Deze opleiding

The Professional Doctorate in Engineering program Data Science is a two-year post-master's program. It qualifies its students to become top-level professional data scientists.


typetraineeship, 120 EC
taalvolledig Engels
opleidingsduur2 jaar duaal
Data Science is concerned with the problem of finding patterns and creating value from vast streams of data in the context of a data domain.

The main themes of the program are:
• Collect, explore, analyze, interpret, and present huge data sets
• Approach data and domain problems from multiple perspective
• Create value for organizations by designing novel data driven solutions

The program combines statistics, computer science, mathematics, and design theory with the business acumen to explore data sets, gather insights, visualize results, and communicate meaningful findings to stakeholders taking into consideration underlying ethical and legal aspects.

About PDEng
A PDEng program is a more industry-oriented alternative to a PhD trajectory. Whilst a PhD is focused on a career as an independent researcher, a PDEng prepares a trainee for an industrial career as a technological designer. Like a PhD candidate, a PDEng candidate has the status of TU/e employee after being selected for this program, and receives a salary and attractive benefits package.
Deze opleiding heeft meerdere vormen :

Waarom aan de TU Eindhoven?

The PDEng Data Science is a joint initiative of Eindhoven University of Technology, Tilburg University, and the Data Science Centre Eindhoven. Together they founded the unique Jheronimus Academy of Data Science (JADS). The academy is a thriving data science community, in which postgraduate education, innovation, entrepreneurial activities, lifelong learning, and scientific research are integrated.


taal van onderwijs100% en
The PDEng program Data Science qualifies its students to become top-level professionals, who are able to help industry and business with their innovative data science solutions. They aim for a career in a big data environment that truly leverages their academic experience and talents in the fast growing in-demand field of Data Science.
A Data Science graduate:

  1. Properly applies techniques from statistics, computer science, and mathematics in a variety of data domains.
  2. Shows curiosity with the desire to discover, distil, and model a problem down to a clear set of concepts and hypotheses to be tested.
  3. Uses data to tell a story and communicate that story effectively to stakeholders.
  4. Demonstrates cleverness to look at a problem in different creative ways.
  5. Collaborates in teams and with a variety of stakeholders to get optimal results.

Toelating en kosten

Inschatting maandelijkse studiekosten

bron: Nibud
280kamerhuur in Eindhovenrond het landelijk gemiddelde
172collegegeldop basis van € 2060 per jaar
80studieboeken en -spullen
77uiterlijkkleding, kapper, schoenen
132vrije tijdstappen, uit eten, vakantie
42vervoernaast de OV-kaart

€ 1148totale maandelijkse uitgaven landelijk gemiddelde is € 1181
Hiernaast staat een overzicht van de gemiddelde kosten die een uitwonende student heeft. Niet iedere student heeft met iedere kostenpost te maken. Het totaalgemiddelde is dus niet gelijk aan de optelsom van alle kostenposten.

Bekijk ook de uitgebreide toelichting: wat kost studeren?

Studenten en studentenleven


? studenten volgen deze opleiding
?% daarvan is vrouw
? eerstejaars gestart in
?% daarvan is vrouw
11372 studenten aan de Technische Universiteit Eindhoven
25% daarvan is vrouw
bron: HBO-raad/VSNU

Op kamers in Eindhoven

31781studenten studerend
12020studenten woonachtig   
€ 280gemiddelde kamerprijs
kamer betaalbaarheid
17 m2gemiddelde kameroppervlak
kamer beschikbaarheid
bron: Nationale Studenten Enquête

Na de studie

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More than 90% of the foreign graduates from the PDEng program Data Science find a first job in The Netherlands. Our alumni now work at companies like ASML, Unilever, Schiphol, KPN, Coolblue, and many more.

Beroepsperspectief / arbeidsmarkt

Leading companies, markets, and businesses in many fields are hiring big data infrastructure professionals at doctorate level to help them store, explore, process, access, visualize the terabytes of data that they collect daily. While the volume of data produced and stored grows exponentially, there is a severe shortage of talent to design data infrastructure and pipelines and to turn complex data into valuable business insights.


Studie Informatielijn
T: 040-247 4747
Meer informatie?
Bezoek de website van deze opleiding.