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The Master of Science in Computational Mathematics, Science, and Engineering equips students with comprehensive understanding of core computational modeling and data science methods, along with specialized expertise in at least one practical application area. In today's world, computational approaches and tools are essential for tackling critical challenges across scientific, engineering, and numerous other disciplines. Understanding these computational techniques and their effective application has become vital for students pursuing careers in these areas. Additionally, strong collaboration between algorithm developers and field practitioners working on frontier problems can drive innovation and significantly accelerate scientific breakthroughs.