Master of Science in Economics: Market Analytics
Explore the intersection of economics, data science, and policy with a specialized focus on market behavior and competition.
Best for:Best for economics graduates with a strong interest in data science, policy analysis, and market behavior who seek careers in regulatory bodies, financial sectors, or tech-driven industries.
Overview
This Master of Science specialization in Market Analytics at Vrije Universiteit Amsterdam combines theoretical microeconomics with cutting-edge data-driven methods. Students examine firm behavior, pricing strategies, and innovation while evaluating public policy effectiveness through big data and machine learning. The curriculum integrates econometrics, industrial organization, and competition policy, preparing graduates for careers in market authorities, financial firms, or tech companies. Thesis projects can be theoretical or empirical, addressing topics like firm behavior or policy impact. The program emphasizes practical applications, such as analyzing market dynamics and assessing regulatory interventions.
What you'll do
- Study theoretical concepts related to market power, competition, and firm behavior using microeconomic techniques.
- Apply econometric methods to analyze real-world market data and evaluate public policy effectiveness.
- Develop skills in big data and machine learning to analyze firm processes and market dynamics.
- Complete a research project focusing on either theoretical or empirical aspects of market behavior or policy.
- Engage in coursework covering advanced microeconomics, econometrics, macroeconomics, and data analytics for economists.
- Conduct independent thesis research under faculty supervision, culminating in a written thesis and presentation.
Requirements
Degree required: Bachelor of Science in Economics or a related field (e.g., Business Administration, Data Science, or Social Sciences).
Degree offered: Master of Science (MSc)
Language: English; proficiency sufficient for academic study and research.
Instruction: English
- Strong quantitative and analytical skills, including proficiency in statistical analysis and econometrics.
- Basic programming skills (e.g., R, Python, or Stata) for data analysis.
- Familiarity with microeconomic theory and market behavior principles.
- Ability to work with large datasets and apply machine learning techniques.
- Open to international applicants; no specific nationality restrictions.
- No age restrictions.
- No prior work experience required.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-04-01
Applicants must submit their application through the official Vrije Universiteit Amsterdam portal. Required documents include a CV, a motivation letter, academic transcripts, proof of English proficiency, and a research proposal or statement of purpose. Some programs may require additional materials such as letters of recommendation.
- CV
- Motivation letter
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (e.g., IELTS, TOEFL)
- Research proposal or statement of purpose
- Letters of recommendation (if required)
Contact
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