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Automotive and Robotics Engineering● OpenMastersPreview

Master of Engineering in Autonomous Driving

Hands-on master’s programme in autonomous vehicle systems with project-based learning and industry collaboration in Kronach, Germany.

Best for:Best for engineering graduates with a background in automotive, mechatronics, computer science, or related fields who seek hands-on experience in autonomous vehicle systems and interdisciplinary teamwork.

Coburg University of Applied Sciences and Arts · Kronach, Germany
More professors at Coburg University of Applied Sciences and Arts
autonomous vehicle systemshuman-centred design in engineeringAI and machine learning for perceptionvehicle networking and connectivitysafety and validation in autonomous systemsagile project management in engineering
This is a masters position — not a PhD studentship.
Deadline
Register by 14 March 2027 + 3 more
Funding
Unfunded
€1.5k
Start date
Winter or summer semester (flexible)
Full-time
Location
Kronach
Germany

Overview

This Master of Engineering programme at Coburg University of Applied Sciences and Arts focuses on autonomous driving, blending theoretical knowledge with practical, project-centred learning. Students work in interdisciplinary teams to develop autonomous systems from concept to prototype, using agile methodologies and human-centred design. The curriculum covers sensors, AI, vehicle networking, and safety, with a strong emphasis on real-world application through partnerships with companies like Valeo and Motherson. The programme is fully taught in English, though German is optional for supervision and thesis writing. Graduates gain expertise in autonomous vehicle technology, preparing them for careers in automotive engineering, AI, and smart mobility solutions.

autonomous drivingproject-based learningautomotive engineeringAI in vehiclessensor fusionvehicle safetyagile developmentinterdisciplinary teamwork

What you'll do

  • Develop autonomous vehicle systems from concept to prototype through interdisciplinary teamwork and agile project management.
  • Conduct research and implementation of sensors, actuators, and AI algorithms for environmental perception and decision-making.
  • Design system architectures, safety concepts, and navigation algorithms for autonomous vehicles.
  • Apply deep learning, data fusion, and localisation techniques to real-world projects.
  • Collaborate with industry partners to integrate theoretical knowledge into practical applications.
  • Present project progress through oral demonstrations and written reports in each module.
  • Conduct a Master’s thesis, ideally in collaboration with a company, to apply learned skills to a real-world problem.

Requirements

Degree required: A university degree in automotive engineering, mechatronics, information technology/computer science, mechanical engineering, electrical engineering/electronics, physics, or a related field with at least 210 ECTS (including a practical study semester) or 180 ECTS (without a practical study semester).

Degree offered: Master of Engineering

Language: English proficiency at B2 level, proven via placement test or interview.

Instruction: English (with optional German for supervision and thesis).

Required skills
  • Proven academic background in engineering, computer science, or related disciplines.
  • Basic programming skills (preferably in a language relevant to autonomous systems).
  • Ability to work effectively in interdisciplinary teams.
  • Familiarity with agile project management methodologies.
  • Strong communication skills for team collaboration and presentations.
Nice to have
Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).Knowledge of sensor technologies (e.g., LiDAR, cameras, radar).Prior exposure to vehicle dynamics or embedded systems.Fluency in German (optional but advantageous for local industry collaboration).
Eligibility
  • EU applicants: Deadline for summer semester is 14 March; for winter semester is 30 September.
  • Non-EU applicants: Application window for summer semester is 16 May–2 December; for winter semester is 3 December–15 May.
  • International applicants must obtain a VPD (Verification of Pre-Study Documents) issued to Coburg University.
  • Missing ECTS credits can be compensated within one year after starting the programme.

Funding & terms

Type
Unfunded
Amount
€1.5k
Duration
3 semesters (full-time)
Programme
Coburg University of Applied Sciences and Arts
Coburg University of Applied Sciences and Arts

Programme and admissions

Admissions not verified

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How to apply

Deadline: 14 March 2027 (summer semester, EU) / 30 September 2027 (winter semester, EU); 16 May–2 December 2027 (summer semester, non-EU) / 3 December–15 May 2027 (winter semester, non-EU)

Applicants must submit their application through the official DAAD portal (Primus system). Required documents include a CV, proof of degree, English proficiency certificate, and a VPD for non-EU applicants. The application process involves an online submission followed by potential interviews or placement tests.

Documents required
  • CV
  • Proof of university degree (Bachelor’s or equivalent)
  • Transcripts of academic records
  • Proof of English proficiency (B2 level)
  • Verification of Pre-Study Documents (VPD) for non-EU applicants
  • Motivation letter (if required)
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Contact

International Office· Admissions Coordinator

https://www.hs-coburg.de

Lab
Autonomous Driving Research Group
Coburg University of Applied Sciences and Arts
Germany
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