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With an emphasis on mathematical reasoning, mathematical modeling and computation, interdisciplinary, and the development of new methodology, the department’s doctoral program produces graduates with broad expertise, who have worked in cutting-edge advances in applied mathematics and statistics, and who are prepared to pursue careers in academia, industry, the public sector, and more.

Research and academic opportunities in the doctoral program cover a wide range of interconnected areas within applied mathematics that reflect the department faculty’s diverse scientific interests. These include:

  • Data Science with a focus on theoretical foundations, modeling techniques, and algorithm development.
  • Probability and statistics with a focus both on theory and applications, particularly related to machine learning.
  • Financial mathematics, as well as a concentration in optimization/operations research, which address discrete and continuous optimization problems.
  • Discrete mathematics, with a focus on combinatorics and graph theory.
  • Computational and applied mathematics, with a focus on the development of mathematical and numerical models for various applications in fluid dynamics, shape analysis and biomedical engineering.

Ph.D. Student Handbook

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Pursue a PhD with a focus on computational medicine

Doctoral candidates can focus their studies on computational medicine, through a partnership with JHU’s Institute for Computational Medicine, a collaboration between JHU’s School of Engineering and the renowned School of Medicine.