you can also submit this Google Form or create an issue with the above information and we will add the data for you.
This project is a community effort, and we welcome improvements through pull requests. Before submitting a pull request, please first preview your changes locally by running
python3 -m http.server
in the root directory of this repository and then open http://localhost:8000 in your browser.
The code and data in this repository is licensed under the Attribution-NonCommercial-NoDerivatives license. See LICENSE for details.