
Overview
The academy is a thriving data science community, in which postgraduate education, innovation, entrepreneurial activities, lifelong learning, and scientific research are integrated. A major part of the PDEng program Data Science is related to real-life, cross-functional projects with partners in the data science ecosystem. The academy is located in the city of 's Hertogenbosch, in the former convent Mariënburg.
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 Data Science programme at Eindhoven University of Technology (TU/e) 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.
A Data Science graduate:
- Properly applies techniques from statistics, computer science, and mathematics in a variety of data domains.
- Shows curiosity with the desire to discover, distill, and model a problem down to a clear set of concepts and hypotheses to be tested.
- Uses data to tell a story and communicate that story effectively to stakeholders.
- Demonstrates cleverness to look at a problem in different creative ways.
- Collaborates in teams and with a variety of stakeholders to get optimal results.
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Visit official programme websiteProgramme Structure
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
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Visit official programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
Language
Credits
Delivered
Disciplines
Informatics & Information Sciences Computer Sciences Data Science & Big DataExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
Other requirements
General requirements
- Candidates possess an academic master degree (MSc) in Mathematics, Statistics, Computer Science, or in a relevant application field of Data Science such as Econometrics and Bio-informatics. The MSc-degree is from an accredited institution comparable to the Eindhoven University of Technology or Tilburg University.
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Visit official programme websiteTuition Fee
Trainees do not have to pay tuition fees.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Updated in the last 6 months
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