Technische Hochschule Ingolstadt · Germany

AI Engineering of Autonomous Systems

Campus Masters Full Time

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Delivery

Campus

Study mode

Full Time

Level

Masters

Starts

Sommer & Winter

Introduction

AI Engineering of Autonomous Systems is a Masters program taught at Technische Hochschule Ingolstadt, Germany. Intake: Sommer & Winter. The program is offered in campus-based modes with full-time (3 Semester) options.

The Master's Degree in AI Engineering of Autonomous Systems at Technische Hochschule Ingolstadt is designed to prepare students for the rapidly evolving field of autonomous systems. This interdisciplinary program combines principles of artificial intelligence, robotics, and systems engineering. Students delve into topics such as machine learning, computer vision, and control systems, gaining a comprehensive understanding of how AI technologies can be integrated into autonomous platforms.

Throughout the course, students engage in both theoretical knowledge and practical applications. The curriculum typically includes project-based learning, allowing students to work on real-world problems and develop solutions using the latest technologies. Graduates emerge with a robust skill set that includes programming, data analysis, and systems design, making them well-equipped to tackle complex challenges in the field.

Studying in the heart of Europe, students benefit from a rich technological ecosystem, fostering innovation and collaboration with industry leaders. The university's strong ties with local businesses and research institutions provide students with valuable networking opportunities and insights into the practical application of their studies.

Admission Requirements

The minimum requirements for admission in AI Engineering of Autonomous Systems at Technische Hochschule Ingolstadt for all applicants (Domestic or International) are:

program specific academic requirment set by Technische Hochschule Ingolstadt.
English Language OR any other language requirments as set by Technische Hochschule Ingolstadt as pre-requiste for admission in AI Engineering of Autonomous Systems.

Note: Please check the university website in the link below.

A typical candidate for the Master's program would hold a bachelor's degree in computer science, engineering, or a closely related field. Relevant work experience, particularly in programming or engineering projects, may also be considered advantageous. Applicants are encouraged to demonstrate a foundational knowledge of algorithms, data structures, and basic machine learning principles.

To ensure students can effectively engage with course material, a minimum proficiency level in English is expected. For non-native English speakers, this usually translates to an IELTS band score of 6.5 or equivalent TOEFL score. Prospective students should check specific requirements as they may vary by program.