Master in Data Science

Overview Study Plan

Achieve master’s level in extracting knowledge from data and build the core competencies required to become a Data Scientist leader who can define tomorrow’s new directions and innovations today. 

During your master’s program, you will acquire the necessary expertise in a variety of applied modules that focus on Data Science Fundamentals, Data Science Methods and Computer Science. 

The Data Fundamental modules will connect all relevant aspects of data science. This includes Operations, Applications and Innovations. You will deepen your practical skills in data science and process management projects as well as in the necessary programming languages and applications. One such example comes from the field of predictive analysis in which you will learn to address customers more specifically based on their potential behavior. 

Within the Data Science Methods module, you will broaden your competences in predictive and prescriptive analysis. Practical project work will enable you to determine how these methods are applied and how you can derive reliable and relevant forecasts from your data analysis. 

The Computer Science module gives you detailed insights into how new technologies and methods of Parallel Computing, Cognitive Computing and Disruptive Computing are applied to data science projects and used in practice. 

During your master’s program, you will expand your existing knowledge of Digital Leadership with a two-phase Leadership Assessment (in the first and fourth semesters). 

In addition, you will establish consulting competences as part of a practice project and deepen your qualitative and quantitative research methods during a practice-oriented research project.

Options include

Information Analysis 

Become an information superhero and lay the decision-making groundwork for tomorrow’s successes. You use the entire data infrastructure, restore archived information (data retrieval) and bring that information back into the game, which gets you right to the bottom of data. Not only are you familiar with all retrieval models and methods and the architecture of retrieval systems but also with their various fields of application (e.g. search engines). Your toolset also includes User Behavior, User Interfaces, Web Information Retrieval and Multi Retrieva, which you use to generate precise analyses on the behavior of target audiences (e.g. customers).

Business Analysis 

Become a trailblazer and use your interdisciplinary, digital skills to set the course for major cross-sectional fields of the economy. Your forecasts determine the success factors of the future and provide the blueprints for the respective departments. You use Marketing Analytics to gain a better understanding about the market (your customers) and to even more effectively address it. You set the stage for all future marketing activities. Using Financial Analytics, you evaluate and manage the economic viability of a business. Financial Investment Analytics is your tool of choice when it comes to assessing important investments for tomorrow and beyond.

Human Computer Interaction/Natural Language Processing (NLP) 

Become a translator and link man and machine, thereby creating new ways of interaction. Be it simplified handling of new products for the most diverse target audiences or controlling large-scale machines by voice or language assistants, you determine the dialogs. Not only are you versed in all theoretical and conceptual approaches from linguistics (speech recognition, speech processing, speech generation) and computer science (including Artificial Intelligence, Machine Learning) but have also acquired the needed methods and techniques through applied projects.

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