Students participating in a lecture

Program and courses Data Science and Entrepreneurship

Combine the technological know-how of Eindhoven with the business, legal and societal insights of Tilburg. This synergy ensures that we educate data science-driven entrepreneurs who are able to create, develop and market data technologies, conduct research, and present results in a clear, non-technical manner.

Program structure

This two-year joint degree consists of 120 credits (ECTS):

  • 11 Compulsory courses
  • Elective courses
  • A minor
  • Master’s thesis

You can only start at the end of August.

The study load of the individual courses is 6 ECTS, except for the Master’s thesis, which has a study load of 24 ECTS.
Each semester of the first year contains five courses of 6 ECTS. The second year contains five courses of 6 ECTS and the Master’s thesis of 24 ECTS.  Students choose a Minor which consists of two courses (6ECTS).
Next to the Minor students are asked to take three compulsory courses and one elective. The Master’s thesis takes place during the second year. 
Excellent Students are able to follow the Research Minor that consists of three courses. For those students a separate elective is not applicable.

Program content

Compulsory courses
Elective courses
Master's thesis

Programs are subject to change, so we advise our students to check their exact program in the education catalog at the official start of the academic year.

Short overview of Data Science and Entrepreneurship

  • Combine data science courses with courses that focus on entrepreneurship. Incorporate theories and concepts from legal and ethical aspects of business venturing, intellectual property, and ethical and privacy aspects of data.
  • Apply data entrepreneurship by building a technology startup, in which you and your team use data-driven methods to test the feasibility of an idea/innovation, build a data-intensive product/solution, propose sales channels and customers, and develop entrepreneurial skills.
  • Solve real issues with actual datasets from industrial partners. Representatives of these partners are actively involved and will work with our professors to coach the student teams.

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Interested in the MSc Data Science and Entrepreneurship?

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