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We aim to equip students with a robust grounding in contemporary computational and applied mathematics. Graduates of our program will be ready to either continue toward a PhD in CAM or related quantitative disciplines, or to enter professions requiring advanced mathematical skills like data science, computational imaging, engineering, and scientific computing. The curriculum covers core computational and applied mathematics topics including physics-driven modeling, data-driven modeling, and high-performance computing. Students will explore diverse real-world applications of their theoretical knowledge through the interdisciplinary research conducted by our CCAM faculty. The program fosters collaboration between students at all levels, integrating them into CCAM's vibrant academic community through research seminars, colloquia, and other scholarly activities.