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Alongside theory and experimentation, computational methods play a crucial role in advancing scientific understanding and engineering applications. Acknowledging the increasing demand for professionals skilled in computational sciences, applied mathematics, statistics, and traditional disciplines like chemistry and physics, the Professional Science Master's (PSM) in High-Performance Computing for Scientific Applications is designed for STEM graduates who aim to utilize high-performance computing as their principal research tool across physical sciences, life sciences, and engineering fields.
The High-Performance Computing for Scientific Applications PSM core curriculum familiarizes students with high-performance computing system architectures, mathematical approaches used in such systems, parallel computation software tools, and computational techniques applied in scientific and engineering contexts. A unique aspect of this program is its dual focus on both the algorithmic foundations and technological aspects of high-performance computing as applied to scientific and engineering challenges. The curriculum highlights interdisciplinary methods, with a strong emphasis on hands-on applications and customized projects rather than purely theoretical study.