The QAC offers courses on quantitative methods, from data collection and cleaning, data exploration and visualization, model building and prediction, to the communication of results. Courses incorporate training on a wide variety of platforms and computing environments, including R, Stata, SAS, Excel, GIS, and SQL. High performance computing (HPC) is available for computationally intensive methods and data processing at scale. Courses are applied, project-based and employ real world data.

Tutoring sessions and drop-in help for quantitative analysis and statistical computing are available six days a week.

An intensive summer apprenticeship offers students an intensive training experience in quantitative methods and statistical computing, while they work on faculty sponsored research.

A Data Science Minor and Applied Data Science Certificate offer students an opportunity to develop and document their growing quantitative skills.

QAC faculty are also available to consult with students on research projects, theses, and dissertations. Students can request help through the consultation request form.

Faculty sponsored summer research apprentices receive intensive quantitative training along with time and support for their research roles.

QAC faculty are available for research, statistical and computing consultation. We can also create and deliver custom workshops on quantitative topics. Interested faculty are encouraged to contact us via the consultation request form.