
Artificial Intelligence and Industrial Digitalisation
Bachelor of Engineering
Artificial Intelligence and Industrial Digitalisation are shaping modern production facilities – from smart sensor technology and networked machines to automated quality control.
Key Information
Programme Overview
The programme provides practical knowledge at the intersection of artificial intelligence, automation and digital transformation. On the programme, you will learn:
- how to structure, analyse and specify complex production systems
- how to work with production systems in practice and how to programme AI-based applications
- expert knowledge in the fields of artificial intelligence, image processing, digitalisation, applied automation technology and the digital twin
- additional knowledge of industrial working practices, systems thinking and teamwork
Through practice-oriented teaching involving laboratory work and project-based tasks, students are optimally prepared for the challenges of the digitalised, networked industry and the smart factory.
With us, you will learn in a practical manner and establish contacts within the industry whilst still studying.
A key feature of this degree programme is the wide range of optional modules, which allows you to focus on your own areas of interest. Practical laboratory sessions form an important part of the programme.
Specialisation
In the third year of study, you have a great deal of freedom to choose your own path and can set your own priorities based on the insights gained during the work placement semester. You can also take various lectures from other degree programmes within the faculty. Naturally, modules on management and soft skills are also offered.
Applied Project
Specialisation and Technical Electives (Lectures and laboratories)
There are 4 specialisation tracks availablle as per the elective table.
The degree programme culminates in the Bachelor’s thesis, in which a project is independently planned, organised and carried out at the university or in collaboration with a company.
Career and Perspectives
The increasing digitalisation and networking of production facilities are fundamentally transforming industry: modern production facilities are not only interconnected internally, but also interact with the outside world, for example in logistics and digital business models. In doing so, these facilities become part of a large digital ecosystem which, supported by machine learning and artificial intelligence technologies, operates in an increasingly automated and optimised manner.
This technological development is accompanied by a growing demand for qualified engineers who possess interdisciplinary skills in the fields of production engineering, digitalisation, AI and machine learning (ML).
Thanks to their interdisciplinary training, graduates are in demand across various sectors in industry, at IT companies, in research or at start-ups, and are ideally prepared for the digital future.









Programme Structure / Curriculum
In the Artificial Intelligence and Industrial Digitalization degree program, you will gain an understanding of the development and application of intelligent systems that, through AI and digital technologies, are shaping the future of manufacturing solutions.
During the basic studies, you will learn all the necessary fundamentals in mathematics, computer science, physics, mechanics, and electrical engineering. In the advanced and specialization phases, you will have the opportunity to focus on your interests and strengths.
Our program is practical-oriented, allowing you to establish connections with the industry during your studies—for example, through an internship semester or a bachelor's thesis in an industrial company.
- 1st and 2nd semester
- 3rd and 4th semester
- 5th semester (Industry Internship)
- 6th and 7th semester
- Documents
Engineering Fundamentals:
- Mathematical and scientific fundamentals
- Mathematics 1 & 2
- Physics
- Electrical Engineering 1 & 2
- Computer Science
- Computer Science 1
- Computer Science 2
- Technical Mechanics & Design
- Technical Mechanics 1, 2 & 3
- Fundamentals of Design and Manufacturing
- Automation and Digital Technology
- Automation Technology
- Fundamentals of Digital Technology & Computer Architectures
The basic studies contain basic engineering knowledge and also basic knowledge of mechatronics and robotics.
A compulsory German language course is part of the programme.
- Mathematics
- Physics (including laboratory practise)
- Informatics
-Programming 1
-Programming 2 - Electrical Engineering
-Electrical Engineering and Electronics 1
-Electrical Engineering and Electronics 2
-Electrical engineering lab - Engineering Mechanics
-Engineering Mechanics 1
-Engineering Mechanics 2
-Engineering Mechanics 3 - Engineering materials
-Metals
-Polymers - German Language and Academic Skills
-German Language & Academic Skills 1
-German Language and Academic Skills 2
- Artificial Intelligence
- Introduction to AI
- Data Science and Applied Mathematics
- Neural Networks & Deep Learning
- Smart Factory
- Industrial Digitalization
- Connected Machines
- Digital Twin
- Robotics
- Motion Control with Laboratory
- Integrated Robotics with Laboratory
- Computer Vision
- Measurement and Control Technology
- Fundamentals of Measurement Technology
- Laboratory for Physical Measurement Technology
- Control Engineering
- Elective Courses
The main studies broaden the basic knowledge from the basic studies and teach a broad range of specific subjects. Lectures are complemented by practical exercises in our state-of-the-art laboratories.
- Specialisations and technical electives (lectures and labs)
- Control systems and metrology
-Sensors
-Signals and systems
-Control technology
-Control technology lab - Mechatronic Engineering
-Manufacturing Technology
-Engineering Design
-Microcontrollers - Data Science
-Computer Aided Design
-Mechanics of materials
-Machine elements - Introduction to AI
The newly acquired knowledge and skills are then applied during the internship semester, where students independently work on specific engineering tasks within an industrial company.
Key aspects:
- Hands-on experience in an industrial setting
- Real-world engineering tasks
- Independent work under professional conditions
- Interaction with experienced engineers
- Compensation
- Opportunities abroad, if interested
The new knowledge and skills will be applied in the practice semester where all students work independently on engineering tasks in an industrial firm.
- Practical experience
- work in an industrial enterprise
- get to know different specific engineering tasks
- independent work
- realistic working conditions
- networking with experienced engineers
- salary
- also possible abroad
In the advanced studies, you have great flexibility and can define your own specializations based on insights gained from the internship semester. Additionally, you can take lectures from other degree programs within the faculty. Of course, courses on management and soft skills are also offered.
- Application Project
- Advanced and Technical Electives (lectures and labs)
The final stage of the programme is the bachelor’s thesis, in which students independently plan, organise, and execute a project either at the university or in collaboration with a company.
The completion of your bachelor’s degree allows you to either enter the workforce or optionally continue your studies in one of our master’s programmes.
Requirements and Application
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