New York University

Overview

The MSc in Applied Statistics for Social Science Research at New York University equips students with the necessary skills to apply statistical and data science methods to address pressing social and policy issues. This program focuses on developing practical expertise in research design, causal reasoning, and quantitative analysis, preparing graduates for careers in research, analytics, and roles that drive public impact.

What You'll Study

Core focus: The program emphasizes quantitative methods, statistical inference, causal reasoning, and applied data science tailored for social research.

Indicative course areas (modules may vary by intake):

• Intermediate Quantitative Methods
• Regression and Multivariate Data Analysis
• Advanced Modeling (Multivariate Analysis topics)
• Statistical Inference and Evidence
• Causal Inference
• Multilevel Models (nested data)
• Multilevel Models (growth curves)
• Data Science for Social Impact
• Messy Data, Machine Learning, and Applied Prediction
• Statistical Computing & Simulation Practicum
• Statistical Consulting Research Seminar
• Bayesian Inference (where offered)
• Applied Probability (where offered)

Capstone / culminating work: The program includes a research-oriented practicum and/or a consulting-style seminar. The specific capstone format may vary based on the chosen track.

Specialisation / track options: Students may have the opportunity to select a general track or a concentration focused on computational methods and data science for social impact, depending on the curriculum for that academic year.

Entry Requirements

Academic Background

• A bachelor’s degree in a relevant field such as statistics, mathematics, economics, social sciences, or computer science.
• Strong quantitative preparation suitable for graduate-level statistics and modeling is expected from applicants.

Standardised Tests

• GRE: Required for admission.

English Language Proficiency

• IELTS: Minimum score of 7.0
• TOEFL iBT: Minimum score of 90
• PTE Academic: Minimum score of 65
• Duolingo English Test: Minimum score of 125

Application Documents

• Résumé/CV
• Statement of Purpose
• ASSR Statement (as required by the program)
• Two letters of recommendation
• Academic transcripts
• GRE score report

Career Prospects

Graduates of the MSc in Applied Statistics for Social Science Research can pursue various career paths in research, analytics, and public policy. The skills acquired during the program prepare students for roles in governmental and non-governmental organizations, research institutions, and private sector analytics firms.

International students in the United States may also be eligible for post-study work authorisation through the STEM OPT extension, depending on their program’s CIP classification and individual eligibility, allowing for enhanced work opportunities after graduation.