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Data Engineering

Exchange programme

Do you ever wonder how companies get all this information about you? And how reliable this information is and what can be done with data? Are you not afraid to dive deep in to the data matter with several experts? Then the Data Engineering programme is for you. You will research which data models can be used and how to use them. You will explore the ethical, technical and business issues of data. You will discover how to creatively and robustly apply Data Engineering while purpose and target groups of your products will be key.

Next to extensive participation of organisations, theories will be presented about the workings of data transformation techniques and you have the opportunity to use the latest technologies next to working on your research skills. Every week an expert in the field will provide a workshop because the world of digital development and users doesn’t stop. We zoom in on issues that will connect with your previous knowledge and interests and will fit with the project your group chooses. With current cases we will provide a motivating enrichment of your study and possibly the start of a promising career in the data field.

Examples of projects in the programme

  • Combine weather data with pricing data and create a data value chain that can set pricing based on a pricing algorithm the customer already has and the long term weather predictions for a region.
  • Create an interactive knowledge platform for the full scale data architects and integrate already available knowledge in it.
  • Use data collected in trains to create a service to customers that will help them find the doors to the best available seat on their train based on their current location and time and analyse the usage of this service.
  • Use data collected in trains to predict service necessities to prevent delays due to technical errors.
  • Help a primary school group to utilise their data more efficiently.
  • Talks with other possible companies and organisations are still in progress.

Facts and figures

The programme at a glance

Programme structure

A view of the study programme


The programme spans throughout first semester and will include the following themes:

  • Human computer interaction
  • Introduction to programming (for who needs it)
  • Design life cycle
  • Rapid prototyping in software (with various technologies and frameworks, ex.: processing, python, vvvv etc.)
  • Rapid functional mock-up production for tangible user interfaces (with Arduino and smart materials)
  • User experiments methodologies

In the first period we will focus on more generic topic to help define the problems and the solutions, gradually giving more workshops and details to implement the solutions later into the course.

Learning goals
The student will learn the following by the end of this course:

Knowledge and insight: The student will be able to research current design issues of interactive tangible interfaces. Furthermore, the students acquire knowledge and insight in relation to one or more topics in the HCI domain that fit the themes of this programme.

Apply knowledge and insight: Through a demonstration the students show their ability to make the transfer from technical knowledge acquired earlier in the course to a new application domain (tangible user interfaces) and a design to realize innovative solutions.

Judgement: The student will study an HCI problem by researching and analysing the problem with all the related components and chosen aspects based on their own choice on the (real-life) problem and the degree of priority and attention to explore such aspect, to test and verify.

ommunication: The students will have to communicate effectively in the group environment. The students will be able to convincingly present their own innovative solution, e.g. through an elevator pitch or short demo, so that the audience of experts not only gains substantive insight into the technology and the important aspects of the solution, but will be also willing to continue developing this solution in a follow-up iteration.

Learning skills: The student will have to demonstrate initiative and autonomy by studying the research independently in the application domain.


The mandatory literature for this programme is:

  • The New Oil: Using Innovative Business Models to turn Data Into Profit, Arent van 't Spijker, Technics Publications; First edition (July 1, 2014) ISBN-13: 978-1935504825 (ebook)
  • Agile Data Warehouse Design, Lawrence Corr, DecisionOnePress, ISBN 9780956817204 (or
  • Designing Data-Intensive Applications, Martin Kleppmann, O’Reilly, Print ISBN: 9781449373320 (1449373321) or Ebook ISBN: 9781491903100 (1491903104) (Third release, 2018)


This programme does not have separate modules of different ECTS that have a combined total of 30 ECTS. The 30 ECTS are awarded in full at the end of the programme. In order for the students to obtain the learning goals and to monitor progress the students are required to have an active role in the following four factors:


Where you can find us
Foto van locatie Location

Wijnhaven 107

Wijnhaven 107 3011 WN

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