The degree program is designed for engineers with a passion for media who want to extend their specialist knowledge and familiarize themselves with current technologies.
The English-language master’s degree program in AI and Advanced Information Technologies is aimed at anyone who wants to actively shape the digital future. It provides in-depth expertise in artificial intelligence and modern information technologies, preparing students to develop, apply, and advance intelligent digital systems themselves.
Research, industry, and administration need professionals who are able to quickly, independently, and accurately learn to work on a variety of projects and tasks due to their broad knowledge and skills in technical physics, engineering tasks, and in modern technologies.
The research-oriented Master of Science in Applied Physics at Hochschule RheinMain – University of Applied Sciences and Arts (HSRM) offers rigorous scientific training integrated with applied research across three focus areas: Photonics & Quantum Technologies, Micro- and Nanotechnology, and Hydrogen & Energy Storage.
Transforming abstract knowledge into engineering solutions in interdisciplinary teams in order to solve physical-technical problems - this is what you will learn in the master's degree program in Applied Physics.
Microsystems and semiconductor technology, innovative energy systems, smart materials, laser-based communication networks: these are fields of technology that are shaping our lives now and will continue to do so in the future.
Audiovisual Technologies and Artificial Intelligence - Applied Engineering
Have you ever wondered how an autonomous vehicle analyzes its surroundings? And how people and objects in a video can be reliably recognized? You will learn this and much more on our Bachelor's degree course in Applied Engineering in the specialization Audiovisual Technologies & Artificial Intelligence.
The master's degree program in Biomedical Engineering is designed for graduates of engineering degree programs who are interested in working in research-oriented areas of biomedical engineering or who would like to pursue a further academic qualification.
In recent years, digitalization has created a wide range of new career opportunities at the interface of mathematics, physics and computer science. These emerging fields increasingly require not only analytical thinking and the ability to develop mathematical models, but also computational expertise and strong interdisciplinary competencies.
