Northeastern University

Overview

The Master of Science in Applied Quantitative Methods and Social Analysis at Northeastern University equips students with the skills to utilize advanced quantitative and computational techniques to explore social science inquiries related to inequality, social systems, and human behavior.

The program emphasizes practical skills through coursework in statistics, data mining, network analysis, geospatial analysis, and information ethics, preparing graduates for careers in research, policy, and data-driven roles. Offered at Northeastern campuses in the United States and Canada, the program may also provide co-op opportunities based on the chosen campus and track.

• Degree: Master of Science (M.S.)
• Program focus: Quantitative methods and computational approaches for social analysis
• Credits: Typically 32–36 credits (confirm with the official curriculum)
• Delivery: On-campus (availability varies by location)
• Co-op: Co-op opportunities may be available depending on campus and program plan
• Language of instruction: English
• Tuition fees: Vary by campus and student status—check the official Northeastern tuition page
• Application: Submit an online application and required supporting documents
• Intake: Multiple start terms may be available (confirm with your campus)

What you'll study

The curriculum integrates core quantitative training with applied social science analytics. While specific course offerings may vary by term and campus, students generally complete a series of required courses alongside electives and a capstone or research component.

• Core quantitative and computational courses (examples):
  • Statistical Analysis
  • Applied Econometrics
  • Computational Statistics
  • Data Mining / Machine Learning
  • Machine Learning in the Social Sciences
  • Information Design and Visual Analytics
  • Collecting, Storing, and Retrieving Data
  • Cyberlaw: Privacy, Ethics, and Digital Rights
  • Texts, Maps, and Networks: Readings and Methods for Digital History
  • Math and Statistics for Economists
• Applied learning: Students engage with social science datasets and research questions, focusing on interpretation, reproducibility, and ethical data use.
• Capstone / culminating work: Many plans include a culminating project or research-focused requirement, with the format varying based on the official program plan—confirm with the department.

Tip: Check the official curriculum page for the required courses specific to your start term and campus.

Entry requirements

• Academic background: A bachelor’s degree (or equivalent) in a relevant field is required. Applicants are encouraged to demonstrate preparation in mathematics, statistics, or related quantitative disciplines.
• Standardized tests: GRE is optional.
• English language proficiency:
  • Duolingo English Test: 110
  • TOEFL iBT: 85
  • IELTS (Academic): 6.5
• GPA: A competitive GPA is expected, with minimum thresholds varying by applicant profile—check the latest guidance with Northeastern.
• Required documents:
  • Online application
  • Application fee
  • Personal statement outlining professional goals and interest in the program
  • Unofficial transcripts from all institutions attended
  • Foreign Credential Evaluation (FCE) for non-U.S. accredited post-secondary education documents, as per country-specific requirements

Career prospects

Graduates of the Applied Quantitative Methods and Social Analysis program are well-positioned for various career paths in academia, government, non-profit organizations, and the private sector. The skills gained in quantitative analysis, data interpretation, and research methodologies are highly sought after in roles related to social research, policy analysis, and data science.