The Bachelor's degree course in Medical Informatics prepares you specifically for a successful career as well as for further Master's studies in this interdisciplinary field. You will acquire in-depth knowledge of computer science and mathematics, specifically tailored to medical applications. You will learn to develop software solutions and to design and optimize complex IT systems in the healthcare sector.
A particular focus is on artificial intelligence (AI), which is increasingly revolutionizing diagnostics, therapy and research processes. You will learn to understand and apply intelligent algorithms - for example to analyze medical image data or to support medical decisions.
In addition to technical expertise, you will gain a solid understanding of basic medical principles. This will enable you to work effectively in interdisciplinary teams with doctors. The relatively high number of compulsory elective courses will give you the opportunity to specialize in future-oriented areas of medical informatics such as medical image and signal processing, eHealth, bioinformatics and AI. As a result, you will be ideally prepared to develop innovative and practical IT solutions for medicine.
Basics of medical informatics
The course begins with an introductory course on medical informatics, which gives you an initial overview. At the same time, you will be introduced to the basics of medicine, which you will need in order to be able to work with people from the medical field. In anatomy and physiology, you will learn about the structure and function of the body. In pathology, you will learn what happens when you fall ill and something in your body does not work properly.
Artificial intelligence in medicine
Artificial intelligence (AI) plays a key role in modern medicine. It helps to analyze complex medical data, supports diagnostic processes and enables innovative therapeutic approaches. During your studies, you will learn the basics of machine learning, the application of intelligent algorithms in medicine and their use in image and signal processing. The development and evaluation of AI-supported systems is an important part of this specialization.
Computer science during your studies
You will acquire skills in programming, software engineering and application-oriented computer science with a focus on databases, computer networks and image and signal processing. The theoretical foundations of computer science are also taught. The mathematical courses provide you with important fundamentals that are used, for example, in medical imaging, bioinformatics and data analysis.
eHealth - Information systems in the healthcare sector
The computerized processing of patient data plays a central role in hospitals and medical practices for patient care, management and clinical research. You will learn how medical information can be processed securely and efficiently, brought together from different sources and integrated into an electronic patient record, for example. An important aspect of this is compliance with data protection and security standards.
Medical image and signal processing
Analyzing medical images and biosignals is essential for modern diagnostics and therapy. You will learn practical techniques for computer-aided imaging and signal processing that enable doctors to improve diagnoses and treatments. Both classic algorithms and AI-based methods are playing an increasingly important role in this.
Bioinformatics
In bioinformatics, computer science methods are applied to biological and genetic data, which are becoming increasingly important for modern medicine. For example, genetic analyses are used to identify disease risks at an early stage or to develop tailored therapeutic approaches. You will be introduced to cell biology, genetics and algorithms for the analysis of genetic information and have the opportunity to specialize further in elective courses.
Internships and Bachelor's thesis
You will apply what you have learned in practical work placements. You will work with current technologies and methods used in research and industry. Your Bachelor's thesis will allow you to take an in-depth scientific look at issues in medical informatics.
You can find more details in the curriculum or the module handbooks
Anatomy (2V)MZ2160Introduction to Medicine
Anatomy (2V)CS1300Introduction to Medical Informatics4KP (2V+1Ü)CS1000Introduction to Programming8KP (3V+3Ü)MA1000Linear Algebra and Discrete Structures 18KP (4V+2Ü)MA2000Analysis 18KP (4V+2Ü)
Radiology, nuclear medicine
und Radiotherapy (2V)
12KPMZ2160Introduction to Medicine
Physiologie (2V) & Radiology, nuclear medicine und Radiotherapy (2V)CS1002Introduction to Logics4KP (2V+1Ü)CS1001Algorithms and Data Structures8KP (4V+2Ü)MA1500Linear Algebra and Discrete Structures 28KP (4V+2Ü)MA2500Analysis 24KP (2V+1Ü)
Pathologie (2V)MZ2160Introduction to Medicine
Pathologie (2V)CS3310Medical Image Computing5KP (2V+2Ü)ME2150Introduction to Medical Engineering5KP (2V+1Ü+1P)CS2000Theoretical Computer Science8KP (4V+2Ü)CS2700Databases4KP (2V+1Ü)CS2300Software Engineering6KP (3V+1Ü)
(2V+1Ü)CS3300Informatics in Health Care - eHealth(2V+1Ü)CS3310Medical Image Computing4KP (2Ü+2P)Elective Medical Informatics8KPCS2150Operating Systems and Networks8KP (4V+2Ü)CS2301Lab Course Software Engineering6KP (4P)
Intership
(2Ü+3P)
10KPCS3300Informatics in Health Care - eHealth10KP (2Ü+3P)CS3350Medical Data Science and Artificial Intelligence6KP (2V+2Ü+1P)CS4013Bioinformatics4KP (2V+1Ü)Elective Medical Informatics10KPCS3703Bachelor Seminar Medical Informatics4KP (2S)
Application to the Bachelor's degree course in Medical Informatics is generally admission-free. The qualification required is a general higher education entrance qualification, a relevant subject-specific higher education entrance qualification or an entrance qualification recognized as equivalent. All other admission requirements can be found in the course regulations. Information can be obtained from the Student Service Center.
You can find all the important information about starting your first semester here.
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