When Computers Understand Language: Work with modern AI, develop applications such as chatbots or translators, and understand how machines analyze and generate text.

Make Data Understandable: Analyze requirements, develop interactive visualizations, and apply appropriate visualization techniques to communicate data effectively.

From a complex Problem to an Solution: Work with interdisciplinary teams on real-world, complex challenges, apply Design Thinking, develop user-centered solution ideas, and learn how to turn ideas into compelling concepts—from problem analysis to persuasive presentations.

Develop an innovative solutions for a real world problem: Work in interdisciplinary teams on open-ended challenges, develop user-centered concepts using design thinking, build prototypes in a makerspace, and present your solutions to clients and a larger audience.

You have an idea, which you want to develop further to a digital or physical products? Then experiment with different approaches, learn methods for digital fabrication and present a functional prototype as solution.

Compute, Simulate, and Solve Real-World Problems: Learn the Julia programming language and the fundamentals of scientific computing, including numerical methods and the handling of rounding errors. Then develop your own simulations and applications for engineering, healthcare, and business while gaining insight into modern computational methods and their practical implementation.