Applied math

We welcome you to the exciting world of applied mathematics!

Since it was started in 1976, the Interdisciplinary Program in Applied Mathematics at the University of Arizona has grown in size and stature and is now a highly regarded interdisciplinary graduate program, both nationally and internationally. The great strength of the Program lies in its large body of distinguished faculty who come from many different academic disciplines in the mathematical, physical, biological, and engineering sciences. The breadth and depth of endeavor has created a vital and exciting environment in which to work.

By coming to Tucson you are opening yourself up for many opportunities:

  • to feel the balance of theory, methods and algorithms in our core courses;
  • to become involved  in research and teaching of modern applied mathematics from your first day on campus; 
  • to take specialized courses according to your interests and desires - in dynamical systems, complexity theory, bio-informatics, numerical analysis, machine learning, statistical mechanics or data science - as you need it in your research;
  • to get hands-on experience in research internships with many of our industrial and government lab partners; 
  • to choose an adviser from more than 100 professors teaching and advancing many areas of natural, engineering and social  sciences through mathematics;
  • to follow, understand and change boundaries of modern applied mathematics through your research work and teaching;
  • to be well-positioned by the time of your graduation for many career options in academia, high-tech industry and national labs. 

If you are a potential graduate student interested in obtaining a PhD and/or MS, or Certificate in Applied Mathematics, I hope you will find this information useful and stimulating. 

Click here to Request More Info, watch a Video about the Program, and here to Apply to the Program.

Michael Chertkov
Chair, Program in Applied Mathematics

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Congratulations Misha Chertkov, AAAS Fellow!

Congratulations to Misha Chertkov for recently being named AAAS Fellow!

Following a tradition that began in 1874, the American Association for the Advancement of Science Council elects a new class of scientists, engineers and innovators as AAAS Fellows each year in recognition of scientific and social achievements.

The new class of 506 fellows was announced on January 31, 2023. As one of only five UofA recipients, Professor Michael “Misha” Chertkov is being recognized for "using methods of statistical physics to make profound contributions to our understanding of diverse systems, such as the power grid, machine learning and turbulence."

The new Fellows will receive a certificate and a gold and blue rosette pin (representing science and engineering, respectively) to commemorate their election and will be celebrated in Washington, D.C., in summer 2023.

Alumni Spotlight: Congratulations Michael Shelley!

Congratulations Michael Shelley, (PhD 1985), Alumni, Program in Applied Mathematics was elected to the National Academy of Sciences on May 3, 2022, in recognition of distinguished and continuing achievement in original research.

Michael Shelley of the Courant Institute of NYU has been elected to the National Academy of Sciences for outstanding contributions, biophysics, and fluid dynamics.

Michael J. Shelley, Director, Center Computational Biology Flatiron Institute, Simons Foundation, Professor of Applied Mathematics, Courant Institute of Mathematical Sciences, New York University

Michael J. Shelley, Director, Center Computational Biology Flatiron Institute, Simons Foundation, Professor of Applied Mathematics, Courant Institute of Mathematical Sciences, New York University

On my work these days: I work mostly on self-organization in cell biology and active matter systems.

How do structures form in the cell from the interactions of many molecular constituents; How do these subcellular structures do important things like move and position genetic material during cell division, etc. This involves development of numerical methods for many-body interactions, coarse-graining methods for such programs, mathematical analysis, and large scale simulation and inference.