Vrije Universiteit Amsterdam

Master in Economic And Financial Data Analysis With Python

Amsterdam, The Netherlands 1.5 years Taught in English Open to international students

Why students choose this program

  • Taught in English
  • Tuition 70% below the typical master's
  • No application fee

About Master in Economic And Financial Data Analysis With Python

Tuition fees are 3,795 USD per year.

The Vrije Universiteit Amsterdam School of Business and Economics offers this intensive training designed to elevate your ability to solve complex data challenges within the economic and financial sectors. This programme is specifically tailored for professionals who possess a strong interest in economics and finance but have little to no prior experience with programming. By bridging the gap between traditional financial analysis and modern computational techniques, participants gain the skills necessary to harness the power of Python for real-world applications.

Practical Skill Acquisition

The curriculum is highly interactive and practice-oriented. Rather than focusing solely on theoretical constructs, the programme immerses participants in hands-on coding challenges over two consecutive days. Students learn to utilize industry-standard tools such as Jupyter Notebooks, alongside essential Python packages including Numpy, Pandas, and Matplotlib. This approach ensures that learners walk away with a functional toolkit for statistical application and data science, directly applicable to their professional environments. Participants are expected to bring their own laptops to facilitate this immersive learning experience.

About Vrije Universiteit Amsterdam

Vrije Universiteit Amsterdam is a research-led university situated in the heart of Amsterdam, founded in 1880 and welcoming more than 31,700 students including a large international cohort. Its long history combines academic tradition with modern interdisciplinary teaching across social sciences, humanities, law, business, and sciences. English-taught bachelor and master programs make it accessible to international applicants seeking a high-quality European education in a dynamic urban setting.

The university emphasizes research excellence and societal impact, with numerous institutes and centers that connect students to real-world challenges. Small-group teaching, problem-based learning options, and close supervision at graduate level support academic growth. International students can take advantage of dedicated services for visa advice, housing support, language courses, and career guidance that ease transition and enhance employability in the Netherlands and beyond.

Student life blends campus facilities with Amsterdam cultural vitality, including museums, startups, and multinational companies that offer internships and networking. Affordable public transport and a bicycle-friendly environment make daily life straightforward while campus clubs and student associations help newcomers build a community. Prospective international students should research program entry requirements early, prepare application documents and funding plans, and reach out to the international office to plan arrival and accommodation.

This program's tuition is 70% below the typical master's in The Netherlands.

Median tuition for that cohort is 12,000 USD, across 2,227 programs on Global Admissions.

Compare The Netherlands master's programs

English Test Requirement

The programme is conducted in English; a professional working proficiency is expected.

Master in Economic And Financial Data Analysis With Python: Frequently Asked Questions

What are the fees for Master in Economic And Financial Data Analysis With Python?
Tuition: USD 3,795 per year.
Is Master in Economic And Financial Data Analysis With Python available online?
This is an on-campus program at Vrije Universiteit Amsterdam in Amsterdam.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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