Upon completing the various teaching formats at our chair, forming the centre of data science and visualization research at the university of Konstanz, students will be well-equipped with a robust set of skills and knowledge that position them at the forefront of data science innovation. The curriculum is designed to offer an immersive learning experience, integrating many practical elements and will enable graduates to navigate the evolving landscape of data science, driving innovations and solutions in diverse industries and research areas.

You will acquire the following skills…

• Foundational Data Science Knowledge

Students will be adept at fundamental concepts such as data mining, data visualization, machine learning, and algorithm engineering. This ensures a solid theoretical foundation to understand and work with both current and future developments in the field.

• Data Management and Analysis Techniques

You understand the foundational methods and tools essential for managing large datasets and conducting insightful data analyses. Your proficiency in data management ensures efficient storage and retrieval mechanisms.

• Machine Learning and AI Integration

You are adept at the principles of machine learning and can implement AI-driven algorithms, understanding their intricacies and the relevant applications, from predictive analytics, natural language processing, to Large Language Models (LLMs).

The modern ‘information society’ recognizes the immense value of data. As such, graduates of this program find themselves in a privileged position, with a myriad of career opportunities spanning various industries.

You could work as…

• In the data analytics divisions of German industrial giants (e.g. Siemens, Bosch, ThyssenKrupp)…

… leveraging data to streamline manufacturing processes, predict machinery maintenance, and enhance supply chain efficiencies.

• Data Scientist

As a data scientist in the pharmaceutical and biotech sector in Germany, working for industry leaders like Bayer, Boehringer Ingelheim, or Merck. Here, they can utilize data to accelerate drug discovery, optimize clinical trials, and forecast market needs.

• Data Strategist or Consultant

As a data strategist or consultant for major banks (e.g. Deutsche Bank, UBS, Commerzbank), interpreting financial data to derive investment insights, using sophisticated data models to predict stock market movements, optimize asset portfolios, and ensure regulatory compliance.