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Graduate studies offer diverse possibilities aligned with faculty expertise, with over one hundred specialists across fourteen departments from the Colleges of Engineering, Arts and Sciences, Agriculture and Life Sciences, and the Samuel Curtis Johnson Graduate School of Management. Students can further broaden their education through minor subject selections. The Applied Mathematics program admits graduate students with strong mathematical backgrounds, primarily those pursuing a Ph.D., with approximately forty students typically completing the program in four to five years.
Visual data and sensor technologies play a growing role across scientific, medical, engineering, and various other disciplines, making computational techniques for analyzing and interpreting such data essential. Transforming raw, imperfect data into meaningful insights requires advanced mathematical approaches, including inverse problem-solving, optimization, predictive modeling, discrete algorithms, and sophisticated image analysis. At the Center for Applied Mathematics, scholars develop theoretically sound algorithms for these challenges, applying them to diverse real-world scenarios—from analyzing avian and insect flight patterns to enhancing medical imaging and reconstructing 3D models from vast online photo collections.