Applied AI for Digital Production Management, MEng
A specialized master’s programme blending AI, production, logistics, and technology management for industry innovation.
Best for:Best for engineering graduates with a background in industrial engineering or related fields, seeking to specialize in AI-driven production and logistics with career opportunities in German tech and manufacturing sectors.
Overview
This Master of Engineering (MEng) programme at Deggendorf Institute of Technology focuses on integrating AI with production, logistics, and technology management to prepare graduates for high-demand roles in digital manufacturing. Students engage in hands-on case studies and projects co-supervised by industry engineers from leading firms, ensuring practical, real-world experience. The programme is taught entirely in English and includes integrated German language training to support career entry into top German technology companies. Graduates emerge with a strong foundation for research, development, or doctoral studies, equipped to drive digital transformation in manufacturing industries.
What you'll do
- Develop and apply machine learning models to optimize production and logistics processes.
- Participate in three practical case studies, including dedicated AI projects co-supervised by industry engineers.
- Complete a master’s thesis and seminar series focused on career development in German technology firms.
- Engage in integrated German language training and intercultural workshops to enhance employability.
- Collaborate with industry partners to solve real-world challenges in intelligent production systems.
- Analyze and design digital tools for development and production environments.
- Conduct research on advanced topics such as intelligent systems, digital production, and quality/sustainability in manufacturing.
Requirements
Degree required: Bachelor's degree or equivalent qualification with at least 210 ECTS credits in industrial engineering or a closely related engineering discipline.
Degree offered: Master of Engineering (MEng)
Language: English proficiency at B2 level (certified via TOEFL, IELTS, or equivalent). No minimum German language level required at entry, but an A2 German certificate must be provided by the end of studies.
Instruction: English
- Strong background in mathematics, physics, production & logistics, statistics, simulation, and computer science.
- Proficiency in English at B2 level or equivalent (certified).
- Basic understanding of machine learning and deep learning principles.
- Ability to work in a cross-cultural and international environment.
- Applicants must hold a Bachelor’s degree or equivalent qualification with at least 210 ECTS credits.
- No nationality restrictions; open to all countries.
- No age restrictions mentioned.
- No prior work experience required.
Funding & terms
Programme and admissions
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How to apply
Deadline: 15 October - 1 December (summer semester), 15 April - 15 June (winter semester)
Applicants must submit their application through the official university portal. Required documents include a CV, proof of degree, language certificates, and any additional qualifications (e.g., GATE/GRE scores). An entrance exam (online or on-campus) will be conducted for eligible candidates after the application deadline.
- CV
- Proof of Bachelor’s degree or equivalent qualification
- Official English language proficiency certificate (B2 level)
- German language certificate (A2 level, required by end of studies)
- GATE or GRE scores (optional, for non-Lisbon Recognition Convention applicants)
- Application fee of 60 EUR (non-EU/EEA students)
Contact
International Office· Admissions and Accommodation Support
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