Intelligent and Autonomous Systems

Overview

This Master’s programme builds the technical and theoretical foundations needed to design and implement intelligent, autonomous systems. It places particular emphasis on applied artificial intelligence, with strong thematic links to robotics, medical applications, and industrial automation. Coursework and learning activities target the skills required to create systems that perceive, decide and act autonomously in real-world settings.

Practical and research-led learning

Students benefit from the EFI faculty’s research focus—such as work in mobile robotics—which creates an environment where taught concepts can be put into practice. The programme is structured so that concepts learned in classes can be tested and expanded through a practical project or the final thesis, giving you hands-on experience in building and evaluating autonomous solutions.

Why this might suit you

Taught in English, the programme is designed for those who want to work at the intersection of AI and embodied systems, especially in areas like robotics, healthcare technology and automation. If you are looking for a programme with direct links between coursework and applied research, the practical project and thesis options provide attractive opportunities to gain real-world experience.

Key facts & next steps

• Degree awarded: Master of Arts
• Academic field: Computer Science
• Language of instruction: English
• Main application areas: robotics, medicine, automation technology
• Research emphasis example: mobile robotics (EFI faculty)
• Practical components: practical project and final thesis with opportunities to work on applied research
• Admissions and specific entry requirements: not specified here — check the university’s official programme page for details on prerequisites, application documents and deadlines

Key components and learning outcomes

• Duration and format: full-time, 3 semesters with a strong emphasis on applied, project-based learning and a final thesis.
• Core focus areas: applied AI methods for robotics, medical applications and automation technologies; topics combine algorithmic foundations with real-world system development.
• Practical and research elements: projects and the master’s thesis are embedded in the EFI faculty’s research environment (e.g. mobile robotics), giving hands-on experience in designing, implementing and testing autonomous systems.
• Outcomes: graduates will be able to develop, evaluate and integrate intelligent components into robotic and automated systems, communicate across multidisciplinary teams, and carry out applied research or product development tasks.

Graduates are prepared for technical roles designing and building intelligent, autonomous systems—positions such as robotics engineer, AI/ML engineer in medical technology, automation specialist, or developer of embedded autonomous systems. The programme’s project- and research-oriented structure also suits entry into R&D teams in industry and research institutions.

With practical experience from faculty-led projects and a thesis tied to active research, alumni can move into applied product development, system integration roles, or continue in research-focused careers where expertise in AI-driven autonomy is required.