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.

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.

Develop Autonomous Mobile Robots: Understand and integrate the subsystems of autonomous robots, apply concepts such as kinematics, sensor fusion, and control engineering, and develop your own solutions for motion and path planning in hands-on research projects.

Understand the Limits of Computation: Explore computability, decidability, and computational complexity theory while analyzing fundamental questions in computer science—from Turing machines and the Halting Problem to NP-completeness and the P vs. NP problem. Learn to recognize and classify the fundamental limits of algorithmic problem solving.

Protect Information with Cryptography: Deepen your understanding of modern cryptographic methods and protocols—from digital signatures and zero-knowledge proofs to elliptic curve cryptography and post-quantum cryptography—and learn to evaluate their security and applications.