Major field of study

The courses in the Business Applications specialisation teach current competences in the areas of key figure-oriented business management, data warehousing and the application of machine learning algorithms in a business context.

Leading and widely used analysis tools from Microsoft are used here as well as the free open-source solutions R, Python, Jupyter and Tensorflow.

The job market in Germany and worldwide is desperately looking for data scientists with this competence profile.

Study structure

The courses of the specialisation Business Applications consist of the following modules:

Business Analytics (4 SWS, 5 ECTS, SPM1)

The focus of this course is on corporate performance management and key figure-oriented business management on the basis of a comprehensive (intelligent) information architecture (data warehouse) and corresponding information availability (dashboards). Well-founded know-how in the field of data warehousing and system integration is acquired here on the basis of leading software solutions (Microsoft Power BI).

Machine Learning (4 SWS, 5 ECTS, SPM1)

The focus of this course is on the application of the latest algorithms of supervised, semi-supervised and unsupervised machine learning (linear modelling, neural networks, classification, decision trees, etc.) with the R programming language. In addition to data available internally in companies, data from the internet and social networks are also analysed.

Application Development (4 SWS, 5 ECTS, SPM2)

The main focus of this course is machine learning with a focus on text mining (e.g. natural language processing, sentiment analysis) with the programming language Python. In particular, the application of open source libraries for machine learning such as TensorFlow will be learned.