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The Master of Science in Operations Research equips students with skills to create and analyze mathematical and computational system models through optimization and statistical approaches.
This curriculum aims to educate learners in fundamental operations research principles and their practical implementation in solving real-world challenges. Upon completion, graduates will possess enhanced analytical capabilities to address intricate, large-scale optimization issues encompassing both deterministic and probabilistic scenarios. The degree mandates completion of eight 4-credit graduate-level courses. Prior academic work will be assessed to identify subject mastery, allowing for customized study plans. Certain cases may necessitate an evaluation exam to verify content understanding. No single course can fulfill both a core requirement and an elective simultaneously. For graduation, students must maintain a minimum 3.000 GPA (equivalent to a B average). Selected courses for this program may be available through either the College of Engineering or the College of Computer and Information Science.