This MSc programme gives you a thorough grounding in modern AI techniques and their industrial applications. You will learn AI-focused Python programming, machine learning, deep learning and generative AI, while expanding your skills in big data, data science and data engineering. The course also emphasizes practical, employer-relevant toolsets: you will work with application software from major vendors such as Microsoft, SAP, Siemens and AWS, covering areas like ERP systems, cloud computing, robotic process automation, and business intelligence and analytics.
Practical project work is central: the curriculum blends theory with hands-on, project-based learning so you build real-world experience as you study. Graduates with AI expertise are highly sought after worldwide — Statista (2024) projects the AI market to grow from 96 billion USD in 2021 to an estimated 1,848 billion USD by 2030, highlighting strong career potential.
Each semester offers a different focus through two coordinated specialisations. Industrial Operation and Transformation concentrates on the AI application domains and marketable tools that are used in everyday industrial practice. Artificial Intelligence and Data Engineering goes deeper into methods and development, enabling you to design, refine and extend AI tools—not just apply them.
Key facts & requirements
This Master's curriculum combines classroom teaching (lectures, seminars) with hands-on labs and project work to bridge AI methods and industrial practice. The programme is structured across three semesters: the first two focus on taught modules and practical projects that alternate between AI/data engineering and industrial operations themes, while the third semester is reserved for an independent Master's thesis that demonstrates your ability to apply what you've learned to a substantial research or application problem.
The course load emphasizes both technical depth in artificial intelligence and data science and applied knowledge in industrial operations and transformation. You will rotate through practical projects tied to AI & data engineering and to industrial operations, allowing you to develop end-to-end skills from data collection and model building to deploying solutions that support operational excellence and digital transformation.
This master's programme requires that applicants already hold a completed undergraduate degree. In other words, you must have earned a Bachelor's degree from an institution that is properly accredited; the qualification demonstrates that you have the foundational academic preparation expected for graduate study in Industrial Artificial Intelligence.
If you studied outside the country where the university is located, your diploma should come from a recognised higher-education institution in your home country. International applicants are usually asked to provide official documents (degree certificate and transcripts) so the admissions office can verify the award and its equivalence to the required standard.
If you have any doubts about whether your prior qualification meets the accreditation or equivalence criteria, contact the programme’s admissions team early—many universities offer country-specific guidance or a formal recognition check.
Requirements
Winter Semester (International)
31 May 2026
Summer Semester (International)
30 November 2026
Winter Semester (EU/EEA)
31 May 2026
Summer Semester (EU/EEA)
30 November 2026
Graduates are prepared for roles at the intersection of AI and industry, such as AI engineer, data engineer, industrial AI specialist, automation consultant or BI/analytics professional. The curriculum emphasises deploying AI in operational contexts—ERP integration, cloud services, robotic process automation and analytics—so alumni can contribute directly to digital transformation projects in manufacturing, services and enterprise IT.
Demand for AI expertise is growing rapidly: according to Statista (2024) the market volume is projected to rise from 96 billion USD in 2021 to an estimated 1,848 billion USD in 2030, underlining strong labour-market opportunities for specialists who can apply and develop industrial AI solutions.
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