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NYU Steinhardt School of Culture, Education and Human Development MS in Applied Statistics for Social Science Research
NYU Steinhardt School of Culture, Education and Human Development

MS in Applied Statistics for Social Science Research

New York, USA

3 Semesters

English

Full time, Part time

Oct 2024

USD 1,795 / per year **

On-Campus

* late applications may be accepted if space is available

** Tuition per point/credit in 2019-20 academic year

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Introduction

A Socially Significant Master's Degree

According to the National Center for Education Statistics, the number of jobs in statistics and data science has nearly tripled in the past five years – and the American Statistical Association says there are still not enough statistics graduates to meet this demand. As a student in this program, you will acquire highly marketable advanced analytic skills for a wide range of challenging and rewarding data-intensive careers in the social, behavioral, and health sciences. In particular, students in this program will:

  • Build a strong foundation in statistical research techniques and apply them to address critical issues in contemporary social, behavioral, health science and policy research.
  • 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, or healthcare.
  • Prepare for further academic study in a variety of disciplines that require or focus on quantitative analysis.

Key Program Features

Students in this program will have the opportunity to tailor their studies in one of the following three concentrations:

  • Data Science for Social Impact, one of the first degree programs in the world to focus on the real-world challenges of using data to inform policy and practice, prepares students 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. Students will be well-positioned to work in a wide variety of careers at the intersection of data and society or to pursue doctoral studies in the social, behavioral, or health sciences.

  • Computational Methods provides more rigorous training in methodological theory and development and is particularly appropriate for students who wish to progress to Ph.D. programs in statistics, economics, or computer science.

  • General Applied Statistics offers maximal flexibility, allowing students to customize their programs of study by selecting from a broad set of statistics and related courses. Students from this track will be well-positioned to pursue careers in industry, research, and doctoral programs that are consistent with their coursework and internship experiences.

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 this program may also be eligible for 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.

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