Best Universities offering graduate programs in Mathematics and Statistics

The Department of Statistics offers its M.A. program in a partially online format, offering students greater flexibility in completing the M.A. Degree. The first semester (only) of the hybrid program is offered online. The remaining courses are completed on campus, during which time the hybrid students are completely integrated into the resident program.

The degree requirements and the actual diploma/M.A. Degree rewarded are identical for both the hybrid online/on-campus program and the regular on-campus program.

The Ph.D. in Mathematics program at Duke University provides research training in a wide range of mathematics topics. Algebra, number theory, algebraic geometry, analysis, differential geometry and physics, topology, dynamical systems, partial differential equations, scientific computers, and stochastic processes are major areas of research specialization. There are significant groups in mathematical biology and the analysis of high-dimensional data employing topology and harmonic analysis theories.

The mathematics graduate program at Dartmouth College is a small, selective program that serves students who wish to complete a Master in pure or applied mathematics. The program is structured to serve both those who envision a career involving research and teaching as well as those who wish to continue their research in industry. It is a five-year program in which students are enrolled in each of the Summer, Fall, Winter, and Spring terms. Students who are admitted to the Master program are offered support through a Dartmouth Fellowship or other grant for up to five years provided they continue to make satisfactory progress towards their degree.

The Johns Hopkins University Mathematics, PhD program's purpose is to prepare graduate students to work as research mathematicians. Analysis and geometric analysis, algebraic geometry and number theory, differential geometry, algebraic topology, category theory, and mathematical physics are among the faculty's research interests. During the first several years of the program, PhD candidates study two or three courses per semester. The  faculty offers a variety of mandatory and intermediate-level graduate courses, individual studies, and special topics classes.

The Department of Mathematics and Statistics at Washington University in St. Louis offers a master's degree and a doctoral program in Mathematics. Graduate programs are intended to provide students with a comprehensive perspective in advanced mathematics by providing a solid foundation of core courses. Applied mathematics researchers develop new mathematical theory and methods that are motivated by and aimed toward applications. Differential equations and dynamical systems, numerical analysis and scientific computing, image and signal processing, stochastic processes, and mathematical physics are some of the specific research topics.

Cornell University's Department of Mathematics provides a rigorous graduate program leading to the Ph.D. degree that combines study and research possibilities. The broad range of interests of the professors is one element that makes the Cornell program particularly appealing. The core courses are divided into three sections: analysis, algebra, and topology/geometry.

The graduate program provides training and research activities in a broad spectrum of applied mathematics. The breadth is one of the great strengths of the program and is further reflected in the courses they offer.

The Division of Applied Mathematics is devoted to research, education and scholarship. The faculty engages in research in a range of areas from applied and algorithmic problems to the study of fundamental mathematical questions. By its nature, our work is and always has been inter– and multidisciplinary. Among the research areas represented in the division are dynamical systems and partial differential equations, control theory, probability and stochastic processes, numerical analysis and scientific computing, fluid mechanics, computational biology, statistics, and pattern theory.

The graduate program in applied mathematics includes around 50 Ph.D. students, with many of them working on interdisciplinary projects. Joint research projects exist with faculty in various biology and life sciences departments and the departments of Chemistry, Computer Science, Cognitive and Linguistic Sciences, Earth, Environmental, and Planetary Sciences, Engineering, Mathematics, Physics and Neuroscience, as well as with faculty in the Warren Alpert Medical School of Brown University.

The University of Notre Dame's master's degree in Applied and Computer Mathematics and Statistics involves 30 credits of study in statistics, applied mathematics, or computational science. The courses are specifically developed to address difficulties that businesses confront today. Applied Statistics, Applied and Computational Mathematics, and Predictive Analytics are some of the specializations available to students. The degree requirements are flexible enough to accommodate a wide range of student interests while still guaranteeing that students finish with a thorough understanding of the subject matter.

The Department of Mathematics at UC Berkeley provides a PhD program in both Mathematics and Applied Mathematics. Students are a diverse, dynamic collection of people who are enthusiastic, inquisitive, and dedicated to their fields of study. Students take  at least four courses during their first year of the PhD program, two of which must be graduate courses provided by the Department of Mathematics.

The MS program in Mathematics and Statistics is designed to educate students for professional jobs in fields that use mathematical and statistical sciences. The evening-only curriculum is designed for students with solid backgrounds but no baccalaureate degrees in mathematics. Students graduate with vital practical skills in areas of national significance as a result of a comprehensive and diversified curriculum. Aside from the career-related parts of the degree, students develop a passion and understanding for the beauty and excitement of the world of applied mathematics and statistics.