In the internet era, data plays center stage. We all continuously communicate via social networks, we expect all information to be accessible online continuously, and the world economies thrive on data processing services where revenue is created by generating insights from raw data. These developments are enabled by a global data processing infrastructure, connecting the whole range from small company computer clusters to data centers run by the world-leading IT giants. In the Big Data Engineering track you study the technology from which these infrastructures are built, allowing you to design and operate solutions for processing, analyzing and managing large quantities of data. This track is part of the joint Master in Computer Science, in which renowned researchers from both VU and UvA contribute their varied expertise in one of the strongest Computer Science programmes available in Europe.
For detailed information on the courses of the Big Data Engineering track, please check our Study Guide. General info on the master's programme in Computer Science.
Adam Belloum: A.S.Z.Belloum@uva.nl.
This track is a joint degree programme of the University of Amsterdam and VU Amsterdam. Courses are given at the two Faculties of Science. Graduates receive a diploma accredited by both universities.
General information about VU Amsterdam
Please phone us at +31 (0)20 598 5000 (Monday – Friday, 10:00 to 12:00). You may also e-mail us at email@example.com.
Would you like to read the key points of the Master's programme? Or find out more about the Master's programmes and visit our information days.
LANGUAGE OF INSTRUCTION
1 April for EU/EEA and non-EU/EEA students*
1 June for holders of a Dutch bachelor’s degree (with a Dutch or EU/EEA nationality).
* EU/EEA students (exept for Dutch students) with an international degree who do not need housing services through VU Amsterdam can still apply until 1 June.
1 November for non-EU/EEA students
1 December for EU/EEA students
1 September and 1 February
FIELD OF INTEREST
Computer Science, Mathematics and Business