Murty Sunak Quantitative and Computing Lab
Claremont McKenna College
The Murty Sunak Quantitative and Computing Lab (QCL) provides specialized support for senior thesis and capstone projects across all disciplines. Our goal is to help students incorporate quantitative reasoning, data analysis, and computational tools into their academic research.
Whether you are analyzing economic data, running regressions in R, creating visualizations in Python, or exploring text data in the humanities, the QCL offers the guidance and resources to support your work from start to finish.
Students can meet one-on-one with QCL directors, graduate fellows, or trained peer mentors for:
- Project planning and methodology development
- Guidance on quantitative tools, languages, and software
- Help with interpreting data and presenting findings
- Debugging code or working through analytical challenges
The QCL can assist with:
- Identifying and sourcing relevant datasets
- Using tools such as Stata, R, Python, and MATLAB
- Accessing high-performance computing resources for large-scale analyses
- Building reproducible workflows for academic research
Leading up to and during capstone season, the QCL offers targeted workshops on:
- Statistical techniques and modeling
- Programming basics and advanced topics
- Data visualization and storytelling
- Best practices for research documentation
To schedule a consultation or learn more about our capstone support services, contact us at:
Email: qcl@cmc.edu
Phone: (909) 607-3666
Or visit us in person:
Kravis Center, Lower Court 26
Claremont McKenna College
Empowering students to apply data and computation in meaningful, impactful ways.