Key areas of the Master’s degree programme
Big Data and Business Reporting
Relational, multidimensional, and NoSQL databases form the essential foundation of highly available and fast big data applications. Based on this, attractive and dynamic reports and dashboards can be automatically created using the latest frameworks.
Business Intelligence and Forecasting
With data mining and inferential statistics, sophisticated and high-dimensional time series analyses and accurate forecasts can be produced. OLAP and self-service BI enable ad-hoc analyses of various data and data streams.
Computational Intelligence
Discovering hidden patterns and relationships in data is central to data mining. Using numerical and statistical methods, as well as the fundamentals of machine learning and neural networks, custom algorithms can be implemented and optimised for these purposes.
Data Storage and Processing
Proficiency in relevant and current scripting languages is an essential qualification in the fields of data science and AI. Additionally, skilled use of query languages and a deep understanding of data storage and transformation are crucial competencies for efficient data processing and storage.
Interdisciplinarity and Practical Applicability
The programme enhances scientific research skills and competencies in modern, practical project management. A special emphasis is placed on sensitivity to ethical issues and data protection. Projects and electives allow for individual specialisation in cutting-edge areas. Through case studies, intensive exchange with companies and project work, on the importance of practical applicability is highlighted.
