The digital information revolution impacts how we gather and assemble information, formulate questions, reach conclusions, and develop new insights. Accurate data collection, analysis, and presentation has never been more important for making decisions, formulating policy, and seeking to understand the world around us.

At the same time, new computer-intensive approaches for analyzing data have expanded our ability to process and gain insights from the deluge of information now available. Learning to harness this data in meaningful ways is a vital skill in the 21st century.

The Quantitative Analysis Center (QAC) is a collaborative effort of academic and administrative departments. It coordinates support for quantitative analysis across the curriculum and provides an institutional framework for collaboration across departments and disciplines in data analysis.

The QAC strives to provide practical training in quantitative methods and statistical computing that complement and enhance students' learning in their primary area of study, across all departments.

Courses have an applied focus, are project-based, and often offer the opportunity to work in teams. Courses go beyond skill-building to incorporate conceptual learning and an understanding of practical and ethical issues. The QAC also provides opportunities for students to expand their education by working on to real world problems outside of traditional classroom settings. These opportunities include internships, practicums, workshops, and flipped classrooms. Data labs offer students analytic experiences solving real world issues under the mentorship of experience faculty. Please visit the relevant links to learn more.

The QAC also provides support for faculty research through statistical consulting, research assistant training, customized workshops, and small grants for student apprenticeships. Interested faculty are encouraged to contact us.