The Master’s program in Data Science and Entrepreneurship combines management, entrepreneurship and business models with deep knowledge on data science methods from mathematics, statistics and computer science; understanding their limitations with regard to the law, regulations, and ethical considerations.
Why the Master's program in Data Science and Entrepreneurship?
Are you interested in deploying the potential power of big data to solve real-world problems? Is it a challenge for you to work with complex, structured and unstructured data? Do you like to transform innovative data-centered concepts and ideas into concrete novel and value-adding products and services? And to design business initiatives?
Data science entrepreneurs are able to monetize the flood of data that is generated in this digital age by exploiting the economic value of personal data, developing novel ways to get actionable insights from data streams and exploring novel marketing models. They will typically start up and/or innovate within data based product companies.
Therefore, in this English Master's program you will:
- Combine data science courses with courses that address the entrepreneurship pillar of the program
Examples of courses are: data integration and architecture, data mining, business process management, data entrepreneurship, and creative thinking and open innovation.
- Incorporate theories and concepts from legal and ethical aspects of business venturing, intellectual property, and ethical and privacy aspects of data.
- Apply data entrepreneurship in building a technology startup
The backbone of the program is formed by a series of courses called Data Entrepreneurship in Action (1-3). In these courses, student teams 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 in building a technology startup.
- Solve actual problems with real datasets from industrial partners
Representatives from the industrial partners will share actual problems and datasets in two or three applications domains from which student teams can choose. As 'clients' of the teams, the industrial representatives will actively work with our professors to coach the student teams.
This program is not yet registered in the Netherlands Central Register of Higher Education Study Programs (CROHO). A proposal for initial accreditation will be submitted to the Accreditation Organisation of the Netherlands and Flanders (NVAO). This procedure might take up to six months and there is no guarantee of a positive decision by the NVAO. Only after accreditation by the NVAO and subsequent CROHO registration can this program be started up.
For more information about accreditation, please visit http://www.nvao.com
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