Quick Facts
- Duration of study: 2 semesters
- ECTS credit points: 34
- Academic degree: Final Certificate of TU Graz
- Language of instruction: English
What is an Extension Programme?
Within the framework of an extension degree programme, you can acquire additional skills in a subject during or after completing a Master's or diploma degree programme in order to strengthen your professional profile and increase your career opportunities.
Join the Info Event
Date: 15 September 2025, 4 p.m.
Location: HS I (Rechbauerstraße 12/1 - TU Graz)
Find out everything you need to know - from course content to career opportunities. Meet the lecturers and ask your questions personally. Details on the event
The Extension Programme
In two semesters you will acquire the basics of computer science and artificial intelligence (AI), learning to apply modern AI methods to your area of expertise.
The training comprises numerous courses from the fields of computer science and engineering. You will receive insights into data science, predictive analyses and automation solutions and develop your own AI models in interdisciplinary projects. Among other things you will train neural networks and work with current technologies such as TensorFlow or PyTorch.
You will have the opportunity to work on real-world problems from the field of industry and research and to develop solutions in teams. In the Programme, you will also reflect on ethical, legal and social challenges of working with artificial intelligence.
Focus Areas
You will complete two compulsory modules and study the following topics in depth:
- Programming (Python)
- Data structures and algorithms
- Machine learning and pattern recognition
- Neural networks and deep learning
- Reinforcement learning
- Ethical, legal and social aspects of AI
- Practical application (seminar project)
Range of potential applications
Innovative AI methods are deployed in numerous industries to solve complex problems. Examples include:
- Predictive analyses in medicine in order to predict the course of diseases and provide assistance for therapy decisions
- Optimisation in production and logistics processes in order to cut costs and use resources sustainably
- Analysis of large volumes of business data to identify market trends
- Automation in industry, from predictive maintenance to real-time control of complex systems
- Development of self-driving vehicles for tomorrow’s mobility
- Intelligent assistance systems that help people in everyday life, work or care
- Chatbots in customer service for automated, interactive handling of inquiries
Admission
1. Admission Procedure
You can study the Extension Programme Artificial Intelligence Engineering if you
- have been admitted to any Master’s degree programme at TU Graz (with the exception of the Master’s degree programmes in Computer Science, Information and Computer Engineering, Software Engineering and Management) or
- have completed a Master’s degree programme in engineering or natural science.
2. Admission
- Admission and deadlines for Austrian students who are beginning their studies at TU Graz for the first time
- Admission and deadlines for international students
- If you are or were already admitted to a degree programme at TU Graz, please come to the TU Graz Registrar’s Office in person during the admission period or contact study@tugraz.at.
Fragen zur Zulassung?
Contact study@tugraz.at
