Data-Driven Innovation

Key Facts:

Type: Lecture with exercise

Language: English

Cycle: Annually in the summer semester

Study programme: Master

Target group: Computer science, computer engineering and interested students from mechanical engineering and business administration

Aim of course:
The aim of the lecture is to provide a comprehensive overview of the challenges and solution approaches of data-driven innovation. Theoretical principles and concepts are introduced and exemplary practical applications are presented. The process is considered from data acquisition to possibilities for data evaluation to the development of innovative market services. The acquired knowledge is deepened and implemented in the exercises.

Target group:
The course is primarily aimed at students on the Master's degree programmes in Computer Science, Business Information Systems and Computer Engineering. However, students on the Master's degree programmes in Industrial Engineering and Management, Mechanical Engineering and Electrical Engineering are also invited to register for the lecture.

Digitalisation is changing the market services of tomorrow and the way in which they are developed. Traditional methods of strategic planning and system engineering leave potentials unutilised, while data-driven solutions capture these potentials. Against this backdrop, the lecture addresses the process from data collection and data analysis to the development of innovative market services.

Dates and registration deadlines:
Please refer to the PAUL campus management system for dates and registration deadlines.


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Mohammadhossein Chitsazzadeh

Advanced Systems Engineering / Heinz Nixdorf Institut

Business Engineering | Venture Clienting

Write email +49 5251 60-6517