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The Computational Science Ph.D. program aims to educate graduate students with broad computational science expertise while enabling specialization in scientific, mathematical, or engineering fields. Modern societal challenges often require collaborative solutions from diverse disciplines. Professionals educated in interdisciplinary settings become crucial team members, capable of effective communication and comprehensive problem understanding. Traditional doctoral programs typically maintain narrow specializations, limiting students' exposure to cross-disciplinary research connections. The Department of Scientific Computing (DSC) uniquely bridges applied mathematics, science, computer science, and engineering, positioning it to educate students across disciplinary boundaries.
Given computational science's interdisciplinary nature, student curricula may vary significantly. The Ph.D. program therefore offers flexible course requirements while maintaining core standards. All students complete three foundational computational science courses (Group A) that span multiple disciplines, plus at least 12 credits in additional computational science courses (Group B). They must also complete 9 credits from existing departmental offerings in computer science, engineering, mathematics, or applied sciences (Group C).