Applied mathematics is the study of mathematical and computational methods for solving problems in science and engineering. Over the last several decades, the tools of applied mathematics have dramatically expanded the boundaries of scientific inquiry. It is becoming increasingly important to exploit the full power of mathematical and computational analysis to address the grand challenge problems facing society in areas including energy, climate, environmental sustainability, materials, finance and economics, biophysics and healthcare, and beyond.

The Integrated Applied Mathematics (IAM) Program at the University of New Hampshire (UNH) is a unique inter-departmental graduate program designed to facilitate interdisciplinary research by preparing highly motivated and capable students to become experts in mathematical and computational problem solving. The IAM Program draws its faculty from the nine departments within the UNH College of Engineering and Physical Sciences (CEPS) and thus is inherently interdisciplinary. The Program gives students the opportunity to explore the frontier where the sciences meet cutting-edge mathematical analysis and high-performance computing. Current areas of mathematical and scientific focus include (but are not limited to): applied nonlinear (asymptotic, variational) analysis of ODEs and PDEs; high-dimensional dynamical systems and bifurcation theory; numerical algorithms for PDEs; machine learning and optimization theory; fluid dynamics; biophysics; materials and solid mechanics; space and plasma physics; and mathematical geo- and environmental science. Graduates of the program acquire the skills and training needed to enter numerous professions, including careers in research, education, and industry.


The IAM Program offers a unique curriculum emphasizing advanced applied mathematical methods and high-performance computing. A Ph.D. candidate in IAM is expected to develop expertise in both applied and computational mathematics as well as one area of specialization (e.g., fluid dynamics, plasma physics and space physics, geoscience, dynamical systems, biophysics, etc.).


UNH hosts a state-of-the-art CRAY CS500 supercomputer with over 3000 compute cores and over 12 terabytes of memory. This supercomputer supports multiple projects involving IAM students and faculty.

Admission and Financial Support

Graduate students are admitted to the IAM program with a variety of backgrounds. The expectation is that a student entering the program will have a B.S. or M.S. degree in a technical field such as a mathematics, science, or an engineering discipline. Students with a M.S. degree in a technical field are particularly well suited for admission to the IAM Program. Students have been supported through Teaching Assistantships, CEPS Fellowships, and Research Assistantships funded by federal grants.