Masters degree in Mathematics at Boston University

 

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Masters Degree in Mathematics at Boston University

Boston University - Master's degree - Mathematics Boston University
Master's degree
Mathematics

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The Department of Mathematics and Statistics offers graduate coursework and degree programs across a broad range of subject areas within the mathematical sciences. A master's-level curriculum rich in both theory and application is available to graduate students in mathematics, the natural sciences, engineering, and mathematics education, as well as to advanced undergraduates in mathematics. At the doctoral level instruction is frequently in seminar and tutorial formats, with individual faculty members meeting with small groups of students.

The curriculum in mathematics provides the intellectual core on which all programs are based. Current faculty research interests include arithmetic and analytic number theory, algebraic geometry, differential geometry and topology, dynamical systems, mathematical biology, mathematical physics, mathematical logic, ordinary and partial differential equations, probability theory, and the history of mathematics. In addition to these areas, coursework is provided in real and complex analysis, functional analysis, Lie groups and algebras, and algebraic topology.

The program in dynamical systems and applied analysis provides a framework in which students may bring tools of modern analysis, geometry, and topology to bear on a broad range of problems. Areas of current research interest include dynamical systems, celestial mechanics, complex dynamics, ordinary and partial differential equations, biomathematics, and neural networks.

The program in probability theory provides mathematical background for understanding the random phenomena that arise in science and engineering. It also provides a link between mathematics and statistics. The degree program in mathematical statistics provides the mathematical foundations of modern statistical methodologies. The program in applied statistics is designed to produce practitioners broadly trained in the application of statistics. Research interests of the faculty include stochastic processes, estimation theory, hypothesis testing, mathematical finance, biostatistics, robust statistics, multivariate analysis, life-testing and reliability theory, data analysis, time series, regression, and the design of experiments.

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