Econometrics and Operations Research

Become a quantitative problem-solver with the University of Groningen’s BSc in Econometrics and Operations Research (EOR). This three-year, full-time program equips you with a powerful combination of mathematical modeling, statistical analysis, and economic theory, preparing you for a successful career in various data-driven fields.

Develop a Strong Quantitative Foundation: Master core mathematical concepts, statistical methods, and econometric principles. Learn to leverage powerful software tools for data analysis, modeling, and visualization.

Explore Diverse Applications: Apply your quantitative skills to real-world problems across different areas, including:

• Econometrics: Analyze economic data to understand market behaviour, consumer trends, and economic forecasting.
• Operations Research: Design and optimize efficient systems for various industries (logistics, supply chain management, resource allocation).
• Actuarial Science: Apply mathematical and statistical models to assess risk in insurance and finance.
• Mathematical Economics: Combine economic theory with mathematical modeling to analyze complex economic phenomena.

Project-Based Learning: Develop your analytical and problem-solving skills through engaging projects. Work on real-world case studies, collaborate with professors on research projects, and gain valuable experience applying your knowledge to practical scenarios.

Specialization Opportunities: In the later years, choose a specialization to delve deeper into a specific area of EOR, such as Econometrics, Financial Mathematics, or Operations Research & Management Science.

Graduates emerge as versatile quantitative analysts with expertise in various areas, opening doors to diverse career paths, including:

• Econometrician: Analyze economic data and develop models to inform business decisions, government policies, and economic forecasting.
• Operations Research Analyst: Design and optimize systems to improve efficiency, reduce costs, and manage resources in various industries.
• Actuary: Assess risk and develop insurance products within the insurance and finance sectors.
• Quantitative Analyst/Risk Analyst: Apply mathematical and statistical models to analyze risks and make data-driven decisions in banking, investment firms, and other financial institutions.