Research Master Business Data Science (MSc)

Vrije Universiteit Amsterdam the Netherlands

For more information about Research Master Business Data Science at Vrije Universiteit Amsterdam, please visit the webpage using the button above.

The award

How long you will study
2 Years

Domestic course fees
EUR 2209 per year

How you will study
find out

Course starts

International course fees
EUR 15900 per year

All study options

About Research Master Business Data Science at Vrije Universiteit Amsterdam

The Research Master Business Data Science is a multidisciplinary research program with a central focus on the performance of academic research.

The English-taught Research Master Business Data Science prepares talented and motivated students to enter high quality PhD programs in Business. It is a joint initiative of the Erasmus School of Economics of the Erasmus University Rotterdam (EUR), the Faculty of Economics and Business of the University of Amsterdam (UvA), and the School of Business and Economics of the Vrije Universiteit Amsterdam (VU).

This program is looking for students with strong analytical and quantitative skills.

Study options for this course

  • The award How you will study How long you will study Course starts Domestic course fees International course fees
  • The awardMScHow you will study find outHow long you will study2 years
    Course startsSeptemberDomestic course feesEUR 2209 per yearInternational course feesEUR 15900 per year

Entry requirements

Important note for applicants: We fully understand that you may encouter difficulties to complete your application package due to obstacles in Corona times. Our urgent advice is to submit what you have before the deadline. Please enclose a statement listing what is missing for what reason. In case you are not able to finish your bachelor program before September 1, please include a statement giving the reasons why you were not able to finish on time and how much work still needs to be done after September 1.

  • Undergraduate degree
  • Students must have at least a Bachelor's degree demonstrating strong analytical and quantitative skills. The Bachelor's program should have been completed before the start of the Research Master program.

  • GRE or GMAT test scores
  • Valid GMAT (Graduate Management Admission Test) and/or GRE (Graduate Record Examinations, General test) results are required from all applicants who are not holding a Dutch degree before the start of the program. Applicants with a GMAT score below 700 or a GRE Quantitative score below 160 will not be considered. Successful applicants typically rank among the top 10% of examinees on the quantitative section of the GMAT and GRE. Code number for the GRE is 3811 (shared with Tinbergen Institute). Code number for GMAT is QK8-4B-73 (shared with Erasmus School of Economics).

  • Language
  • An excellent command of English is crucial. Students whose native language is not English are therefore required to demonstrate English proficiency by:

    • holding a degree from a Dutch university or an institution at which English is the language of instruction, or
    • scoring at least 100 on the TOEFL iBT test or 7 on the IELTS test.

    We require that official test scores be sent to us directly from the GRE or TOEFL/IELTS organization or can be verified online by us. Use code number 3811 for TOEFL (code is shared with Tinbergen Institute).

    Note: Chinese nationals (unless already enrolled at a university in the Netherlands) have to meet the NUFFIC requirements before they can pursue their studies in the Netherlands. Also proficiency in English is assessed. See FAQs for more information.

  • Strong motivation
  • Students should be strongly motivated to pursue a PhD in (academic) research.. Such motivation will be assessed by a written Statement of Research Interests and Purpose of Study.

  • Recommendations
  • Two reference letters are required to support your application.

  • An interview may be part of the selection process
  • Other qualifications being equal, preference is given to candidates who show capacity for higher academic performance.

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