Quantitative Social Science is a burgeoning interdisciplinary field that combines quantitative analysis skills with a variety of substantive social science disciplines. The quantitative social science program provides students across the social sciences with the core skills and tools required to conduct sophisticated quantitatively oriented social science research. Designed to accompany the substantive core courses of another social science AOC, this program of study emphasizes the practical methodological components of quantitative data analysis, including research design, applied statistics, programming, and mathematical foundations.
Quantitative Social Science is not just the study of how to do data analysis, but also the study of why data analysis should be done, what its possibilities are, and its limitations. Students who study quantitative social science will emerge with a better understanding of how decisions with data get made, how to interpret the profusion of data in our increasingly digital society, how different social science fields utilize data to understand their areas of study, and how to communicate effectively and clearly with data.
This joint program of study will be of particular interest to students hoping to pursue careers in social fields requiring quantitative analysis skills such as jobs in state or federal government, consulting, media and communications, and as analysts in marketing, business, social work, and politics. Many of these careers look for both a social science degree and data analysis skills. Additionally, this joint AOC may be helpful for those interested in graduate school in the social sciences, where sophisticated quantitative skills are increasingly expected as prerequisites for admission.
By learning the basic skills required to conduct sophisticated quantitatively oriented research, students in the Quantitative Social Science area of concentration provides students with a series of practical skills that will prepare them for the job market or future academic work, including coursework in some of the most in-demand technical skills employers and graduate programs look for (e.g., R, Python, statistical reasoning).
Designed to accompany an existing AOC’s substantive core courses, this joint AOC emphasizes the practical components of data analysis by requiring students to take courses related to both computer science and applied statistics. It also requires students to take a research design course that grounds them within a social science discipline. This ensures that students do more than learn how to do data analysis; they also understand why and when they should engage in data analysis in the first place.
Learn quantitative and statistical methods, programming and computational skills, quantitative integration and research design, math and data communication.Read more here
The Quantitative Resource Center (QRC) is dedicated to aiding the New College community in working with quantitative matters.See program details
New College of Florida offers more than 40 different majors in humanities, social sciences, and natural sciences, as well as a number of interdisciplinary concentrations.Read more here