- interesting elective modules, for example in Multi Cross Industry Innovation
- Study materials optionally printed and digital or digital only
- Study duration only 3-5 semesters part-time
- Enrollment possible at any time
These are the requirements for the Master Foresight Management
For the Master's degree program in Foresight Management via distance learning at Wilhelm Büchner Hochschule, there are specific admission requirements:
- An undergraduate degree in an engineering, natural sciences, business, information technology, or equivalent field is required. At least 210 ECTS credit points are necessary.
- Applicants with an existing diploma or master's degree can start the Master's in Foresight Management directly.
- If the applicant has less than 210 ECTS credit points, participation in a Pre-Master Certificate is required. These certificates offer additional qualifications and end with their own completion.
- For applicants who have completed a bachelor's degree in the regular period of 6 semesters, completing a Pre-Master Certificate is necessary before admission to the Master's program.
The available Pre-Master Certificates relevant to the Master's in Foresight Management cover topics such as digitization and transformation, agilization and digitization, as well as digital energy management and energy systems.

These are the study contents and the course of studies
The distance learning course "Foresight Management" at the Wilhelm Büchner University offers a solid education in various aspects of Foresight Management. The course includes basic modules such as Business Model Management, Patent Management, Technology Assessment, Trend Management, and Digital Transformation. In addition, core tools of technology foresight are taught, as well as focal points such as Sustainable Economics and Resource Management.
The course includes six applications that are deepened by mandatory and elective modules. These include Future Workshop@WBH, InnovationLab, In-Depth Tools of Technology Foresight, Product Development, Multi Cross-Industry Innovation, Responsible Innovation, In-Depth Patent and Intellectual Property Management, Digital Business Models & Data Science, Practice of Corporate Foresight, as well as Leadership and Competence Orientation in Foresight Management. The course concludes with a master's thesis including a colloquium.
The course is structured as follows:
- 1st Semester: Business Model Management, Patent Management, Technology Assessment, Core Tools of Technology Foresight, Future Workshop@WBH
- 2nd Semester: Trend Management, Sustainable Economics and Resource Management, Digital Transformation, InnovationLab, Elective Area
- 3rd Semester: Master's Thesis including Colloquium
In the elective area, you can choose from these modules: In-Depth Tools of Technology Foresight, Product Development, Multi Cross-Industry Innovation, Responsible Innovation, In-Depth Patent and IP Management, Digital Business Models & Data Science, Practice of Corporate Foresight, Leadership and Competence Orientation in Foresight Management.

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