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Data Engineering

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 minor 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 a guru 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 minor

  • 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.

Content and program

Group assignments
  • Data quality research
  • Project data value chain part 1
Individuel assignment
explore actual DE topic

Group assignments
  • Data quality product
  • Project data value chain part 2
Individuel assignment
Create innovative DE solutions

The theoretical part consists of lectures / tutorials and workshops. The theory creates a framework for looking at the challenges in practice and offers practical tools / skills to get started.

During the practical part, you and your group will realize an entire data value chain for an organization. Of course, the interests and challenges per organization are very different and it is up to you to create the best solution for this.

Teaching programmes
Lectures/ seminars, workshops and company visits


Learning goals
In this minor we apply Data Engineering knowledge in an organization specific situation for a real life problem. The minor focusses on solutions with a prominent innovation factor.
The goal of this minor is to become familiar with various data processing techniques. After this minor, you can make choices in a well-founded manner on which technique suits your client's request so you can present data products convincingly.
Within the minor, various subprojects have been set up, in which you and your group are actively working on these learning objectives:
  1. You can offer a data collection solution.
  2. You can offer an (information) facts solution.
  3. You can offer an information diversion solution.
  4. You can offer a solution for information delivery.
For Minor Plus
  • An assignment that can be approached and developed from a multidisciplinary perspective (e.g. communication, design, interactive and technical (IT hard / software)
  • An assignment where the solution is not obvious or has been devised and determined in advance
  • Example of the structure team and time assignment within assignment:
    •  1 a 2 Communication students a +/- 12 hours per week
    •  1 to 2 CMD / CMGT a +/- 13 hours per week
    •  3 Informatica a +/- 21 hours per week
  • Total: +/- 100 hours per week (half of which is computer science)
  • Students can work at the company for at least 1 part per week and address people there in order to give the assignment a good form

Aanvullende informatie

Students from non-IT must have an interest in using data in their working environment and be willing to study (a part of) technical topics concerning data and to learn the technical jargon in the data field of expertise.


Regular minor:

  • Enrolled in a IT related bachelor program (e.g. and broad ICT bachelor)
  • Additional requirements:
  • Internship passed.
  • Minimum of 90 ECTS in the main phase of the curriculum
  • Working knowledge of relational databases and set theory.
  • Written motivation is approved
  • Given the workload of the minor, students should not have retakes or other obligation

For minor plus:

  • Enrolled in the Honours program
  • Interested in data as an asset to organisations
  • Internship passed.
  • Minimum of 90 ECTS in the main phase of the curriculum
  • Passed the motivation interview
  • Given the workload of the minor, students should not have retakes or other obligations.

For all international students:

  • All legal requirements for enrolment with HR are met.



• Project carousel presentation

• Project product (data value chain implementation) and portfolio


• Individual portfolio

• Research carousel


  • 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)


Mondays and Wednesdays or Fridays (to be determined). 
Mondays 13:00-17:00 and Wednesdays or Fridays from 10:00-16:00 h.