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MS, Applied Statistics for Social Science Research

The data science revolution is changing how we use statistical analysis to address important social questions. In this flexible-credit 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.

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Degree Details

Official Degree Title

Master of Science in Applied Statistics for Social Science Research

Format
Full-time or Part-time
Credits
34–44
Start Date
Fall
Application Deadline

You will tailor your studies in one of our concentrations to meet your particular interests in the field of applied statistics. 

Data Science for Social Impact

Prepare to build research-practice partnerships, become knowledgeable of ethical concerns surrounding data collection and use, and communicate effectively and succinctly research findings and their implications. This is one of the first degree programs in the world to focus on the real-world challenges of using data to inform policy and practice. 

Computational Methods 

You will experience more rigorous training in methodological theory and development, which is particularly appropriate if you wish to progress to a PhD program in statistics, economics, or computer science.

General Applied Statistics

This concentration offers maximal flexibility, allowing you to customize your studies by selecting from a broad set of statistics and related courses. You can pursue careers in industry, research, and doctoral programs that are consistent with your course work and internship experiences.

Your courses will consist of theoretical foundations, statistical inference and generalized linear models, causal inference, survey research methods, multilevel modeling, applied statistics electives, and a small number of unrestricted electives. Data analysis projects will prepare you to undertake research and make data-based decisions and assessments. 

You will choose course work that prepares you for your career, with specific credits dedicated to thematic concentrations in Computational Methods, Data Science for Social Impact, or General Applied Statistics. 

You will be able to apply the skills you learn to address policy issues and social problems through an internship and the consulting research seminar. You also will work closely with faculty on research projects.

Our faculty members have worked in policy and advocacy organizations in fields including public health, politics, psychology and psychometrics, demography, sociology, labor markets, and education.

Prepare for a career as an applied statistician and data scientist in the private or public sector, working in fields such as psychology, education, political science, public policy, media research, and healthcare. You'll also be ready for further academic study in a variety of academic disciplines that require quantitative analysis.

You'll be prepared to:

  • Help shape the design of a research project or study
  • Play an important role in implementing the study or survey
  • Be responsible for collecting, organizing, and analyzing the data from various primary and/or secondary resources
  • Help develop guidelines or protocols for collecting the data and extrapolating findings from the data
  • Work with sophisticated data management and statistical software to undertake your analyses and write reports on your findings
  • Explain past behavior, identify likely outcomes and scenarios, explore future trends, and make projections
     

Questions 

If you have any additional questions about our degree, please feel free to contact us at steinhardt.a3sr@nyu.edu.

Applied Statistics for Social Science Research student Letisha Smith

My exposure to reform efforts in … school environments allowed me to recognize that the most effective policies were backed by data. Therefore, I decided to get my master’s degree in applied statistics at NYU Steinhardt because of the program’s focus on social science research.

Letisha Smith '17

Faculty

Jennifer Hill

Professor of Applied Statistics

jlh17@nyu.edu

Marc Scott

Professor of Applied Statistics

marc.scott@nyu.edu

Sharon L. Weinberg

Interim Department Chair; Professor of Applied Statistics and Psychology

sharon.weinberg@nyu.edu

Ying Lu

Associate Professor

ying.lu@nyu.edu

Daphna Harel

Assistant Professor of Applied Statistics

dh126@nyu.edu

Ravi Shroff

Assistant Professor of Applied Statistics

ravi.shroff@nyu.edu

Tod Mijanovich

Research Associate Professor

tm11@nyu.edu

Program Benefits for International Students

If you’re an international student, you may be able to work in the United States after graduation for an extended period of time. Most students studying on F-1 visas will be eligible for 12 months of Optional Practical Training (OPT) off-campus work authorization. F-1 students in our program may also be eligible for the STEM (Science, Technology, Engineering, or Mathematics) OPT extension, allowing you to extend your time in the United States to pursue degree-related work experience for a total of 36 months or 3 years. For more information on who can apply for this extension visit NYU’s Office of Global Services: STEM OPT.