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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. Today's critical societal challenges often require collaborative solutions from diverse disciplines. Professionals educated in interdisciplinary settings become crucial team members, capable of effective communication and holistic problem understanding. 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 may vary significantly. The Ph.D. program therefore offers substantial flexibility in course requirements. All students complete three core computational science courses (Group A) that span multiple disciplines, plus at least 12 credits in additional computational science courses (Group B). They also take 9 credits from existing computer science, engineering, mathematics, or applied science department offerings (Group C).