In the Physical AI program, you will learn how intelligent systems are developed and applied. You will combine computer science, engineering, and AI to solve real-world problems, for example, using autonomous robots or data-driven applications.

At the beginning, you will build a solid foundation in computer science, mathematics, and engineering fundamentals. Building on this, you will explore topics such as machine learning, intelligent algorithms, robotics, sensing, actuation, and embedded systems. A special focus is placed on programming robotic systems and using modern AI methods to accomplish complex tasks.

The program is designed to be practical and interdisciplinary. You will work on concrete problems, develop your own solutions, and learn to think systematically and analytically. Questions surrounding the responsible use of AI are also addressed in the courses.

Thanks to the wide range of applications such as in industry, logistics, mobility, healthcare, and service robotics, you will be able to quickly familiarize yourself with different fields of application.

In the later semesters, you will set your own focus areas. Through required elective modules (FWP), you can choose content that matches your interests and career goals. The course offerings are regularly updated and include topics from computer science, robotics, and related disciplines.

The first two semesters form the orientation phase, providing a foundation in computer science, mathematics, electrical engineering, and mechanics. As the program progresses, it is built on two central pillars: artificial intelligence and robotics. These run throughout all semesters and are consistently accompanied by hands-on robotics labs.

At its core, the program places a strong emphasis on computer science, complemented by mathematical and technical content. In the later semesters, specialized AI topics and project-based modules are added.

The 6th semester is designed as a practical semester, offering initial insights into the professional application of the knowledge acquired. In the following semesters, you can choose individual areas of focus through required elective modules (FWP). The program concludes with the bachelor thesis.

Due to the high level of practical experience integrated into the program, graduates are well prepared to enter the workforce. The skills acquired are applied across many industries and continue to grow in importance.

Possible career paths include, for example:

• AI Engineer (Machine Learning Engineer)
  develops applications that analyze data and enable automated decision-making
• Robotics Engineer
  designs and develops robotic systems for industry, logistics, or service applications
• Software Developer with a focus on AI
  programs intelligent applications and integrates AI into existing systems
• Human-Robot Interaction Designer
  designs user-friendly and safe collaboration between humans and robots
• NLP Engineer (Natural Language Processing)
  develops systems that understand, process, or generate language

• Information for incomings

Please apply via the application portal of Technical University of Applied Sciences Augsburg. Further information is available at: https://www.tha.de/Bewerbung.html

If you have any problems or questions regarding the application process, please contact the

Student Office
Phone: + 49 (0)821 5586-3950
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The Artificial Intelligence and Robotics program can also be studied as a cooperative (“Verbundstudium”) or practice-integrated program:

In the cooperative program, you study in parallel with a vocational training program (leading to an IHK/HWK qualification) with a practice partner of your choice. You begin with a 3- to 3.5-year vocational training program at the partner company, and after approximately 14 months, you start your first semester of academic study alongside it.

The practice-integrated program means that, during your academic studies, you complete intensive practical phases with a partner company of your choice that go beyond the mandatory internships—without pursuing a formal vocational qualification. You may begin your studies first and decide in a later semester to undertake a subject-specific intensive practical phase.

A variant of the practice-integrated program is the ICS model, which is offered in cooperation with the ICS support association within the Faculty of Computer Science. In this model, the faculty nominates the top students from the first semesters for participation in the program.

Further information can be found at:

• Academic study combined with vocational training and academic study with intensive in-company training

• Juridical Foundation
• Timetable