Niclas Mettenleiter

The main focus during the Mathematics in Data Science Master’s program is on the areas of Data Engineering, Data Analytics, Data Analysis, Machine Learning, and Data Science. Students therefore focus on techniques of data retention and data evaluation. They learn to tailor these procedures to specific problems and to combine or redevelop them, thereby deriving prediction and classification models. In addition, they deal with the development of algorithms for problem-solving purposes.

Thesis: Usecase identification and implementation of Conflict-Free-Replicated-Datatype enabled Permissioned Blockchain Did Additional Courses in Analysis, Linear Algebra, Probability Theory, Deep Learning and Computer Science