Operations Research
The Master of Science in Operations Research provides an in depth study of analytical methods, optimization techniques, and decision making processes applicable to complex organizational problems. Students examine mathematical modeling, stochastic processes, simulation, and data driven strategies while developing skills to evaluate and improve operational performance. The program combines theoretical foundations with applied problem solving, helping learners develop analytical expertise in designing efficient solutions, optimizing resources, and supporting strategic decisions. Through coursework, projects, and computational exercises, students gain insight into techniques that enhance productivity, reduce risk, and improve decision making in various industries.
The program also emphasizes quantitative methods, practical applications, and professional development. Faculty mentorship, project based learning, and computational exercises allow students to build practical competence in optimization modeling, simulation, and operations analysis. Graduates are prepared to work in consulting firms, manufacturing companies, logistics organizations, financial institutions, and research centers, applying their skills to improve operational efficiency, analyze complex data, and support strategic planning. The curriculum ensures that students leave with both conceptual understanding and applied skills essential for careers in operations research and quantitative analysis.
Key information
Key Facts
- Program Title: Operations Research
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 February 2026
- Location: Columbia University, United States
- Field of Study: Operations Research
- Language of Instruction: English
Program Structure
Semester 1 Foundations in Operations Research
• Introduction to Operations Research
• Advanced Calculus and Linear Systems
• Methods of Mathematical Modeling
• Computational Techniques in Mathematics
Semester 2 Advanced Applications and Projects
• Stochastic Processes and Simulation
• Optimization Techniques and Decision Making
• Applied Project in Operations Research
• Seminar in Analytical Methods
Career Opportunities
Graduates of this program are prepared for careers in consulting firms, logistics organizations, financial institutions, and manufacturing companies, where expertise in operations research and analytical methods is essential. Alumni may work as operations analysts, data scientists, optimization specialists, management consultants, or project managers, applying analytical and quantitative skills to improve efficiency, support strategic decisions, and optimize organizational performance. The combination of applied research, mathematical modeling, and practical problem solving equips graduates to address complex operational challenges. Some graduates pursue doctoral studies in operations research, applied mathematics, or management science. Graduates leave ready to make impactful contributions to analytics driven industries.
Why Choose This Program
Students choose this degree for its combination of quantitative analysis and applied modeling, offering a curriculum that integrates mathematics, computational methods, and optimization techniques. The program emphasizes problem solving, project based learning, and practical applications, allowing learners to develop skills in analytical thinking, decision support, and resource optimization. Faculty mentorship, applied projects, and computational exercises support students in translating theory into practical solutions for operational challenges. For individuals seeking a graduate program that prepares them for careers in analytics, operations, and management, this degree provides a focused and highly relevant pathway.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States
