Artificial Intelligence for Industrial Applications (MSc)

This English-taught MSc programme provides a thorough grounding in how artificial intelligence works and how it is applied in industry. Core topics include machine learning, natural language processing and computer vision, taught with solid theoretical foundations and current research perspectives. The curriculum balances theory with hands-on work: you will analyse data, train and evaluate AI models, and design and prototype complete AI systems during practical, small-group projects and seminars.

Teaching is research-led and application-oriented, delivered by professors with strong research records together with practitioners from the AI field. Elective modules focus on industrial applications—particularly in smart factories—but also cover domains such as the energy sector and medical technology to broaden your career options. Modern AI laboratories equipped with up-to-date technology and high-performance GPU computers support project work with current tools and workflows, preparing graduates for roles in the digital working world or further research.

Key facts / requirements

• Language of instruction: English
• Main subject areas: machine learning, natural language processing, computer vision
• Teaching approach: theory + current research + application-focused projects
• Practical work: design and prototype AI systems in small groups; team and individual projects/seminars
• Application domains highlighted: smart factories, energy sector, medical technology (and related industrial fields)
• Facilities: modern AI labs with high-performance GPU workstations
• Faculty: professors with international research experience and lecturers from industry
• Degree awarded: Master of Science

The programme is organised as a bridge semester followed by three semesters of master's study. The bridge semester helps international students settle on campus, learn university procedures (administration, online learning, curriculum), and get to know the local culture. It is also designed to close knowledge gaps needed for the MSc, with courses offered in winter and summer that train teamwork, project planning, scientific report writing, problem-based learning and intercultural competence.

During the three main semesters you move from core theory to hands-on application of modern AI for industrial settings. You will cover fundamentals (machine learning, databases, NLP, deep learning, computer vision, robotics) and apply them in practical projects and lab work that explore AI in different real-world scenarios. Soft-skill modules (e.g., self-organisation and leadership, scientific writing) prepare you for professional life and research. The programme includes elective options (for example AI security, embedded intelligence, energy management with AI) and culminates in an independently planned research project and a written Master’s thesis. All instruction is in English and successful completion awards the academic degree "Master of Science (MSc) for Artificial Intelligence for Industrial Applications".

Key modules (example sequence)

• Bridge semester: Introduction to Robotics (team work); Medical System Engineering (individual work); Industry 4.0 project (project work); three additional bridge modules; A2 German language course
• 2nd semester: Self Organisation and Leadership; Machine Learning; Modern Databases and NoSQL; Natural Language Processing; AI conference; elective modules
• 3rd semester: AI Project; Deep Learning; Computer Vision and AI; Autonomous Robots; elective modules
• 4th semester: Scientific Writing; Master’s Thesis (research project and thesis writing)

Core learning outcomes

• Integrate theoretical foundations and practical skills for industrial AI applications (ML, DL, CV, NLP, robotics)
• Plan and run team-based and individual projects using scientific methods and project management techniques
• Design, implement and evaluate AI solutions in diverse application scenarios through lab work and project practice
• Communicate research results and technical reports effectively; demonstrate scientific writing competence
• Develop intercultural competence and soft skills (self-organisation, leadership) needed for international work environments
• Specialise via electives in areas such as AI security, embedded intelligence or energy management with AI

Graduates are prepared for technical roles in industry such as AI/ML engineer, computer vision specialist, robotics and automation developer, and data scientist within smart factories, energy companies, medical technology firms and system integrators. The programme's strong project orientation and hands-on lab experience with modern AI tools make alumni attractive to R&D departments, industrial automation companies, and AI-driven startups.

The degree also provides a foundation for research-oriented careers or further academic study; students with strong results may pursue PhD opportunities or roles in applied research institutions. Elective modules allow specialization that can align careers toward embedded intelligence, AI security, or domain-specific applications (e.g., healthcare or energy).