AI Engineering
Fachhochschule Technikum WienWien, Austria
Fee for international students
- Intakes
- Not published
- Duration
- 4 semesters
Programme facts
- Level
- Master's
- Duration
- 4 semesters
- Language of teaching
- German
- Study mode
- Not published
- Credits
- 120 ECTS
- Intakes
- Not published
About this programme
Become a specialist in AI and Data Science through a curriculum that emphasizes deep algorithmic understanding, practical applications, cutting-edge tools, and strong industry relevance. Our updated AI Master’s program will start in fall 2026. Applications for the Autumn 2027 intake will be accepted from October 2026 onward. Intelligent systems are already deeply embedded in our lives: generative AI creates text, images, and code; chatbots and virtual assistants interact naturally with users; autonomous systems navigate cars and drones; and smart devices coordinate connected homes. In science and medicine, AI models predict protein structures, accelerate drug discovery, and support diagnostics through large-scale image and data analysis. UAS Technikum Wien offers an updated AI Master’s program for professionals with a technical or analytical background who want to deepen their expertise in AI and data-driven technologies. Students learn to connect data and decision-making, designing AI solutions that create real value across business, technology, and society. The curriculum provides an in-depth grounding in AI algorithms and computational methods, enabling the students to build intelligent systems or apply cutting-edge frameworks. Through hands-on projects, students tackle real-world challenges in automation, analytics, and intelligent decision-making while developing leadership and innovation skills for global AI-driven environments. Evening classes, small groups, and close ties with industry partners ensure that your studies remain relevant, applicable, and future-orie
Entry requirements
Typical for this university, not this programme's own requirement.
- IELTS6 overall
Source: study-in portal / university sector norm
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