Master of Science in Econometrics and Operations Research
Apply quantitative analysis to solve real-world economic and management challenges in business, finance, and logistics.
Best for:Best for graduates with strong mathematical and statistical backgrounds seeking to apply quantitative methods to economic and business decision-making.
Overview
The Master of Science in Econometrics and Operations Research at Maastricht University equips students with advanced mathematical, statistical, and computational skills to address complex decision-making problems. This programme bridges economics, computer science, and statistics, enabling graduates to forecast economic trends, optimize production processes, and develop IT solutions for industries ranging from finance to logistics. Students engage with cutting-edge techniques to support decision-making for governments, financial institutions, and organizations. The curriculum emphasizes hands-on application, preparing graduates for careers in data-driven roles across diverse sectors.
What you'll do
- Develop and apply econometric models to analyze economic data and forecast trends.
- Design and implement operations research solutions to optimize production and logistics processes.
- Use statistical and computational techniques to solve complex problems in business and finance.
- Collaborate with industry partners to address real-world challenges in decision-making.
- Conduct research projects that integrate quantitative methods with economic theory.
- Develop IT solutions to support data-driven management and strategic planning.
Requirements
Degree required: Bachelor’s degree in Economics, Econometrics, Business Administration, Mathematics, Statistics, Computer Science, or a related quantitative field.
Degree offered: Master of Science (MSc)
Language: English proficiency (no specific test score mentioned)
Instruction: English
- Strong mathematical and statistical skills
- Proficiency in quantitative analysis and modeling
- Familiarity with econometric software (e.g., R, Stata, Python)
- Basic programming skills (e.g., Python, R, or similar)
- Ability to apply quantitative methods to real-world problems
- Open to international applicants
- No specific nationality or residency restrictions mentioned
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: 2027-05-01
Applicants must submit their application through the official Maastricht University portal. Required documents typically include a CV, motivation letter, academic transcripts, proof of English proficiency, and a portfolio or research proposal if applicable. Follow the instructions on the programme’s application page for detailed submission guidelines.
- CV
- Motivation letter
- Academic transcripts
- Proof of English proficiency
- Portfolio or research proposal (if required)
Contact
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