Master of Science in Economics and Data Analysis
A quantitative master’s programme blending microeconomics, macroeconomics, and econometrics with cutting-edge data analysis tools.
Best for:Best for students with a strong quantitative background seeking to specialize in economics and data analysis, particularly those interested in applying machine learning and big data techniques to societal challenges.
Overview
This Master of Science programme at Utrecht University equips students with a robust theoretical foundation in economics and econometrics, while integrating modern data analysis techniques such as machine learning. The curriculum addresses pressing global challenges like climate change, technological transitions, inequality, and migration by leveraging big data from companies and governments. Students develop advanced quantitative skills and apply them to real-world case studies, preparing them for careers in policy, research, or industry. The programme emphasizes both theoretical rigor and practical application, ensuring graduates are well-prepared for data-driven decision-making roles.
What you'll do
- Develop advanced quantitative and data-analytical skills through coursework and hands-on projects.
- Apply econometric theories and machine learning techniques to real-world economic and societal challenges.
- Conduct independent research on topics such as climate change, inequality, migration, or technological transitions.
- Collaborate with faculty and peers to analyze big data sets from companies and governments.
- Develop the ability to design innovative solutions based on data-driven insights.
- Engage in applied research projects that address global economic and societal issues.
Requirements
Degree required: Bachelor’s degree in Economics, Econometrics, Data Science, or a related quantitative field.
Degree offered: Master of Science (MSc)
Language: English; IELTS 6.5 overall band or equivalent (Cambridge Certificate in Advanced English 176+, Cambridge Certificate of Proficiency in English 180+, TOEFL iBT 93+)
Instruction: English
- Strong quantitative and analytical skills
- Familiarity with econometric methods and statistical analysis
- Basic programming skills (e.g., Python, R, or Stata)
- Ability to work with large datasets
- No specific nationality or residency restrictions
- No age restrictions
- No prior experience caps
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Prerequisites
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- Tuition
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How to apply
Deadline: 2027-04-01
Applicants must submit their application through the official Utrecht University portal. Required documents include a CV, a letter of motivation, academic transcripts, proof of English proficiency, and a statement of purpose. Additional documents may be requested depending on the applicant’s background.
- CV
- Letter of motivation
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (IELTS, TOEFL, or equivalent)
- Statement of purpose
- Passport-sized photo (if required)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.