Within the framework of the Master in Data Science and Entrepreneurship at JADS, this course provides the necessary academic skills to support an informed and well trained professional figure that can operate in the entrepreneurial/business/consultancy job market. It is designed to educate young people to become critical, independent thinkers who know how to act responsibly in an entrepreneurial/business environment by combining an applied approach to a theory-based learning strategy. |
- Students are trained to be experts in data analysis to solve business problems and analyze business-related situations. They are required to work with real companies (from now called clients) that commission data analysis tasks to them.
- The course aims to support the development of students' natural talents to become reliable experts in the field able to communicate with clients and deliver appropriate solutions successfully.
- This course conveys the employment of previous knowledge acquired in their academic career to provide targeted solutions in agreement with the client's requests.
- The course is interdisciplinary by nature. Students will employ their knowledge and skills to contribute to social innovation.
- The course trains students to operate within a society where soft skills as networking are crucial for achieving the intended impact.
- The course promotes students' creativity and innovative thinking to provide a targeted solution that addresses the clients' needs.
- Companies that collaborate with the course challenge students with topical issues in society. The course provides the students with the necessary theoretical and practical support to achieve the intended goals successfully.
- Students are requested to develop data-driven intellectual independence. They need to choose the appropriate data analysis method to address the clients' problems. They also need to analyze complex information to provide creative and relevant solutions in agreement with their personal view of the problem.
- In order to consult their clients appropriately, students need to keep a critical mindset, questioning the ideas, assumptions, and beliefs of others and reflect on the backgrounds of their own ideas, assumptions, and beliefs.
- Students learn how to be professionally honest and socially committed. They make conscious choices, as professionals and (world) citizens, considering the consequences of these choices for their clients, third parties, and society.
- Students must follow all good and ethically responsible scientific research rules, including an appropriate accreditation for the work (academic or applied) developed by third parties.
- Students are asked to free their enterprising thinking by the initiative to operate successfully, in a context in which they need to understand what is expected of them by the clients and the course's requirements.
After successful completion of this course, the student will be able to
- Investigate the context in which the clients operate and the condition that generated the client's problem(s)
- Design a strategy to address the problem(s)
- Identify appropriate data analysis strategies tailored to the problem(s)
- Explain the reasons why their proposed solutions address the problem(s)
- Carry out appropriate data analysis to instruct the solution for the problems presented by the client (Advice/Consultancy)
- Illustrate the core points of their advice to make it clear to the client and the audience (class)
- Review the findings and organically deliver the solution(s) to the client
- Illustrate the advisor-client communication and reflect on how it influenced the solution delivery.
Data Entrepreneurship in Action Series
This course is the second of a series of subsequent courses on Data Entrepreneurship in Action. The purpose of the series is to provide students with the ability to initiate and further develop data-driven new business development processes by going through the whole data cycle, developing tangible results. The aim is to confront students with all aspects of Data Entrepreneurship and challenge them to find their way, balancing analytics, business, entrepreneurship, law, ethics, etc.
In each course, all aspects are addressed, but with a variation on focus and depth. For instance, from an entrepreneurship aspect, we can see growth from a raw idea to a well-developed business plan, including an analysis of the market, competitors, phasing, resources needed, etc. Different application domains are also addressed to make students aware of the varying demands and issues of these.
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). For more information, contact the Program Coordinator (via email@example.com)