Machine Learning and Data Analytics

Course Overview

In the master's program in Machine Learning and Data Analytics, you will learn throughout your studies which methods there are for machine learning and how to use them correctly and efficiently. From data storage, especially of large amounts of data, to data evaluation and decision-making, you will come into contact with all steps of data analysis. Both symbolic learning methods such as inductive and deductive learning as well as sub-symbolic techniques such as support vector machines or neural networks are covered. In doing so, you will acquire a basic understanding of theory and practice. The ethical and social aspects also play a crucial role in this area and are considered part of the course, as our working world will fundamentally change through the application of machine learning methods. Building on the skills acquired during the Bachelor’s degree  A special feature of the course is the so-called competency area. Depending on the bachelor's degree you start with, you then choose your competency area in the master's program. There you take two lectures from the master's program at Aalen University that are typical for the application of machine learning methods in your field. In this way, you come into contact with the applications for your later professional life very early on.