University of Amsterdam (UvA)
Bachelor of Science
On Campus
University of Amsterdam (UvA)
University of Amsterdam (UvA)
Amsterdam
Netherlands

Econometrics and Data Science

The pairing in the title is the part to examine closely. Econometrics supplies the statistical modeling and inference used to test economic relationships; the data science half adds programming, machine learning and work with large datasets. Applicants need to be comfortable with mathematics and with writing code, not only with economics — programming appears in the first year and continues through the degree.

That combination shapes where the degree leads. Graduates are directed toward data analyst, statistician and economic consultant roles in government, in finance and in private-sector organizations built around data-driven decision making, a wider field than an economics degree alone opens. Anyone who wants economics primarily as a social science, with less weight on estimation and computation, will find the balance here tilted firmly toward quantitative method. It is a three-year on-campus program delivered in English.

About

The Bachelor of Science in Econometrics and Data Science is a three-year, full-time on-campus program that focuses on the application of statistical methods, mathematics, and data science techniques to solve economic problems. The program combines econometrics, data analysis, machine learning, and programming to equip students with the skills to analyze large datasets and make informed decisions in the fields of economics and business.

Graduates will be well-prepared for careers in data science, economic modeling, financial analysis, and consulting. The University of Amsterdam (UvA) offers a solid foundation in both econometrics and data science, with access to expert faculty, real-world case studies, and hands-on projects, ensuring students are well-equipped for the data-driven economy.

Key Facts

Program Details
Degree: Bachelor of Science
Location: Amsterdam, Netherlands
Academic Information
Area of study: Econometrics
Study Format
Study Type: On Campus
Format: Full-time
Language
-

Program Structure

Year 1 – Foundations in Econometrics and Data Science

  • Introduction to Economics and Data Science
  • Statistical Methods and Data Analysis
  • Microeconomics and Macroeconomics
  • Programming for Econometrics

Year 2 – Advanced Econometrics and Data Science

  • Econometrics and Forecasting
  • Applied Data Science in Economics
  • Advanced Statistical Modeling
  • Research Methods in Econometrics

Year 3 – Applied Econometrics and Data Science

  • Data Science and Machine Learning
  • Economic Policy Analysis
  • Big Data Analytics
  • Research Project in Econometrics

Career Opportunities

Graduates of the Econometrics and Data Science Bachelor’s program can work in data analytics, economic modeling, and statistical analysis. With expertise in econometric methods and data science techniques, graduates can pursue careers as data analysts, statisticians, or economic consultants. This program provides opportunities in finance, government, and private-sector organizations focusing on data-driven decision-making.

Why Choose This Program

The Econometrics and Data Science Bachelor’s program equips students with the skills to analyze economic data and develop models for predictive analysis. Students learn how to use statistical methods and data science techniques to solve economic problems. The program’s emphasis on both econometrics and data science ensures that graduates are well-prepared to enter a rapidly growing field, with strong job prospects in data analytics and economic consulting. Graduates are well-equipped to provide valuable insights into economic data and drive informed decision-making processes.

Contact Information

For further information, please contact the admissions office at:
Phone: +31 (0)20 525 1400
Email: info@uva.nl
Address: University of Amsterdam (UvA), Spui 21, 1012 WX Amsterdam, Netherlands

Interesting programmes for you
Duration
-
Tuition fee
$16,140.00/year
Location
Amsterdam, Netherlands
View on map
Apply Now
Add to Wishlist