The data science revolution is changing how we use statistical analysis to address important social questions. In this flexible-credit master of science program, you will learn advanced quantitative research techniques and apply them to critical policy issues across the social, behavioral, and health sciences, preparing for a career as an applied statistician or data scientist or for doctoral study.
Degree Name: Applied Statistics for Social Science Research
Academic Plan Code: ASSR
Subplan Code Options:
Computational Methods - CPM
Data Science for Social Impact - DSI
General Applied Statistics - GAS
Credits: 34-44 (variable credit program)
Academic Load: Full-time or part-time. Students have up to six years to complete the program.
Fall: February 1
Program Website | 212-992-9475
Being Quantitatively Competent Matters
In addition to a strong academic record and GRE scores, applicants should have majored or minored in a quantitative discipline (such as mathematics, statistics, or computer science) that provides a solid foundation for advanced study of applied statistics or completed a selection of courses typically found in such quantitative disciplines. We strongly encourage individuals who major or minor in other quantitatively rigorous disciplines to apply, if their skills and interests align with the goals of our program.
Writing Skills Matter
We prepare statisticians who can communicate the results of their work to others. The analytical writing score of the GRE is, therefore, important as are other examples of writing ability (for example, the statement of purpose and supplemental statement).
Reasons for Pursuing the MS Matter
Our program has a defined goal and philosophy. We strongly seek candidates who have a clear and demonstrated commitment to making positive social change in the world through thoughtful and intelligent use of data. The majority of the courses in Applied Statistics for Social Science Research (A3SR) program are in the Applied Statistics program. While students have some unrestricted electives that they can use to explore the breadth of opportunities at NYU, this is a degree with targeted academic and training goals. A3SR students become part of a community of like-minded statisticians interested in addressing important social issues.
How to Apply
These instructions and requirements are for all applicants. If you are not a citizen or a permanent resident of the United States, please read the special instructions for international applicants.
Your application will require the following items. The following are acceptable document types for uploads: .pdf, .jpeg, .jpg, .gif, .tiff, .png, .doc, .docx, and bitmap.
1. Prepare Your Application
You are required to upload a copy of your most recent résumé or curriculum vitae as part of your application.
In the Statement of Purpose section of the application please upload your response to the following:
Please explain why you are interested in enrolling in this specific master’s degree program. In particular, please give a brief rationale for the classes you are most interested in taking, the professors you are most interested in working with, and the attributes of the program you are most excited about. (double-spaced, ½ -1 page)
You are required to upload to the ASSR Statement section of the application, a response to one of the options below.
Please choose one of the following:
- As an applied statistics program, we focus on a deep understanding of statistical methods, their properties and assumptions, as well as the connections between statistical methods and their substantive applications. What in your previous experience has prompted you to want to pursue a master’s degree in applied statistics? Please consider any volunteer experiences, classes, or people that inspired you. (double-spaced, 1-2 pages)
- As an applied statistics program, we focus on a deep understanding of statistical methods, their properties and assumptions, as well as the connections between statistical methods and their substantive applications. To what field(s) do you anticipate applying your statistics skills after graduation? What are your specific career goals within those fields? (double-spaced, 1-2 pages)
Complete the “ASSR Prerequisite Form” on the application. This form is used to gather your previous background and experiences with mathematics, statistics, and statistical software.
Submit two letters of recommendation. Be sure to request them well in advance of the deadline. Read detailed instructions.
Upload one official copy of transcripts from every postsecondary school you have attended or are attending. Make sure to request them in advance of the deadline.
If you completed or are completing a degree at an institution outside of the US or Canada, you are required to provide a WES or ECE evaluation. Please review our requirements for translation and a course-by-course evaluation of your transcripts.
Although the GRE is typically required for this program, for the 2022 admissions cycle the GRE general test score is optional, and the GRE subject test is not required.
The Admissions Committee will review all applications holistically, and the applications submitted without GRE scores will not be disadvantaged in the review. For more information see testing requirements.
Please submit an academic writing sample in English (a course paper or its equivalent) of not more than 20 pages that you feel demonstrates your writing and analytic abilities. The sample does not need to display a knowledge of applied statistics or data science.
See testing requirements.
After you fill in and upload the required information, you can submit your completed application. Your application must be completed, dated, electronically signed, and submitted by 11:59 p.m. EST of the stated deadline.
You will be prompted to pay a $75 application fee, payable by major credit card only. After submitting your payment, you will see your application status change from “saved” to “submitted.” Please print this screen for your records, as it confirms that your application has been successfully sent to our school. If you have problems submitting your payment, please contact the Office of Graduate Admissions. Learn more about our fee waiver policy.
If any remaining application materials need to be mailed to our office, mail the materials together in a single mailing using this document cover sheet. Items received without the cover sheet take longer to process and match to your application. Please do not mail your materials in binders or folders. Any mailed materials must be received by, not postmarked by, the stated deadline. Only completed applications will be considered and reviewed by the Admissions Committee. Due to high volume, we are unable to confirm receipt of mailed materials.
Application deadlines are "in-office" deadlines, not postmark deadlines. It is your responsibility to ensure that all materials are in the Office of Graduate Admissions by the appropriate deadline, and we reserve the right to return any application that arrives after the deadline. Only completed applications will be considered. Should a deadline fall on a weekend, the in-office deadline will be the next business day. We advise you to apply early.
Please check the online system to confirm that you have successfully submitted your application. Due to the volume of applications and related materials received, the Office of Graduate Admissions will only contact you if your application was successfully submitted and is deemed incomplete because of missing required materials. Otherwise, you will hear from us when the admissions committee has made its decision.
Deferral policy: NYU Steinhardt does not allow deferrals. Applicants who wish to be considered for a future semester must reapply by submitting a new application with all supporting materials, including letters of recommendations, by the application deadline.
3. Receive Your Admission Decision
You will be notified about your decision by email. Typically, decisions will start going out in late November for Spring semester enrollment and in late March or early April for Summer or Fall enrollment. You may learn of your decision before or after this timeline.