Data Science and Entrepreneurship (joint degree)
Merge management, entrepreneurship and business models with a profound knowledge on data science methods from mathematics, statistics and computer science. Learn to understand their limitations with regard to the law, regulations, and ethical considerations. Benefit from unique strengths of both Eindhoven University of Technology and Tilburg University.
Program and courses
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 have the capability to create, develop and market data technologies, conduct research, and present results in a clear, non-technical manner.
- 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.
Study at two universities
- Offering you the best of both worlds: a campus life in the heart of a bustling city, a place where students, researchers and industry join forces. Elective courses may require traveling to either Eindhoven or Tilburg.
- The compulsory part of the program will be held in the vibrant Mariënburg Campus, a former convent in the city of 's Hertogenbosch. The campus offers an intimate yet cosmopolitan setting for its international student community.
- We have created special on-campus spaces for business ventures and startups launched by students. It is here where students, researchers, startups and businesses interact to tackle important industry and societal issues.
Typical courses are:
- Data Integration and Architecture
- Data Mining
- Business Process Management
- Data Entrepreneurship
- Creative Thinking and Open Innovation
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 a multinational or manage your own data science company; finding new markets and opportunities with data. Within an organization, you are the one who translates a variety of issues into technical data insights and vice versa.
Application and admission
This Master's program starts:
At the end of August
Best preparatory programs:
Bachelor's degree in the field of mathematics, statistics, programming or business and entrepreneurship.
Tuition fees and scholarships
Interested in this Master's program?
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Study choice events
14:30 - 19:00
JADS Student Information Event
On Wednesday June 19, 2019 you will have the opportunity to get to know our (Pre-)Master's program Data Science & Entrepreneurship during a Student Information Event at the Mariënburg Campus in 's-Hertogenbosch.
To be announced
Trial lectures Master's programs Tilburg University
Are you interested in one or more Master's programs and do you want to experience what it is like to follow this program(s) at Tilburg University? Then follow a trial lecture! You can follow a regular lecture of the Master's program(s) of your choice in November and December, 2019.
10:00 - 14:45
Open Day Master's programs
The Open Day for Master's programs is on Saturday November 16, 2019. Get acquainted with our English taught Master's programs, get a taste of the atmosphere on our campus and speak with current students, lecturers and academic advisors.
Interested in the MSc Data Science and Entrepreneurship?
Check your eligibility and the deadlines for application