Overview This English-taught Master’s programme focuses on contemporary engineering challenges such as artificial intelligence, the circular economy, and smart technologies. The curriculum combines technical and managerial perspectives so you can both devise engineering solutions and communicate them effectively for international manufacturing and engineering organisations. Throughout the degree you will develop the ability to optimise processes, solve complex problems and address the economic, social and environmental issues facing a globalised world.
Interdisciplinary, applied learning The course emphasises a mix of theoretical foundations and hands-on skills across technology, science and engineering. You will gain methodological know-how and practical competencies that apply across different engineering and technology domains, while learning to navigate the interface between business and engineering. A deliberate focus on the economic, financial and social dimensions of the global market prepares you to evaluate technical choices in their wider market and societal context.
Why this is useful for international students The programme’s international orientation and English instruction make it suitable if you plan to work in multinational teams or global companies. Its balanced technical–managerial profile equips graduates to contribute in areas such as operations, product and process development, sustainability initiatives, and technology management across borders.
Key learning outcomes (what you will acquire)
The program combines core industrial engineering topics with international management to give you both technical and business capabilities. You will take modules covering Industrial Engineering Tools and Processes, Engineering and Sustainability, International Management, and Financial Management. Together these courses focus on process design and optimization, integrating sustainability into engineering projects, cross-border managerial practices, and the financial decision‑making needed in industry.
In the second semester you choose one of two specializations—Digital Industry and Smart Production or Data Science and Machine Learning—so you can shape the degree to match your career goals. The Digital Industry track emphasizes automation, smart manufacturing concepts and Industry 4.0 technologies, while the Data Science track focuses on analytics, predictive modeling and machine‑learning applications for industrial problems.
You must hold a university entrance qualification and a completed Bachelor's degree totalling 180 ECTS. To satisfy the German Qualifications Framework for Industrial Engineering, your prior degree must also include specific subject- and project-based components.
In practice, this means the admissions office will check how your undergraduate credits are distributed. Be prepared to submit official transcripts and, if requested, course descriptions or a syllabus so the evaluator can verify that you meet the STEM and thesis/project credit minima.
Winter Semester (International)
It is possible to submit applications all year round.
Graduates are prepared for roles at the interface of engineering and business in international manufacturing and technology firms. Typical employers include industrial manufacturers, technology providers, consulting firms and supply-chain organisations where graduates can work on process optimisation, production management, Industry 4.0 projects, sustainability initiatives and the deployment of AI-driven solutions.
Job functions commonly taken up by alumni include process/production engineer, industrial data scientist, operations or product manager, sustainability manager, and technical consultant. The programme’s combination of technical and management training also supports progression into leadership roles or further academic study (e.g., PhD) in engineering, industrial engineering or management-related fields.
Hochschule der Bayerischen Wirtschaft (HDBW) — München
Hof University of Applied Sciences — Hof
Stralsund University of Applied Sciences — Stralsund
Technische Universität Braunschweig — Braunschweig