Big Data, Data Science
Edu type:
Formele educatie
Master (EQF 7)
Start datum:
3345 uur
2 jaar
Meer informatie


The two-year Master's program Data Science and Entrepreneurship is a joint master by Tilburg University and Eindhoven University of Technology and therefore a truly interdisciplinary business-technology-analytics program. It is ideal for students eager to bring data science into effective use in business. This Master's program in data science is executed in the vibrant Marienburg data science campus in the city of 's-Hertogenbosch.


Taught in collaboration, the Master's program Data Science and Entrepreneurship synthesizes the unique key strengths of Eindhoven University of Technology and Tilburg University: 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 have the capability to create, develop and market data technologies, conduct research, and present results in a clear, non-technical manner.


During this Master's program in data science, you will be skilled in applying the data revolution to develop innovative, value-adding and sustainable business activities within existing corporations and startups. You will learn how to translate innovative, data driven ideas into concrete project requirements, develop technological solutions, launch a business venture and assess its effectiveness.


According to a Harvard study, the profession of Data Scientist is the ‘sexiest job’ of the 21st century. In other words: the skills that you will have as Data Scientist are in exceptionally high demand. The career opportunities are sheer endless. You can work as Data Scientist in multinationals or manage your own data science company: finding new markets and opportunities with data.

Within an organization, you are the one who translates questions into technical data insights and vice versa. Or you can work as a data consultant or analyst: from advising companies who want to know more about the purchasing behavior of their customers, to using big data to support police crime detection work, to helping healthcare institutes share global data to fight major diseases like Malaria.