What does the Industrial Artificial Intelligence (IAI) Master's programme look like? 

The programme combines theory and practice within the framework of projects. Learning by doing is at the centre of the course. Different specialisations are taught in each semester:

• The Industrial Operation and Transformation specialisation deals with the relevant AI application areas and the associated, marketable AI tools that shape everyday practice
• The Artificial Intelligence and Data Engineering specialisation provides in-depth knowledge that enables you to independently develop and refine AI tools and thus make an important contribution beyond the practical application of tools.

Semester structure / programme content

You will acquire comprehensive knowledge in AI-orientated Python programming, machine and deep learning as well as generative AI. You will also expand your knowledge of big data, data science and data engineering. This knowledge is supplemented by practical knowledge of application software packages from well-known manufacturers (e.g. Microsoft, SAP, Siemens, AWS), which deal with topics such as ERP systems, cloud computing, robotic process automation, business intelligence and analytics.

Your future: 

what you can achieve with your degree

With your degree, you will have a wide range of career opportunities, some of which we cannot even fully assess today. In addition to the traditional areas of employment / job offers, there are also new areas of employment for IAI Master's graduates that are being created by AI in companies. 

These include the following jobs: 

• AI engineer - These are responsible for integrating artificial intelligence into existing industrial systems or developing it for these systems themselves.
• AI consultant - They carry out analyses and develop concepts for the introduction of AI technology and its application to increase costs and efficiency in industrial business areas.
• AI-Business Developer - Has to develop and implement AI/ML models and solutions for specific business challenges.
• AI-Product Manager - A specialist to oversee, create and manage products that utilise AI technologies.
• AI-Research Scientist is a professional who conducts research and development in the field of artificial intelligence.