Econometrics and Operations Research: Quantitative Logistics (MSc)
Master the quantitative methods and optimization tools required to design and manage complex global supply chain processes.
Best for:Best for students with a strong mathematical background interested in applying optimization and computational methods to supply chain management.
Overview
The Quantitative Logistics specialization within the Master's in Operations Research at Vrije Universiteit Amsterdam focuses on the integration of supply chain processes in an interconnected global economy. Students gain expertise in sophisticated quantitative methods, optimization tools, and computational modeling necessary for effective supply chain management. The curriculum emphasizes a strong mathematical foundation, enabling participants to design, implement, and analyze novel solutions for practical logistics challenges. Graduates are prepared to communicate complex research findings effectively in both academic and professional business environments.
What you'll do
- Master a broad spectrum of mathematical models and solution methods for logistics.
- Design and analyze novel methods applicable to new supply chain situations.
- Apply operations research models to solve complex, real-world practical problems.
- Collaborate in teams with non-experts to implement supply chain solutions.
- Communicate research results effectively in academic and business settings.
Requirements
Degree required: Bachelor's degree in Econometrics, Operations Research, Mathematics, or a related quantitative field.
Degree offered: Master of Science
Language: English
Instruction: English
- Solid foundation in mathematics
- Proficiency in computational methods
- Ability to model complex logistics systems
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-04-01
Interested candidates should review the curriculum details and application requirements on the university's official master's programme portal. Applications must be submitted through the university's online system before the specified deadline.
- Academic transcripts
- CV
- Proof of English proficiency
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