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The Computational Life Sciences (CLS) program is a cross-disciplinary graduate concentration available through affiliated departments, referred to as 'home departments,' at the master's level. These participating departments provide the Computational Life Sciences specialization:
Agronomy
Biological Sciences
Chemical Engineering
Computer Sciences
Computer Technology
Electrical and Computer Engineering
Statistics
This program enables students to earn a master's degree in a chosen science or engineering field while developing expertise in computational life sciences. Its goal is to equip students with proficiency in both computational methods and life science applications. These competencies prepare graduates for professional roles bridging computation, engineering, and life sciences, enhancing their ability to analyze biological systems. To complete the M.S. with this specialization, students must fulfill standard Statistics M.S. requirements plus a minimum of 10 CLS credit hours, achievable through introductory modules (5-week sessions), core CLS courses, and department-approved relevant coursework. Prospective undergraduates should demonstrate solid background knowledge in life sciences, engineering, statistics, and computing disciplines.