Data Science in Business and Entrepreneurship

Overview

Program and courses

In the Master Data Science in Business and Entrepreneurship , you cover all necessary disciplines to successfully apply data science in business and entrepreneurship in a responsible way. Data engineering is about designing systems handling the data infrastructure. Data analytics is about data science and AI models you run on the data. Since all models inevitably provide an output, interpreting, explaining, and interacting with this output is critical. That is why data-driven decision-making is needed. Data-driven business development is about translating the models into business impact, supported by law and ethics that the first four disciplines need to align with. 

Benefit from the combination of Tilburg University ’s business, legal and societal insights with the technological know-how of Eindhoven University of Technology:

• In almost all courses you apply Data Science techniques

• You can do more than one year of coursework in collaboration with businesses providing real-life data challenges 

• Study and work as part of a close-knit and interactive community of students, researchers and companies on Tilburg University's dedicated JADS (Jheronimus Academy of Data Science) campus in ‘s-Hertogenbosch

• Benefit from the support and encouragement by JADS Playground & SME Datalab when starting your own business
• Graduate with a diploma awarded by both Tilburg University and Eindhoven University of Technology.

Career prospects

As a graduate of the Data Science in Business and Entrepreneurship Master, you have excellent career opportunities. You possess a deep scientific understanding grounded in practical experience from working on real-life cases. Together with a valuable professional network, you will be fully equipped to enter the job market with an ever-growing number of data science and AI-related vacancies. Not only in the Netherlands but also worldwide.

Graduates of the Master Data Science in Business and Entrepreneurship work as data engineers, data scientists, data analysts, data entrepreneurs, data consultants, or PhD candidates.