Data Science for Technology and Innovation Management with R


Data Science is an interdisciplinary science that deals with the extraction of knowledge from data. Data science generates information from large volumes of data in order to derive recommendations for action for corporate management. The aim of these recommendations is to improve the quality of business decisions and the efficiency of work processes. The field of Data Science deals with the analysis of (large) amounts of data, the detection of anomalies in the data as well as the prediction of future events.

R is a cost-free open-source software for all common operating systems, which has become a standard application for statistical data analysis and data science in recent years. Today, R plays a major role in both the commercial and scientific sectors due to its range of functions, flexible scripting language, and continued increase in popularity.

In this course, students will master the basics of this widely used open-source language, including factors, lists, and data frames. They will implement statistical methods in the software package R and apply these basics to real-life technology and innovation management data sets.

Prior knowledge of Data Science and R is not needed for this course.

General Information

This course takes place annually in the winter and summer semester. The course is in English.

Read further information about the seminar in the module description.

If you are interested in the course, please join the StudOn group for more information and updates.

Registration for the seminar is only possible at the information meeting. Location and date for the meeting will be announced via UnivIS and the website of the Chair, as well as further details for the application process.

Contact Person

Judith Schmauß

Project / Lab Manager

Chair of Technology Management