Overview
The Applied Artificial Intelligence for Digital Production Management M.Eng. programme at Deggendorf Institute of Technology offers lectures combining machine learning, data analysis, data management and intelligent systems, which will help you to deepen your understanding of innovative methods of data processing.
In addition to this, modules in Advanced Statistical Methods & Optimisation will prepare you for the increasing demands of AI in production, logistics and technology management. The theory you study will be put into practise through three case studies in AI, intelligent systems in production, and production systems, which are created and supervised by engineers from manufacturing companies.
Course objectives
You will gain expertise in production, logistics and technology management which will enable you to manage or accompany technical projects in your future career. You will become an expert in:
- Machine learning methods
- Data processing methods (including cloud computing, big data)
- Modern statistical methods and optimisation procedures
- Production and logistics management
- Digital production systems
- Digital tools in development and production
- Quality and sustainability
Career prospects
After graduating, you are open to a wide range of career opportunities in all companies that handle large amounts of data, e.g. companies from the car or semiconductor industry including their suppliers, and other companies that want to manage digitalisation in their production processes. There are a range of engineering positions focusing on digital production systems open in areas such as development, production, production planning and management, quality management, or research and teaching.
Programme Structure
Courses include:
- Machine Learning and Deep Learning in Production and Logistics
- Advanced Statistical Methods & Optimisation
- Data Management
- Digital Tools in Development and Production
- Technology and Innovation Management
- Advanced Intelligent Systems
- Digital Production Systems
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Cham, Germany
Disciplines
Industrial & Systems Engineering Supply Chain Management & Logistics Artificial Intelligence View 32 other Masters in Supply Chain Management & Logistics in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Successful completion of an undergraduate study programme with at least 210 ECTS credits from the fields of Industrial Engineering, Production Technology, Mechatronics, or a related degree programme, or by a qualification that is equivalent to such a university degree. The examination board decides on the relevance of prior degrees.
- If German is not your native language, proof of sufficient English skills is necessary.
- A successfully completed admission test. The test consists of complex tasks in Maths for Engineers, Production and Logistics, Physics, Computer Science, Statistics, and Simulation. This written admission test can be completed online or at the campus in Cham.
Student Insurance via Studyportals Partner
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Deggendorf Institute of Technology and/or in Germany, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
No tuition fees, only €72 student service fee per semester
Living costs
Cham
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Applied Artificial Intelligence for Digital Production Management.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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