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Northeastern University's Master of Science in Applied Mathematics program caters to both current professionals and those aspiring to enter fields like finance, data science, technology, software development, academia, and research.
Developed by leading researchers, doctoral faculty, and industry specialists, our curriculum bridges theoretical knowledge with practical applications. Students build a robust mathematical background while enhancing analytical capabilities in data modeling, machine learning, statistical methods, and computational techniques. The core curriculum covers mathematical modeling, matrix analysis, probability, machine learning, and statistics, supplemented by electives in graph theory, numerical analysis, optimization algorithms, and quantum computing. We continuously update our course selection to align with student interests and industry demands.
Advanced electives leverage our department's strengths in applied mathematics (featuring topological data analysis, probability theory, Riemannian optimization) and pure mathematics (including advanced differential equations, geometric theory, and quantum mathematics applications).
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