Overview This English-taught, full-time Master's programme runs over three semesters and builds on a completed Bachelor's degree in computer science, electrical and information technology, or a closely related area. Its curriculum concentrates on the software side of modern vehicles, covering topics such as software engineering for autonomous driving, image understanding, artificial intelligence, embedded systems, in-car networks, and Car2X communication.
The course responds to the growing complexity and integration of hardware and software driven by autonomous driving and connected mobility. Students receive a solid theoretical foundation combined with hands-on, research-oriented learning through close cooperation with Deggendorf Institute of Technology’s (DIT) technology campuses and work in state-of-the-art laboratories—an environment suited for applied projects and advanced technical training.
Admission requirements
This program combines core computer science concepts with automotive-specific engineering to prepare you for software roles in modern vehicles. Across three semesters you move from foundational topics — such as image recognition, human–vehicle interaction, and terminology/technical language — toward advanced subjects like artificial intelligence for automotive applications, embedded microcontroller programming, and in-car communication architectures. Practical work is emphasized through project courses and a final master’s thesis with a colloquium.
The curriculum balances technical depth (automotive software development, ADAS, microcontrollers) with system-level themes (wireless/Car2X communication, in-car networks) and user-focused design (mobile applications and interaction design, innovation management & customer design). Elective slots allow you to tailor your profile, while the project and thesis give hands-on experience in implementing and evaluating solutions for real automotive problems.
Candidates should have a relevant undergraduate degree and demonstrate technical aptitude and motivation. Specifically, applicants are expected to hold a bachelor’s-level qualification in computer science, electrical and information technology, or a closely related subject area. Admission also requires passing an assessment test and participating in a selection interview.
International applicants whose degrees were completed outside Germany should check whether their qualification is regarded as equivalent under the programme rules. For the complete, authoritative list of criteria and procedural details, refer to the study and examination regulations (see § 3 Qualification and Admission Requirements).
Winter Semester (International)
1 October to 1 November for March entries (summer semester)
Summer Semester (International)
1 November 2026
Summer Semester (EU/EEA)
1 November 2026
Graduates are prepared for technical roles in the automotive and mobility industries such as automotive software developer, ADAS/autonomous driving engineer, embedded systems engineer, AI/ML engineer for vehicle perception, and in-car/Car2X communication specialist. The programme's focus on image understanding, artificial intelligence and embedded automotive platforms targets demand from OEMs, Tier-1 suppliers, automotive software companies and mobility startups.
The research-oriented training and hands-on lab experience also support careers in R&D and offer a pathway to PhD studies. Given the rapid growth of autonomous driving and connected vehicle technologies, graduates can expect strong employability in both industry and research institutions across Germany and internationally.
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