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The Computational Science Ph.D. program aims to equip graduate students with comprehensive computational science knowledge while enabling specialization in scientific, mathematical, or engineering fields. Modern societal challenges often require collaborative solutions from diverse disciplines, making interdisciplinary-trained professionals crucial team members who can effectively communicate across specialties and grasp complex problems holistically. Traditional doctoral programs frequently 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 in transdisciplinary approaches.
Given computational science's interdisciplinary nature, student curricula demonstrate significant diversity. The Ph.D. program accommodates this through flexible course requirements, mandating three core computational science courses (Group A) that transcend disciplines, plus at least 12 credits in additional computational science courses (Group B) and 9 credits from computer science, engineering, mathematics, or applied science offerings (Group C).