Mathematical Methods in the Social Sciences trains students to use mathematics and statistics to model real-world social, behavioral, and policy questions. You’ll learn core tools such as probability, econometrics, and formal modeling to support rigorous research and analysis.
The Bachelor of Science in Mathematical Methods in the Social Sciences at Northwestern University equips students with the mathematical and statistical tools necessary to analyze and model complex social, behavioral, and policy-related issues. This program emphasizes the application of quantitative methods to real-world problems, fostering a strong foundation in the skills needed for rigorous research and analysis.
The curriculum is designed around core quantitative methodologies and their relevance to social science research. While course offerings may vary, students can expect to engage in the following key areas:
Capstone / thesis: Many programs include a culminating research or applied project to showcase students' understanding and application of their studies.
Electives / specialization: Students may have the opportunity to choose electives that enhance their skills in econometrics, data analysis, or formal modeling and theory.
While specific GRE, GMAT, or GPA requirements are not detailed, prospective students should be prepared to meet general admission standards. Applicants may also need to demonstrate English proficiency if it is not their primary language.
Graduates of the Mathematical Methods in the Social Sciences program are well-prepared for various career paths in fields such as public policy, academia, data analysis, and economic consulting. The analytical skills and quantitative expertise gained through this program enable students to tackle complex societal issues and contribute meaningfully to their chosen professions.
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