applied aI for digital production management, m.eng.
Faculty of Applied Natural Sciences & Industrial Engineering
- Balanced Learning: Benefit from a rich mix of lectures, seminars, and hands-on engineering projects.
- Personalised Support: Learn in small study groups with direct access to your lecturers.
- Industry-Driven AI Projects: Solve real-world challenges through three practical case studies.
- State-of-the-Art Labs: Conduct research in advanced facilities built for AI and automation.
- German Language Training: Build foundational German skills through on-campus language courses designed to support your local career entry.
- Vibrant Campus Community: Join an inspiring, multicultural student network at Campus Cham.
Course Overview
Three AI case studies will help you to analyse problems independently and apply proposed solutions. These are an integrated element of the masters programme in the first and second semester. Read on to find out more details about each case study:
This case study in the first semester focuses on a topic from the areas of Machine Learning and Deep Learning in Production & Logistics, Advanced Statistical Methods & Optimisation, Data Management and Production Data Management (Acquisition and Control). Get to know and test existing techniques and learn to understand where limits are, including the range of possibilities using ML/DL in comparison to conventional optimisation methods.
summer semester 2024
winter semester 2024/2025
This case study in the second semester covers a broad range related to production and production-related topics. For example, in the module "Intelligent Systems" of MSS, you could study text classification, chatbots, road damage detection, recognition of vehicles (traffic monitoring) and even the lifetime prediction of sensors.
This case study in the second semester focuses on concrete topics in "Digital Production Systems". This means design, improvement, and implementation of cyber-physical production systems (e.g. networking of systems with each other and with the internet), in addition to the simulation of production systems with specialised software packages, e.g. AnyLogic or Open Modellica.
After completing my Bachelor’s in Venezuela, I wanted to embrace a greater challenge and explore cutting-edge industry trends. Therefore, I decided to pursue my Master’s in Germany. At Campus Cham, I learned the AI fundamentals, understood its societal impact, and gained hands-on experience on its applications. Moreover, adapting to a new system, language, and culture, while thriving in an environment that encourages initiative and innovation, has made this experience highly rewarding.
I was interested in studying a master’s degree abroad because I wanted to acquire new experiences that would help me grow not only in my career but also as a person. As a student in the “Applied AI for Digital Production Management” master’s programme at Campus Cham, I learned diverse courses through case studies, which boosted my career. I made many exciting experiences and tackled new challenges: from meeting new friends and discovering German culture to working on AI projects and even trying to understand a few phrases in Bayrisch.
My passion for production management, particularly in the areas of supply chain management, logistics, data management, quality and sustainability management as well as my curiosity about how AI influences these domains motivated me to pursue a master’s degree with diverse specialisation. When I came across the master's programme “Applied AI for Digitial Production Management” offered by Campus Cham, I knew it was the perfect opportunity to realise my academic and professional goals. Studying at Campus Cham has been a truly rewarding experience – from the beautiful and peaceful location to the incredible expertise of highly knowledgeable lecturers. The diverse community of classmates from around the world has enriched my learning experiences, allowing me to exchange innovative ideas and perspectives.
Gain advanced expertise across production, logistics, and technology management, equipping you to lead and deliver complex engineering projects.
- Machine Learning Methods: Advanced algorithms for intelligent automation and data-driven systems.
- Big Data & Cloud Analytics: Scalable data processing architectures, cloud computing, and industrial IoT data pipelines.
- Statistical Methods & Optimization: Modern quantitative techniques and mathematical optimization procedures for complex engineering systems.
- Production & Logistics Management: Strategic planning, supply chain optimization, and smart operations.
- Digital Production Systems: Architecture, integration, and management of interconnected Smart Factory environments.
- Digital Engineering Tools: Cutting-edge digital tools driving modern product development, simulation, and manufacturing.
- Quality & Sustainable Engineering: Sustainable production frameworks, quality assurance, and lifecycle management in digital manufacturing.
Module Overview
Overview of lectures and courses, SWS (Semesterwochenstunden = weekly hours/semester) and ECTS (European Credit Transfer and Accumulation System) in the master's programme "Applied AI for Digital Production Management":
Career Prospects
Prepare for key engineering roles in top-tier semiconductor, automotive, and technology companies leading the digital revolution. Whether in R&D, quality management, or smart manufacturing, your expertise will be in high demand.
What you could be working on:
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Predictive Maintenance: Using machine learning to anticipate machine servicing before breakdown occurs.
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Outlier Detection: Identifying subtle manufacturing defects early using data analytics.
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Automated Sensor Testing: Generating lifespan models in our Sensor Lab to test hardware endurance under stress.
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Data-Driven Improvement: Refining products through deep analysis of production data.
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Smart Inventory Planning: Optimising stock levels using predictive consumption data.
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Smart Factory Upgrades: Networking machines and implementing IoT connectivity across manufacturing plants.
Take advantage of the exceptional career opportunities awaiting you in smart manufacturing!