Doctor of Philosophy in Mathematics in North America

View PhD Programs in Mathematics in North America 2019

Mathematics

The most popular doctorate is the Doctor of Philosophy or Ph.D. Ph.D.s and other study doctorates prepare graduate student to launch new plans that add to the common knowledge base of the field. Candidates for and holders of Ph.D.s often seek professions as professors and researchers, but many also go on to different roles in the charitable, public, and private sectors.

The subject of mathematics is often paired up with other subjects such as education, statistics, finance, and computer science. This pairing can give added value in the teaching, computer programming, and financial forecasting and planning fields.

From indigenous civilizations to modern day empires, North America has plenty of hands-on educational opportunities to offer scholars. Filled with a range of distinct cultures, students can educate themselves in well-rounded way.

View all Doctoral Programs in Mathematics in North America 2019

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Doctor of Philosophy (PhD) in Mathematical Sciences

College of Engineering and Mathematical Sciences
Campus Full time September 2019 USA Burlington

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... [+]

Doctor of Philosophy (Ph.D.) in Mathematical Sciences

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 appreciation of the mathematical techniques and the connections between theory and applications.

Department research interests include classical analysis, harmonic analysis, Fourier analysis, approximation theory, algebra, number theory, graph theory, combinatorics, fluid mechanics, biomathematics, differential equations, numerical analysis, and modeling.... [-]


Doctor of Philosophy in Theoretical and Computational Science

University of Lethbridge
Campus Full time 48 months September 2019 Canada Lethbridge

The Ph.D. program is a four-year program. The format for the degree consists of coursework and a thesis. The student must pass a written and an oral comprehensive examination within the first two years of the program. [+]

About

The Ph.D. program is a four-year program. The format for the degree consists of coursework and a thesis. The student must pass a written and an oral comprehensive examination within the first two years of the program.

The thesis is the most significant component of work towards the degree and involves original research. The first step for any prospective student is to select a potential supervisor and in consultation with the supervisor, organize a research plan including a possible thesis topic, before admission to the program. Faculty research interests are a critical factor in this preliminary decision.

The department is attempting to expand and strengthen its research activities and graduate students will play an important role in this endeavor. Almost all faculty members in the department receive external or internal funding to support their research programs.... [-]


PhD in Mathematical Modeling

Rochester Institute of Technology (RIT)
Campus Full time 3 years September 2019 USA Rochester

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. [+]

PhD in Mathematical Modeling

Program overview

Please Note: This program is currently recruiting its first class, which will begin in fall 2017.

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. Every mathematical modeling enterprise has four aspects: the content of the application field, the mathematical formulation and analysis, the analytical and computational methods (which often involve high-performance computing), and the interpretation and analysis of the results. Through extensive research, graduates of this program will have the expertise not only to use the tools of mathematical modeling in various application settings but also to contribute in creative and innovative ways to solve complex interdisciplinary problems and to communicate effectively with domain experts in various fields.... [-]