Master of Arts in Artificial Intelligence Aided Mobility Design
A multidisciplinary master’s programme blending design creativity with AI-driven engineering for future mobility solutions.
Best for:Best for designers with engineering skills or engineers with a creative mindset seeking to specialise in AI-driven mobility solutions.
Overview
This Master of Arts programme at Hof University of Applied Sciences prepares designers and engineers to innovate at the intersection of design and technology, leveraging AI tools. Students develop skills in technical product development, machine learning, and AI theory while working on interdisciplinary projects. The curriculum combines hands-on theory with real-world industry collaboration, ensuring graduates can bridge creative and technical domains. The programme is fully taught in English and attracts both design-savvy engineers and technology-oriented designers, preparing them for careers in multidisciplinary teams. Graduates will be equipped to work as studio engineers, design mediators, or project coordinators in the evolving mobility sector.
What you'll do
- Develop innovative design solutions at the intersection of creative and technical domains using AI tools.
- Collaborate in multidisciplinary teams to bridge design and engineering disciplines.
- Apply machine learning and data mining techniques to solve real-world mobility challenges.
- Conduct project-based work in AI-driven design processes, including technical product development.
- Write and defend a Master’s thesis in the final semester, integrating theoretical and practical knowledge.
- Engage in industry projects and partnerships to ensure practical, real-world applicability of skills.
- Participate in intercultural and international projects to broaden global perspectives on design and engineering.
Requirements
Degree required: Bachelor’s degree or equivalent in engineering or design from an accredited university with at least 210 ECTS credits (or equivalent).
Language: English proficiency level B2 (IELTS Academic: 6.5 or TOEFL iBT: 90 before 2026) and German proficiency level A1 (official certificate required).
Instruction: English
- Proven academic background in engineering or design disciplines.
- Basic proficiency in technical product development and design processes.
- Ability to work collaboratively in multidisciplinary teams.
- Familiarity with fundamental concepts in data mining and machine learning.
- Minimum grade of 2.5 according to the German grading system (or equivalent).
- Applicants must hold a Bachelor’s degree or equivalent in engineering or design.
- Minimum of 210 ECTS credits (or equivalent) required; less than 210 credits may be accepted with additional internship or module completion.
- No nationality restrictions; open to applicants from all countries.
- No age restrictions mentioned.
Funding & terms
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: 2024-11-05 to 2024-11-30 (summer semester) or 2025-04-15 to 2025-05-31 (winter semester)
Applicants must submit their application through the official Hof University portal. Required documents include a completed application form, proof of degree, transcripts, language proficiency certificates, and a motivation letter. Additional requirements may include proof of internship hours or module completion if credits are insufficient. Applications are processed via the Primus application system.
- Completed application form
- Proof of Bachelor’s degree or equivalent
- Transcripts showing at least 210 ECTS credits (or proof of additional internship/module completion if credits are insufficient)
- Official German language proficiency certificate (A1 level)
- Official English language proficiency certificate (B2 level)
- Motivation letter
- Proof of internship hours (if applicable)
- Passport or ID copy
Contact
International Office· Admissions Support
https://www.hof-university.com/studying-at-hof-university/application-and-admission.html
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.