Artificial Intelligence Aided Mobility Design (MA)

Program overview

This English-taught master's programme sits at the crossroads of design and engineering, preparing professionals to shape the future of mobility using advanced artificial intelligence tools. It combines creative problem-solving with technical know-how so students can design faster and with greater precision. The intake is aimed at both technology-focused designers and engineers with a strong interest in design, who want to explore how AI transforms product development and mobility solutions.

What you will gain

You will build a future-ready skill set that enables you to bridge aesthetic and technical perspectives, applying cutting‑edge AI methods to develop innovative and sustainable solutions for complex challenges. The curriculum emphasizes working in multidisciplinary teams and communicating across fields, so you can operate effectively in collaborative industry environments. Close cooperation with industry partners ensures that your learning is practice-oriented and directly relevant to real-world development, while also preparing you for ongoing professional growth as technologies evolve.

Graduate outcomes (concise)

• Contribute as a designer within development teams or departments, combining technical and creative expertise in industrial design processes
• Act as a bridge between technology and design (for example, in the role of a studio engineer)
• Coordinate and steer the creative aspects of development projects, ensuring interdisciplinary alignment and innovation at the intersection of design and engineering

Curriculum overview

This three-semester Master’s program combines hands-on, practice-oriented teaching with focused research. The first and second semesters concentrate on applied theory and project work that bridge design practice with artificial intelligence and robotics; the final semester is reserved for an independent Master’s thesis. Throughout the program students alternate between technical development courses, AI-focused modules, and design-process classes to build both conceptual and implementation skills.

What you will learn

You will gain practical experience in translating AI and data-driven methods into mobility products and services. Coursework and projects cover technical product development, machine learning and data mining for mobility use cases, and contemporary AI and robotics technologies. Parallel design-process modules (general and AI-specific) ensure you can situate technical solutions within user-centered design workflows. The curriculum emphasizes project work so graduates leave with prototypes, documented design processes, and a research-informed Master’s thesis.

Career and skills outcomes

Graduates will be prepared to contribute to interdisciplinary teams in mobility design, product development, and research—able to specify, prototype, and evaluate AI-enabled mobility concepts. The program aims to produce designers who can integrate algorithmic methods into physical products and services, communicate effectively with engineers and data scientists, and lead evidence-based design projects.

Core modules and intended learning outcomes

• Technical Product Development I

  • Introduces foundational methods for turning design concepts into buildable mobility products; emphasizes materials, systems thinking, and early prototyping.

• New Technology in AI and Robotics

  • Presents current AI and robotics technologies relevant to mobility; builds familiarity with capabilities, limitations, and application contexts.

• Project I: Data Mining and Machine Learning

  • Applies data-driven methods to mobility problems through a project-based format, developing practical skills in preprocessing, modeling, and interpreting data for design decisions.

• Design Process | general

  • Covers established design methodologies and user-centered practices to structure research, ideation, and evaluation in mobility projects.

• Design Process | AI Theory

  • Focuses on design approaches tailored to AI-enabled systems, including considerations for human–AI interaction, ethical implications, and iterative validation.

• Technical Product Development II

  • Advances technical development skills toward more complex prototypes and system integration, bridging proof-of-concept work with functional demonstrators.

• Project II (AI)

  • A second, larger AI-focused project where students synthesize technical and design competencies to develop and test AI-aided mobility solutions.

• Master’s thesis (Semester 3)

  • Independent research or design project culminating in a written thesis and final deliverable that demonstrates mastery of AI-aided mobility design principles and methods.

Graduates are prepared for roles that combine creative design competence with technical understanding. Typical functions include working as a designer within development teams or departments where they contribute to industrial product and mobility design processes with both technical and creative expertise.

The programme also equips graduates to act as intermediaries between design and technology (for example, studio engineers) and to coordinate the creative aspects of interdisciplinary development projects, ensuring alignment between engineering constraints and design intent.