Kompetenzbereiche: Wissen und Verstehen; Einsatz, Anwendung und Erzeugung von Wissen; Kommunikation und Kooperation; Wissenschaftliches Selbstverständnis/Professionalität.
Students
- are able to translate a practically or academically relevant data science problem into a theoretical research framework.
- can familiarize themselves with the relevant research publications and possibly identify research gaps and are capable to provide a theoretical overview summarizing the current state of research.
- can identify and select the appropriate research methodology to address the chosen research question.
Students
- are able to professionally prepare and execute a project own their own, either in an academic or corporate environment, delivering the results in time.
- are able to apply their competencies to analyze, structure and solve complex problems, building on state of the art technologies and methods.
- are able to prepare a research paper in compliance with norms for academic and scholarly expression and for publication in the public domain.
Students
- are capable to organize themselves individually in an effective manner to set the right priorities and manage their resources to successfully meet the requested academic requirements.
- are capable to present and defend their research project in front of a qualified academic audience.
- respond to criticism in an open self-reflective constructive manner.
Students
- can apply the academic rules of conduct expected by a researcher to achieve an objective, valid, reliable and ethically justifiable research outcome.
- can conduct themselves in a professional and respectful manner in particular with respect to the time made available by their supervisor by being well prepared for meetings and request for appointments in writing with the questions and or issues to be addressed clearly laid out in advance.