

The Mathematical Methods in the Social Sciences (MMSS) program is designed for students seeking a strong foundation in both rigorous mathematical reasoning and the analytical tools used in economics, political science, sociology, and psychology. This interdisciplinary program combines core courses in advanced mathematics, probability, statistics, and computing with applied coursework in social science disciplines. Students develop a unique skill set that enables them to model, analyze, and interpret complex social phenomena using quantitative methods. The curriculum fosters a deep understanding of how mathematical models intersect with human behavior, institutional design, and social policy.
Students begin with intensive mathematical training and gradually progress to more specialized applications in fields like econometrics, decision theory, and game theory. In parallel, they explore real-world social science challenges such as inequality, political behavior, market structures, and public opinion, applying the quantitative methods they’ve mastered. The program’s integrative structure promotes critical thinking, data-driven analysis, and the ability to translate theoretical models into empirical insights. Research projects and advanced electives allow students to explore areas of interest in depth, guided by faculty who work at the frontier of quantitative social science.
Year 1
• Calculus I & II
• Introduction to Social Science Research
• Linear Algebra
• Principles of Microeconomics
• Academic Writing and Communication
Year 2
• Multivariable Calculus
• Introduction to Econometrics
• Probability and Statistics
• Political Science or Sociology Elective
• Data Analysis with Python or R
Year 3
• Game Theory or Decision Theory
• Quantitative Methods in Social Research
• Behavioral Economics or Public Policy Analysis
• Advanced Statistical Modeling
• Elective: Demography, Political Economy, or Survey Design
Year 4
• Capstone Research Seminar
• Mathematical Modeling in Social Sciences
• Elective: Network Analysis or Machine Learning Applications
• Ethics in Social Research
• Independent Study or Honors Thesis
Graduates of the MMSS program are in high demand for their ability to combine mathematical precision with social science insight, a skill set increasingly valued across sectors. They pursue careers in economic consulting, policy analysis, tech industry analytics, and market research, as well as in governmental and non-governmental organizations. Roles such as data analyst, policy advisor, quantitative strategist, and behavioral researcher are common among alumni. The program also provides a strong foundation for graduate study in economics, political science, public policy, law, and business. Employers recognize MMSS graduates for their capacity to analyze large datasets, construct predictive models, and evaluate human behavior within institutional contexts.
This program is ideal for intellectually curious students who want to understand society through both quantitative and conceptual lenses. It offers a unique educational experience by merging the logic of mathematics with the complexity of human behavior and institutions. The curriculum fosters a rare balance of analytical power and real-world applicability, preparing students to tackle social problems with data-informed solutions and sharp reasoning. With access to faculty from multiple disciplines and opportunities for research and internships, students are well-positioned to build careers that demand both mathematical fluency and an understanding of the human dynamics shaping our world.
For further information, please contact the admissions office at:
Phone: +1 312 555 2040
Email: admissions@northwestern.edu
Address: University of Northwestern, 633 Clark Street, Evanston, IL 60208, United States