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The Master of Science (M.S.) program in Applied Mathematics & Statistics, and Scientific Computation (AMSC) offers specialized training across three key areas: Applied Mathematics, Statistics, and Scientific Computation. This interdisciplinary program is designed to equip students with advanced quantitative skills and computational expertise applicable to a wide range of scientific and engineering fields. Students can choose between a thesis or non-thesis option, allowing for flexibility in their academic and research pursuits.
The Bachelor of Science in Artificial Intelligence: Computational Structures for AI Systems (BSAI) is a technical program focused on building AI systems and algorithms from the ground up. You will learn to understand model training from both a data and systems perspective, and apply these techniques to various fields. The first two years build a strong foundation in programming, statistical learning theory, symbolic reasoning, and optimization. The subsequent two years focus on deploying these techniques in interdisciplinary applications, enabling you to create state-of-the-art AI systems and critically evaluate their ethical implications.