The International Master's program in Data Analytics enables students to take up challenging research in the interdisciplinary field with major focus on data analytics. During the program you will learn deeply about bleeding edge models and methods in machine learning as well as about turning ideas into code and thus design, implement and run your own experiments. Training on a largescale compute cluster and big data applications is part of the program, too. During your study project you will learn how to write research proposals, how to manage research projects as a team and how to present results to a critical.
The Data Analytics program combines complex mathematical and statistical models and methods from machine learning with problems from an application domain using tools and techniques for processing Big Data. The programs is structured in a way that it builds on the core data modeling and data analytics knowledge with application on the large volume of real-world data using modern big data technologies such as the Apache Hadoop, Apache Spark, NoSQL etc.
* Machine Learning * Advanced Machine Learning * Modern Optimization Techniques * Programming machine Learning * Big Data Analytics * Distributed Data Analytics * Planning and Optimal Control