Master of Engineering in AI Engineering of Autonomous Systems
A cutting-edge master’s programme in Germany combining AI, robotics, and autonomous systems engineering for industry transformation.
Best for:Best for graduates in electrical engineering, computer science, or mathematics with a strong foundation in programming, machine learning, and systems engineering who seek to specialize in AI-driven autonomous systems.
Overview
This Master of Engineering programme at Technische Hochschule Ingolstadt focuses on AI engineering for autonomous systems, equipping students with advanced skills in machine learning, sensor networks, software engineering, and decision-making algorithms. Taught entirely in English, the curriculum integrates theoretical knowledge with hands-on projects, including collaborations with industry partners and international research initiatives like the Bavarian-funded AImotion approach. Students explore core modules such as intelligent sensing, planning and control, and system development, while elective modules allow specialization in areas like automotive applications or innovation management. The programme emphasizes real-world problem-solving, ethical AI considerations, and interdisciplinary collaboration, preparing graduates for leadership roles in industries ranging from mobility and production to agriculture and medical engineering.
What you'll do
- Design and develop intelligent autonomous systems capable of learning, decision-making, and operating without human intervention.
- Explore advanced topics in sensor networks, data fusion, machine learning, and software engineering for autonomous systems.
- Apply scientific research methods to cutting-edge AI engineering topics and present findings in seminar papers.
- Collaborate on group projects to solve real-world problems through hands-on experience and teamwork.
- Develop autonomous systems for diverse industries, including mobility, production, agriculture, and medical engineering.
- Engage in ethical discussions and considerations related to the development and deployment of autonomous systems.
- Participate in international projects and collaborations with industry partners and research institutions.
Requirements
Degree required: Bachelor’s degree in electrical engineering, computer science, or mathematics (or a related discipline) with a minimum of 210 ECTS credits. Applicants with 180–209 ECTS must demonstrate missing competencies through additional exams or internships.
Degree offered: Master of Engineering
Language: English; B2 level or equivalent (e.g., IELTS Academic 5.5, TOEFL iBT 72, Cambridge English B2 First, PTE Academic 59, UNIcert II).
Instruction: English
- Proven knowledge of systems engineering, signal processing, communications, and programming.
- Experience in software development and machine learning.
- Understanding of probability theory and independent scientific work in engineering problem-solving.
- Proficiency in English at B2 level or equivalent.
- Ability to pass an aptitude test assessing skills in electrical engineering, computer science, or mathematics.
- Open to applicants from all countries.
- No nationality restrictions.
- No age restrictions.
- No prior residency requirements in Germany.
Funding & terms
Programme and admissions
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How to apply
Deadline: 15 October 2026 - 15 January 2027 (summer semester) or 1 April 2027 - 15 July 2027 (winter semester)
Applicants must submit their application through the uni-assist portal, including all required documents such as academic transcripts, proof of English proficiency, and the aptitude test questionnaire. The application process is fully online, and no personal interviews are required. Ensure all documents are uploaded before the deadline to be considered for admission.
- Bachelor’s degree certificate and transcripts (210+ ECTS or proof of missing competencies for 180–209 ECTS)
- Proof of English proficiency (B2 level or equivalent)
- Completed aptitude test questionnaire
- CV/resume
- Motivation letter
- Passport-sized photo
- Proof of health insurance
- Uni-assist fee payment confirmation
Contact
International Office· Admissions Contact
https://www.thi.de/en/studies/application/master-application/
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