COURSE CURRICULUM

The program is designed to equip students with strong analytical, technical, and problem-solving skills through a comprehensive set of learning outcomes and a well-structured curriculum. Students develop the ability to apply operations research models and methods to identify, formulate, and solve complex problems in engineering systems, while also using mathematical programming techniques to make informed decisions that consider societal, economic, and environmental impacts. The program emphasizes proficiency in scientific and computational tools, enabling students to manage uncertainty and predict system performance effectively. In addition, students gain expertise in performing descriptive, predictive, and prescriptive analytics using data-driven approaches and learn to communicate their findings clearly. By integrating concepts from mathematics, programming, and engineering, students are prepared to design and optimize systems, analyze trade-offs, and interpret results for real-world engineering applications.The curriculum supports these outcomes through a balanced combination of foundational and specialized courses. Students begin with mathematical background courses such as Linear Algebra and Applications and Introduction to Probabilistic Models, which provide essential theoretical knowledge. This is followed by core operations research courses, including Optimization Techniques and Stochastic Modeling and Applications, which focus on analytical methods for decision-making and system modeling. To incorporate modern computational approaches, students take a machine learning course that introduces key algorithms and data-driven techniques. The program also includes four elective courses, allowing students to explore areas such as artificial intelligence, machine learning, engineering management, and industrial engineering, tailoring their studies to individual interests and career goals. A key component of the program is the industrial capstone project, where students apply their knowledge to real-world problems in operations research and system analytics, gaining valuable hands-on experience. Overall, the curriculum ensures a strong blend of theory, application, and practical exposure, preparing graduates for advanced roles in data-driven and engineering-focused industries.