Automotive Production Engineering & Artificial Intelligence (MEng)

Overview This English-language programme combines production engineering with applied artificial intelligence to equip students with the technical and digital skills that are increasingly essential in the automotive sector. By studying both areas together, you learn how AI-driven methods can be integrated into manufacturing processes—preparing you to contribute to the industry’s technology-led transformation. Because the automotive market is global and rapidly adopting new technologies, graduates can position themselves competitively for international roles that require cross-border communication and collaboration.

The course is delivered in an online and hybrid format, designed to suit professionals who wish to continue working while studying. Taught in English and aimed at an international cohort, the programme supports development of both technical expertise and intercultural communication skills—important assets for careers in multinational automotive companies and supplier networks.

Who this programme is for (key entry profile)

• Hold a Bachelor’s degree in engineering, natural sciences, computer science or business
• Have an affinity for technology and/or digitalisation topics
• Possess at least one year of relevant, qualified professional experience
• Live outside Germany but maintain a connection to Germany (for example, employment with a German company) or live in Germany and are seeking an internationally oriented, interdisciplinary programme with an online/hybrid format

This master’s curriculum runs over four semesters and is designed to build from assumed practical foundations toward independent, industry-relevant research. The programme assumes that three basic modules from the first semester are credited or transferred on the basis of prior practical experience. The first and second semesters each contain three modules; both semesters begin with an on-site kickoff event held in easily reachable locations where professors outline course plans, form student teams, hand out initial assignments, and facilitate face-to-face introductions. Participation in these kickoff events is recommended but not mandatory.

The third semester is expected to take place in Germany, providing students with exposure to the country’s industrial and academic environment. The fourth semester is dedicated to the Master’s thesis, which is written under the supervision of a professor; thesis topics can range from theoretical investigations to practical, real-world industry problems. Overall, the programme emphasizes applied problem solving, teamwork, and the translation of practical experience into advanced engineering and AI capabilities relevant to automotive production.

Key modules and learning outcomes

• Core/basic modules (first-semester content) are assumed transferable for students with relevant practical experience.
• Semester 1 & 2: three modules each that establish and deepen technical knowledge in industrial engineering and AI as applied to automotive production.
• On-site kickoff events: short, in-person sessions for course orientation, team formation, and first assignments.
• Semester 3: coursework or activities likely taking place in Germany, offering local industry and research exposure.
• Semester 4: supervised Master’s thesis addressing either theoretical topics or concrete industry challenges.

Expected learning outcomes (what you will be able to do by graduation)

• Integrate engineering principles and AI techniques to address problems in automotive production.
• Work effectively in multidisciplinary, team-based projects initiated at on-site kickoffs.
• Translate practical industry experience into advanced academic and applied competencies.
• Design and execute an independent research or application project under faculty supervision, producing a Master’s thesis with direct relevance to industry or theory.

Graduates are prepared for technical and interdisciplinary roles in the automotive and manufacturing sectors where production engineering meets digital transformation. Typical career paths include production engineer, AI/data-driven process engineer, Industry 4.0 specialist, systems integrator for IoT/MES/ERP solutions, and roles in product or technology development and digitalisation projects.

Because the programme emphasises practical skills, hybrid teamwork and industry-relevant thesis work, alumni are well-equipped to join vehicle manufacturers, suppliers, technology vendors and consulting firms involved in smart manufacturing and automotive software applications.