Master of Science in Industrial Artificial Intelligence
A hybrid, practice-focused master’s programme blending AI theory, industrial applications, and cutting-edge tools from leading tech providers.
Best for:Best for graduates with a bachelor’s degree in computer science, engineering, or related fields who want to specialise in AI applications for industry, with hands-on experience in tools like SAP, AWS, and robotic systems.
Overview
The Master of Science in Industrial Artificial Intelligence at Albstadt-Sigmaringen University offers a hybrid, three-semester programme combining AI theory and hands-on industrial applications. Students explore machine learning, generative AI, robotic systems, and data engineering, while gaining expertise in software tools from companies like Microsoft, SAP, Siemens, and AWS. The curriculum integrates project-based learning, specialisations in industrial operations and AI/data engineering, and opportunities for international collaboration, including a double degree option with Guglielmo Marconi University in Rome. Designed for graduates seeking to bridge AI innovation with real-world business challenges, this programme emphasises practical skills and market-relevant tools to prepare students for high-demand roles in AI-driven industries.
What you'll do
- Develop and refine AI tools for industrial applications through hands-on projects and practical exercises.
- Apply machine learning and generative AI techniques to solve real-world business and operational challenges.
- Work with leading software tools (e.g., Microsoft, SAP, Siemens, AWS) to design and implement AI-driven solutions.
- Engage in specialised study tracks focusing on either industrial operations and transformation or AI/data engineering.
- Collaborate on interdisciplinary projects that integrate AI, data science, and business intelligence.
- Conduct independent research and develop a master’s thesis addressing a specific AI-related problem in industry.
- Participate in international projects and potentially earn a double degree through partnerships with universities abroad.
Requirements
Degree required: Bachelor's degree from an accredited university in computer science, engineering, or a related field
Degree offered: Master of Science (MSc)
Language: English proficiency at B2 level (certified by an official language test such as Cambridge English Qualifications: B2 First)
Instruction: English
- Proven academic background in computer science, engineering, or a related discipline
- Basic proficiency in programming (e.g., Python, Java, or similar)
- Understanding of fundamental concepts in machine learning and data analysis
- Ability to work in a hybrid learning environment (online and on-site)
- No German language skills required
- Open to applicants from all countries
- No age restrictions or residency requirements mentioned
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: 15 July (winter semester) or 15 January (summer semester)
Applicants must submit their application through the university’s online portal, HISinOne. Required documents include a completed application form, proof of bachelor’s degree, language proficiency certificate (English B2), and any additional documents specified on the application website. The application process is open to all countries and follows the specified deadlines for each semester.
- Completed application form
- Proof of bachelor’s degree (certified copy)
- Official English proficiency certificate (B2 level)
- Curriculum Vitae (CV)
- Motivation letter
Contact
Prof Dr Sommer· Programme Coordinator
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