Data analysis is driving research and decision-making in every social science field and sector. The M.S. in Quantitative Methods in the Social Sciences at the Graduate Center prepares students from a variety of backgrounds for a data-driven future.
Our affordable, interdisciplinary program is designed for experienced professionals and scholars as well as recent college graduates.
You will learn how to make sense of real-world data to help answer research questions, inform policy, and further our understanding of the dynamic relationships that exist in society. You will learn advanced data and statistical analysis techniques and the logic behind them. You will have the opportunity to draw on a variety of theoretical frameworks from fields such as sociology, political science, educational psychology, economics, and demography to understand the world we inhabit.
You will gain hands-on experience in using specialized software to acquire, manage, and assess real-world data, and will have opportunities to present your findings.
You can tailor your learning to your interests through our optional concentrations: analysis of socio-economic inequality at the global, national, and urban/regional levels; demographic methods; learning in digital environments; and quantitative methods.
Our convenient location in midtown Manhattan puts you within easy reach of the knowledge-intensive enterprises that are shaping the data revolution.
Program graduates are prepared to excel in a variety of areas, including policy-making and analysis, marketing, research, evaluation, social services, technology, media, health care, and education. You will also be well positioned for further doctoral study.
Our professors are renowned social scientists who develop and apply quantitative methods to their work. Full-time faculty teach our courses, and students take advanced courses alongside top doctoral students. We teach in an engaging seminar-style, with time for questions and discussion.
As a public institution, we offer an exceptional program at a fraction of the cost of comparable programs at other universities.
The curriculum is 30 credits. Students take three foundational courses in statistics and research methods and have the flexibility to tailor their electives to hone in on the skills and topics that most interest them. Students choose courses in consultation with their academic advisors. The program culminates with a capstone research project conducted in close consultation with a faculty member.
Students with a variety of backgrounds are encouraged to apply. Learn more about the admissions requirements.The deadline to apply for fall 2018 is May 1.