Quantitative Methods in the Social Sciences
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On October 26th, the QMSS Peer Mentor Team hosted a roundtable event with all the Graduate Student Instructors from the QMSS courses.
Hannah Kraus is the GSI for QMSS 201: Introduction to Quantitative Methods in the Social Sciences in Winter 2021 and Fall 2021.
What is Quantitative Methods in the Social Sciences?
Do credit card algorithms have gender bias? What can satellite images tell us about election results? Do “night owls” process information differently?
Big data offers exciting opportunities to explore these types of questions, but an understanding of social science is critical to translate numbers into actionable insights. Quantitative Methods in the Social Science (QMSS) combines data science with social science to prepare students to solve problems, shape policies, and explain a complex world. This new minor covers a variety of disciplines within the social sciences, pursuing different questions and applying a range of methods.
Interested undergraduate students are encouraged to pursue a QMSS minor regardless of math proficiency. While the courses are rigorous, faculty are prepared to meet you where you are. Training, tutoring, and resources are available to get you up to speed. Also, keep in mind that the quant work is only part of QMSS — our ultimate emphasis will be on the social science interpretation and understanding data as expressions of human behavior.
QMSS Minor No Longer Requires a Social Science Major!
The QMSS curriculum has been updated and is now accessible to students from all majors. Read more about the QMSS minor's courses here.
We strive to support our students and faculty on the front lines of learning and research and to steward our planet, our community, our campus. To do this, the QMSS program needs your support.