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Business Analytics, Master Degree, Vrije Universiteit Amsterdam

the Netherlands

Vrije Universiteit Amsterdam

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The award How you will study Study duration Course start Domestic course fees International course fees
Master DegreeFull-time2 yearsfind outfind outfind out

About Business Analytics, Master Degree - at Vrije Universiteit Amsterdam

Use data and algorithms to achieve business success

Are you keen to harness the power of data science, statistics and machine learning to optimise results and achieve strategic objectives? Ready to combine insights from mathematics, computer science and economics with highly developed communication skills? The Master's programme in Business Analytics will deepen your knowledge - making you key to the success of any organisation.

The programme has four tracks, giving you the opportunity to specialise in your own area of interest:

  • Optimisation of Business Processes
  • Computational Intelligence
  • Financial Risk Management
  • Research

You'll finish with a six-month internship at a company, which is often the first step to a thriving career.

Entry requirements

The Business Analytics programme is open to both Dutch and international students with a Bachelor's degree in the same or an equivalent field and who are in possession of sufficient mathematical and computer skills. Those who have a Bachelor's degree in Business Mathematics, Mathematics or Econometrics from a university or an institute of higher education will be admitted if approval of the Admission Board is obtained. The Faculty's Admission Board will decide upon your admission after having evaluated your complete online application.

In order to gain admission to the Business Analytics Master's programme, you will need to have at least a Bachelor's degree from an accredited research university including at least three full years of academic study amounting to a minimum of 180 ECTS or equivalent. We do not require a GRE or GMAT test score.

Specific requirements for the Business Analytics Master’s programme 

  • 90 ECTS or equivalent of Mathematics/Econometrics/Computer Science courses at the Bachelor's level, of which:
  • 45 ECTS or equivalent of Mathematics courses at the Bachelor's level, including a Probability Theory course (6 ECTS) and a Statistics course (6 ECTS), and
  • at least one course (6 ECTS) of programming in Java, Python, C++ or another formal programming language that covers the OOP paradigm

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