Cost & earnings at University of Alabama What students borrow here, and what they go on to earn
Applied Mathematics graduates earn a median $54,463 Across 313 US programmes, two years after finishing
See the degree grade →The PhD in Applied Mathematics at the University of Alabama is a research-focused doctorate designed for students who want to develop advanced mathematical tools and computational methods to solve real-world problems across science, engineering and data-driven disciplines. It suits candidates with a strong mathematical background who are aiming for careers in academic research, industry R&D, national laboratories or advanced quantitative roles in the private sector.
The PhD in Applied Mathematics combines rigorous coursework, comprehensive examinations and an original research dissertation. Early in the programme you will take advanced core courses in areas such as real and functional analysis, partial differential equations, numerical analysis, and scientific computing. You will then select specialised electives related to your research focus — for example, mathematical modelling, fluid dynamics, optimisation, stochastic processes, computational methods for inverse problems, data assimilation, machine learning for scientific computing, or mathematical biology.
Research training emphasises the formulation and analysis of models, numerical algorithm development, and high-performance computing. Students work closely with a faculty advisor and research group and are expected to present at seminars and conferences. The degree requirements typically include qualifying or candidacy examinations, a written dissertation proposal, and the production and defence of a PhD dissertation based on original research.
Graduates from a PhD in Applied Mathematics go on to a wide range of careers. Many pursue academic positions in mathematics or related departments, while others move into postdoctoral research to deepen specialised expertise. In industry, graduates are in demand for roles in R&D, quantitative modelling, data science, computational engineering, software development for scientific applications, and financial modelling.
Applied mathematicians are also employed by national laboratories and government agencies working on problems in climate modelling, defence, energy, and public health, and by private-sector firms developing optimisation and simulation tools. The programme’s emphasis on computation and interdisciplinary collaboration prepares graduates for positions that require both deep theoretical understanding and practical algorithmic implementation.
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