Master of Science (M.Sc.) in Operational Research Syllabus 2025: Subjects, Specializations, and Semester-wise Syllabus

Syllabus for Master of Science (M.Sc.) in Operational Research Course

The Master of Science (M.Sc.) in Operational Research program offers a comprehensive and specialized curriculum focused on the application of mathematical and analytical methods to solve complex decision-making problems in various fields. Typically spanning two academic years, the course syllabus covers a diverse range of subjects. Foundational courses often include topics such as Mathematical Programming, Linear and Nonlinear Optimization, and Probability Models, providing students with a strong theoretical foundation in operations research techniques. Students delve into areas like Stochastic Models, Simulation, and Network Analysis, where they learn practical approaches to model and analyze real-world problems. Advanced coursework may include topics such as Game Theory, Heuristics and Metaheuristics, and Operations Management, exploring specialized methodologies for tackling complex decision and optimization challenges. Moreover, students typically engage in hands-on experiences through case studies, and projects, and often conduct research projects or theses in areas such as supply chain optimization, transportation logistics, or healthcare management, allowing them to apply operational research techniques to real-world scenarios. Overall, the M.Sc. in Operational Research program equips students with the expertise needed for careers in operations research, management consulting, logistics, and various industries where mathematical modelling and optimization are essential for improving efficiency and making informed decisions.

1st Year OR 1st & 2nd Semester Syllabus of Master of Science (M.Sc.) Operational Research

2nd Year OR 3rd & 4th Semester Syllabus of Master of Science (M.Sc.) Operational Research