MS in Applied Statistics for Social Science Research
A Socially Significant Master's Degree
Learn advanced statistical methods and use them to address important social issues. In this master of science program, you will build a strong foundation in statistical research techniques and apply them in contemporary social, behavioral, and health science research.
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 still aren't enough statistics graduates to meet this demand. As a graduate of our program, you'll acquire highly marketable skills for a wide range of challenging and rewarding data-intensive careers in the social sciences.
What you'll learn
If you have a quantitative background and like to work with numbers and solve problems, this program will sharpen your data analysis and analytical skills. You will learn how to:
- Manipulate simple and complex data structures
- Determine appropriate analyses needed to answer critical questions
- Apply a wide range of statistical methods and understand the results at a sophisticated level
- Evaluate the appropriateness and efficacy of statistical procedures
- Communicate the role of and results from statistical analyses to colleagues or employers
- Alter or extend existing techniques or develop new methods to address complicated data analysis problems for which routine statistical procedures are insufficient (open to students who enter the program with more advanced training)
See the curriculum and requirements for this master's degree.
How you'll learn
You can complete the degree in three or four semesters of full-time study or up to six semesters of part-time study. If you are entering the program with prior statistical training, you may choose to pursue the accelerated, lower-credit option.
Courses consist of theoretical foundations, statistical inference and generalized linear models, causal inference, survey research methods, multilevel modeling, applied statistics electives, and electives. Data analysis projects prepare you to undertake research and make data-based decisions and assessments.
Practical Learning Experiences
You can apply the skills you learn to address policy issues and social problems through an internship and the consulting research seminar. You’ll also work closely with faculty on research projects.
An Emphasis on Social Change
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. They're applying data analysis methods and strategies to questions such as:
- What is the role of media in forming public opinions?
- What is the effect of gifted and talented programs on student achievement?
- What is the relationship between diet and certain forms of cancer?
- Do student curricular pathways matter for degree attainment and subsequent labor market outcomes?
- What are effective strategies for rehabilitation of stroke patients?
What can I do with a master's in applied statistics?
Our curriculum prepares you 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 prepared for further academic study in a variety of academic disciplines that require quantitative analysis.
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. For more information on who can apply for this extension and how, see NYU’s Office of Global Services: STEM OPT.
What options do I have to study statistics at NYU?
The MS program is an initiative of the NYU Steinhardt Center for the Promotion of Research Involving Innovative Statistical Methodology (PRIISM) and is an integrated part of the larger university-wide initiative in Data Science and Statistics, which offers several new master’s degrees, including this MS program. See a full list of master’s and doctoral programs in the field of statistics and data science at NYU.
For more information about this degree, please contact
Jamie Remmers, Student Adviser