The MA program in AQR requires the successful completion of a sequence of courses that will total  34 credits, including the successful completion of an approved thesis. Below is a description of the courses in the AQR core, as well as elective and thesis options. These courses can be completed on a full-time or part-time basis.

AQR Workshops (Fall and Spring semesters) These workshops are designed to serve multiple sets of student needs. With a focus on presentations from outside speakers and practical training, these seminars will expose students to different methods and practices of sociology. Seminar presentations are given on a wide range of topics by faculty from NYU and other New York City universities, as well as researchers from private, government, and non-profit settings.

Design of Social Research (Fall semester) This course, taken in the fall semester, is a comprehensive introduction to quantitative research in the social sciences. The course focuses on foundational ideas of sociological research, including strengths and weaknesses of different research designs, interpretation of data drawn from contemporary and historical contexts, and strategies for evaluating evidence. The majority of the course is comprised of two-week units examining particular research designs, with a set of scholarly articles that utilize the particular design being studied at the time (e.g., experimental designs, with a set of readings that use this method to examine discrimination in labor and housing markets). The course is designed so that students will produce a proposal of their thesis as their final paper.

Techniques of Quantitative Analysis I and II (Fall and Spring semesters) The two-semester course in data analysis covers numerous specific statistical tools used in social science research. The course emphasizes the use of statistical software packages in analysis. Students will gain experience with linear regression, probability models, statistical graphics, polynomial models, analysis of multivariate outcomes and repeated measures, and logistic regression.

Data Analysis (Spring semester) An integral aspect of the program is a semester-long course in which students work collaboratively on a data project. Working with "real-world" data is an essential skill often overlooked in Master's study, leaving students unprepared for the challenges they are likely to face upon graduation. This course coordinates teams of students to work with a large social science data set and develop research presentations for academic and non-technical audiences. This course provides students with an authentic experience in data analysis and presentation.


The three elective courses will be taken from across the graduate course offerings of the Sociology Department and programs in other departments and schools at NYU.

Master's Thesis
To successfully fulfill the requirements for the MA in Applied Quantitative Research, students will complete an independent research project, under the direction of a faculty member in the Department of Sociology (either chosen by the student, or assigned by the AQR Program Director). The project will involve an original analysis of quantitative data to answer a research question constructed by the student (and approved by her/his faculty advisor). A preliminary proposal must be discussed and approved by the faculty advisor. The final project will take the form of a paper that would potentially be appropriate for submission to a scholarly journal in the social sciences.