The Data Entrepreneurship in Action III (JM0200) course complements previous JADS entrepreneurship courses by combining two novel elements. First, in teams of two or three, students experience the first stages of the entrepreneurial process by actually building their own (data science) ventures from scratch. Second, the course also focuses on the specifics of entrepreneurial activity within existing companies. The relevance of the corporate entrepreneurship topic as part of the JMDS&E program arises from two main sources. On the one hand, existing firms are confronted with significant external turbulence in the form of fast-moving competitors, radically shifting customer preferences and macro-trends such as globalization, digitalization and mass-customization. Thus, in order to renew their business profile and remain competitive, it is necessary for established organizations to act entrepreneurial. Meanwhile, rooted in their past success, established organizations feature great opportunities, as well as significant challenges for entrepreneurial activities, many of which do not arise in the context of independent entrepreneurship. There is thus significant merit to considering the corporation as a special context for entrepreneurial activities. On the other hand, for students at JADS, knowledge on what it means to engage in entrepreneurial activity within an established firm is likely to come in handy at selecting a future career path.|
By the end of this course, students:
- Will know and understand the main concepts, methods, and theories in individual, corporate, and data entrepreneurship.
- Will be able to analyze, assess and support the business development and entrepreneurial processes of other entrepreneurs.
- Have built the foundation of their own new data science venture from scratch in the most relevant aspects.
- Will know and understand the specifics of entrepreneurship in the context of established firms, including the challenges of running a venture within an existing company.
- Are able to apply entrepreneurship knowledge to setting up and (preparing for) scaling a (corporate) venture.
The courses from the Data Science and Entrepreneurship program require specific prior knowledge. It is only possible to participate in this course if approved by the admission committee and if you are enrolled for the program.
Please note that this course will be taught in Mariënburg, ‘s-Hertogenbosch (JADS).
The course is divided into three modules:
Type of Instruction
- Module 1 concerns the groupwork-based experience of the entrepreneurial journey via building a (data science) venture from scratch in its relevant aspects. This module spans the duration of the whole course.
- Module 2 concerns the lectures, case workshops and coaching sessions that provide the theoretical and methodological underpinnings of entrepreneurship as a discipline, supporting the entrepreneurial journey of students. This module also spans the duration of the whole course.
- Module 3 concerns the specifics of entrepreneurship in the context of established corporations, including both the strategies of corporations in increasing entrepreneurial activity (top-down), and of intrapreneurs building a venture in the context of a corporation (bottom-up). The module spans the second part of the course (weeks 10-14). The module is a mix of theoretical perspectives and practical applications on corporate entrepreneurship, the latter being represented predominantly by case study challenges.
lectures, coaching sessions, case workshops, group work
Type of exams
The final grade consists of an individual component and a group component. The individual component consists of a case assignment, active participation in classes, intermediary pitches and peer-assessment within teams. The team-based evaluation consists of a final report and a final presentation grade.