Northeastern University's MS in Applied Mathematics program is designed to address the needs of current and aspiring applied mathematics professionals who work in sectors such as financial services and investment management, data science and high tech, computer information and software development, academia, and research.<br>Our program was developed by research faculty, PhD-holding teaching faculty, and industry experts to bring together academic rigor and industry needs. Youll gain a strong advanced mathematical foundation, sharpen your problem-solving abilities, and develop your data analysis and modeling, machine learning, statistical learning, and computational skills. Along with core courseswhich include mathematical modeling, matrix analysis, probability I and II, machine learning I and II, and several statistics coursesyou can take classes in graph theory, numerical analysis I and II, algorithms for optimization, optimization and complexity, and quantum computation and information. In addition, were always expanding our course offerings to meet both student interest and industry need.<br>More advanced elective courses take advantage of our department's offerings in applied mathematics (including topological data analysis, probability and measure, Riemannian optimization, and theory of optimization) and in pure mathematics (including advanced differential equations and functional analysis, differential, algebraic, and discrete geometry and topology, and mathematical methods in quantum theory).<br>According to the U.S. Bureau of Labor Statistics, the overall employment of data scientists is projected to grow 35% from 2022 to 2032, much faster than the average for all occupations. The average annual wage for data scientists is 103,500 as of September 2023.