20 Best Mathematics Doctoral Degree Programs in United States of America (USA) for 2024

The Ph.D. program will produce biostatisticians who can develop a biostatistical methodology that can be utilized to solve problems in public health and the biomedical sciences. In addition, graduates of the Ph.D. program will be prepared to apply biostatistical and epidemiology methodology for the design and analysis of public health and biomedical research investigations. Finally, graduates of the Ph.D. program will be well suited to function as collaborators or team leaders on research projects in the biomedical and public health sciences. The program requires competency in the theory of statistics and probability, in introductory and advanced biostatistical methods and theory, and in fundamentals of epidemiologic study design. The doctoral dissertation will be the culminating experience in the Ph.D. program. Graduates of the doctoral program will have written a doctoral dissertation that focuses on the development of a new methodology or on the innovative application of biostatistical methods to a health sciences research problem. Graduates of the Ph.D. program will be in a position to: Demonstrate an increased level of knowledge and understanding of current statistical theory, methods, and practices in the health sciences. Develop new statistical methods. Design, manage data, analyze and interpret data from a variety of experimental and observational studies. Communicate research findings, including new statistical methods developed, effectively to various audiences in writing and through oral presentation The goals of the Ph.D. program are to train students in the application of appropriate statistical methods for diverse problems in medicine and public health and to provide a solid theoretical foundation for the development and investigation of new statistical methods. In addition to the formal statistical training, students will have adequate flexibility in choosing statistical and non-statistical electives to tailor their curriculum towards a specific application area such as genetics, epidemiology, or environmental health.

With a Ph.D. in Mathematics from Claremont Graduate University, you will join a community of highly educated, capable scientists who excel at communicating knowledge to students, fellow mathematicians, and the global community. CGU’s Institute of Mathematical Sciences (IMS) trains scientists in fundamental areas of mathematics and develops expertise in specialized areas of interest.

This program prepares students for the proper use and application of advanced statistics and evaluation procedures, specifically applied in the social and behavioral disciplines of education, psychology, counseling and other related fields. Our graduates are prepared for educational research and evaluation positions in schools, government agencies, private corporations and foundations, colleges and universities, research institutions and national testing centers.

The Electrical Engineering (EE) graduate program at UVM offers you the chance to contribute to EE innovation, while also expanding your career options. UVM offers an M.S. degree with research, project, or course-work options, an accelerated M.S. degree track for qualified undergraduate students as well as a Doctor of Philosophy (Ph.D.) degree. UVM has outstanding EE faculty, who work closely with talented...

The Mathematics department at Boston College offers a selective and focused doctoral program for talented students specializing in three broad research areas: Geometry/Topology, Number Theory/Representation Theory, and Algebraic Geometry.

Wharton’s Ph.D. program in Statistics allows students to engage in both cutting-edge theories and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across Penn such as biostatistics within the Medical School and computer science within the Engineering School.

The Integrated Applied Mathematics (IAM) Ph.D. is a unique applied mathematics program designed to facilitate interdisciplinary research among graduate students and participating faculty. This interdisciplinary program allows students to explore the frontier where the sciences meet cutting-edge mathematical analysis and high-performance computing.

Students who complete the PhD program will gain knowledge in probability, statistical inference, and hypothesis testing, the design and conduct of experimental and epidemiological studies, statistical computation, and data analysis.

The Department offers programs towards the Master of Science, Master of Science in Teaching, and the Doctor of Philosophy in Mathematical Sciences. There are two areas of concentration: pure mathematics and applied mathematics. The programs emphasize the interaction between these two areas and the common role of scientific computation. Students can take courses common to both areas, enabling them to gain an...

Graduates with a master’s in applied mathematics can expand their subject matter expertise by choosing a Ph.D. in applied mathematics at Florida Tech. As one of only 30 applied for mathematics programs in the United States, Florida Tech’s doctoral program offers several specializations in the field, including nonlinear analysis, stochastic analysis, optimization, numerical analysis, scientific computing, and statistics.

The Department of Mathematics takes seriously three aspects of mathematics within its graduate training: 1) Applied Mathematics: mathematicians help directly in the solution of problems which arise in other areas of human endeavor, 2) Mathematical Education: training others how to develop solutions on their own, and 3) Pure Mathematics: they expand the reach and clarify the understanding of mathematical thought itself.

Statistics as a discipline develops methods to collect and interpret data. Modern statistical methods are used in many areas, such as medicine, the biological and social sciences, economics, finance, manufacturing, marketing research, management, government, and research institutes.

The PhD in Biostatistics is founded in theory and application or statistical analysis. The aim is to produce research-oriented scientists who can advance statistical and modeling theory and can interact effectively with scientists in other disciplines to advance knowledge in those fields.

Our department fosters a supportive environment through hands-on instruction while promoting the proficiency needed to prepare students for a wide range of career possibilities. Particular strengths as a department include computational and applied mathematics. The department offers M.S. and Ph.D. degrees in computational and applied mathematics.

The Department of Statistical Science began offering a Ph.D. in Statistical Science in 1968. Since that time it has awarded over 185 Ph.D. degrees. The courses in the Ph.D. curriculum in Statistical Science at SMU provide our students with the strong theoretical foundation in mathematics, statistical inference, and probability needed for students pursuing a research-oriented Ph.D. degree.

Our master and doctoral programs provide students with the necessary skills to apply statistical theory, methods and techniques to the planning, development and evaluation of health programs and problems.

The Ph.D. in Electrical Engineering program prepares individuals to perform original, leading-edge research in the broad areas of communications and signal processing; mixed-signal IC design; digital systems; power electronics; microelectronics and nanoelectronics; optics; optoelectronics; light-wave devices and systems; RF and microwave systems; biomedical applications of electrical engineering; VLSI design; power electronics; renewable energy; vehicular technology, control theory, robotics, and wireless communications.

The Mathematics Ph.D. degree curriculum at The University of Texas at Dallas offers extensive coursework and intensive research experience in theory, methodology, and applications of mathematics. During their study, Ph.D. students acquire the necessary skills to prepare them for high-level careers in fields requiring mathematical sophistication.

Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or stochastic, and static or dynamic, and they enable investigating, analyzing, and predicting the behavior of systems in a wide variety of fields.

The Statistics Ph.D. degree curriculum at The University of Texas at Dallas offers extensive coursework and intensive research experience, in theory, methodology, and applications of statistics. During their study, Ph.D. students acquire the necessary skills to prepare them for careers in academia or in fields that require sophisticated data analysis skills.