Summer Institute in Survey Research Techniques
Founded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.
With courses taught by leading experts in the field, the Summer Institute equips working professionals — from government agencies, academic institutions, non-profits, and the private sector — with the latest tools and techniques needed to design, conduct, and analyze high-quality studies. The program’s modular structure and diverse offerings allow participants to tailor their learning experience to their specific career goals and organizational needs. Whether you’re a professional researcher looking to sharpen your skills or a graduate student looking for methodology training, the Summer Institute delivers cutting edge education backed by excellence since 1948 — all from wherever you are located.
Why Attend the Summer Institute?
Led by internationally recognized experts, our remote courses combine state-of-the-art theory and practice, equipping you with tools that are both academically rigorous and immediately applicable in real-world settings. Engage directly with faculty in live sessions and receive personalized guidance throughout the program.
Our program serves a wide range of professionals and scholars — including those in public health, social work, business, law, medicine, nursing, education, and the natural and social sciences. Whether you’re advancing your academic research or supporting data-driven decisions in your field, you’ll find courses tailored to your interests.
While many courses build on basic statistical knowledge, we offer introductory classes to help prepare you for more advanced topics. Subjects include central tendency and dispersion, probability, correlation, significance testing, and analysis of variance — taught in a supportive, virtual format designed for learners at every level.