All courses are held in English.
The Bachelor's thesis can be written in English or in German.
This programme starts each year in the winter semester on 1 October.
15 July for the following winter semester
Due to the visa processing time, it is strongly recommended that non-EU applicants submit their documents at the beginning of the application period (15 April).
Course contents:
In order to transfer the potentials of artificial intelligence (AI) into practice, you will acquire competencies in software engineering and mathematics as well as comprehensive knowledge in the development of AI systems. A particular focus of the programme is on the mathematical understanding of the fundamentals and the application of the various AI approaches in practice.
In seven semesters, you will thus acquire relevant professional competencies from computer science, mathematics and artificial intelligence as well as important key competencies and soft skills. Furthermore, you will learn how to deal with AI in a responsible manner.
In addition, the curriculum includes specialist-required elective modules (FWPM) from different disciplines out of computer science, mathematics and engineering. You can choose among these to develop your individual specialist skills you will need for your further studies or your career. At the end of the programme, you will be able to design, build, analyse and solve problems in many areas relating to artificial intelligence.
Besides the theoretical studies, you will work closely together with companies on various practical projects and are thus able to gain further professional experience.
Study objective:
Our goal is to train students to become AI experts with practical experience tested in hands-on situations. You will be able to:
- build bridges between specialist departments and IT experts,
- identify new AI-related topics, and
- successfully participate in and lead projects in AI.
Equipped with the right tools, our graduates can quickly integrate their hands-on knowledge in their day-to-day careers. You will:
- have a sound knowledge of the subject areas of AI,
- know the mathematical background,
- have the computer science skills to develop software solutions, and
- have practical experience from carrying out projects in collaboration with companies as well as from your practical semester.
This prepares you for employment in conceptual design, model development, and practical implementation (MLOps) as well as process consulting and decision-making.
Online info sessions:
Learn more about the Applied Artificial Intelligence programme and join our online info sessions! Register here: www.th-rosenheim.de/info-sessions.