Understand how modern medicine looks inside the body: You learn how key imaging techniques such as X‑ray, MRI and ultrasound work, how they support the diagnosis of heart, lung and brain diseases, and gain insights into the planning and delivery of modern therapies. You also see how computers and AI assist physicians in analyzing medical images and making clinical decisions.

Connect Computer Science with Biology and Medicine: Learn how large biological datasets, such as genetic and protein data, are analyzed and interpreted. Apply algorithms and databases to better understand biological processes and support modern applications such as personalized medicine.

Teach computers how to see: You learn how to turn pixels into structured information – from color spaces and image operators through feature engineering and segmentation to deep learning methods for object detection, with a focus on medical imaging applications.

Understand Life Through Mathematics: Learn how mathematical models describe and predict biological processes such as population growth and evolution. Use equations, discrete mathematics, and combinatorial concepts to identify and analyze patterns in nature. You will also develop an understanding of how to choose suitable models and adapt them to real biological data.

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.