Quantitative Methods in the Social Sciences
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Hannah Kraus is the GSI for QMSS 201: Introduction to Quantitative Methods in the Social Sciences in Winter 2021 and Fall 2021.
Virtual Festifall presents another learning opportunity for QMSS-interested students
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 will cover 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.
Putting Methods to the Madness, a New QMSS Student Blog!
The QMSS mission is to equip and empower undergraduate students to tackle today’s pressing issues. Students must, therefore, engage with contemporary topics in their respective fields and explore the value within data. Our student-run blog grants writers the space to build from the themes and subjects within their QMSS courses and investigate their relevance today.