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Engineering● OpenMastersPreview

MSc Electromobility – ACES

An interdisciplinary Master of Science program focusing on autonomous driving, connectivity, powertrains, and sustainable mobility.

Best for:Best for engineering graduates seeking advanced specialization in autonomous driving, connectivity, powertrains, and sustainable mobility systems.

FAU Erlangen-Nürnberg · Erlangen, Germany · R1 · First-stage researcher
More professors at FAU Erlangen-Nürnberg
Autonomous DrivingPower ElectronicsCommunication SystemsSustainable MobilityMachine Learning
This is a masters position — not a PhD studentship.
Deadline
Register by 30 October 2026 + 1 more
Funding
Scholarship
4 semesters
Start date
Winter and summer semester
Full-time
Location
Erlangen
Germany

Overview

The MSc Electromobility – ACES at FAU Erlangen-Nürnberg is a comprehensive four-semester Master's program designed for engineering graduates. Students select two out of four specialized majors: AI and Autonomous Driving, Connectivity, E-Powertrain, and Sustainable Mobility and Production Technology. The curriculum combines theoretical coursework, laboratory training, practical industrial experience, and research theses. Graduates gain specialized expertise to enter leadership or development roles in the rapidly evolving automotive and mobility sectors.

ElectromobilityAutomotive EngineeringSmart GridsPower ElectronicsAutonomous Systems

What you'll do

  • Complete advanced coursework across two chosen engineering majors
  • Participate in specialized laboratory training and practical modules
  • Conduct an eight-week practical training placement
  • Execute a project thesis with an advanced seminar
  • Conclude the program with a comprehensive Master's thesis and seminar

Requirements

Degree required: Bachelor’s degree in an engineering programme

Degree offered: Master of Science

Language: English; C1 required (e.g., IELTS Academic: 7)

Instruction: English or German

Required skills
  • Strong foundational background in engineering principles
  • Proficiency in English at the C1 level
  • Analytical problem-solving abilities suited for advanced technological systems
Nice to have
High scores on standard graduate tests such as GRE or GATEPrior practical or academic exposure to machine learning, power electronics, or communication systems
Eligibility
  • Open to applicants from all countries who hold an eligible engineering Bachelor's degree

Funding & terms

Type
Scholarship
Amount
—
Duration
4 semesters
Programme
FAU Erlangen-Nürnberg
FAU Erlangen-Nürnberg

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2026-05-31

Prospective students must review the application guidelines on the official program website and submit their documents within the designated application windows. Non-EU applicants should note specific processing fees and consider submitting standardized graduate test scores to strengthen their candidacy.

Documents required
  • BSc transcripts
  • Official language certificate
  • GRE or GATE test results (recommended for non-EU applicants)
↗Check programme and admissions

Contact

Lab
Faculty of Engineering
FAU Erlangen-Nürnberg
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.