Intelligent Systems (ISY)

Overview

Digital information is expanding at an unprecedented pace — driven by the digitisation of media and processes and the ubiquity of social networks. Those who can systematically analyse, organise and exploit these interconnected data streams gain a clear competitive edge. The Intelligent Systems master builds on this reality by training you to both understand and create systems that extract value from vast, complex datasets.

This application-focused Master of Science (three semesters) takes a scientific, research-informed approach to topics in artificial intelligence and data science. Rather than relying solely on explicit programming, the programme emphasises methods that enable systems to learn from data. Over the course of the degree you will be prepared to design, implement and manage complex, distributed and large-scale intelligent systems relevant to industry and academic research.

What you can expect

• A practice-oriented curriculum grounded in scientific methodology that connects current research in AI and data science to real-world applications
• Training geared toward roles in applied computer science, as well as preparation for managerial or research-driven careers
• Instruction delivered in English and structured for completion within three semesters — suitable for international students seeking a compact, advanced qualification

Admissions / key facts (check the official programme page for full details)

• Degree: Master of Science
• Length: 3 semesters
• Language of instruction: English
• Academic field: Computer Science (focus on AI and data science)
• Orientation: Application-oriented; prepares for both industry and research roles
• Note: Specific entry requirements (required prior degree, documentation, language proof, application deadlines, visa and funding information) are set by the university — consult the official programme webpage or admissions office for exact criteria and application guidance.

This MSc curriculum is organised around four core subject areas: Artificial Intelligence; Design and Realisation of Complex IT Systems; IT Management; and Elective Modules. Together these streams cover both the theoretical foundations and practical engineering skills needed to develop intelligent software and systems. Electives let you tailor the programme to your interests, for example by deepening AI methods, systems engineering, or management perspectives.

A central element is the Intelligent Systems Project, carried out across the programme’s first two semesters. Small teams of four to six students work on topics drawn from the department’s current research, giving hands‑on experience in project planning, system design, implementation and evaluation. This sustained, research‑oriented project emphasises collaborative development, problem solving and the transfer of research ideas into working prototypes.

On successful completion you receive the academic degree Master of Science. Lectures and coursework are offered in English to accommodate international students, ensuring you can follow advanced topics and participate fully in team projects and research activities. Graduates emerge with a blend of AI knowledge, systems‑level engineering skills and practical project experience that prepares them for research roles or advanced industry positions.

Requirements (programme‑specific)

• Complete modules across the four subject groups: Artificial Intelligence; Design and Realisation of Complex IT Systems; IT Management; Elective Modules
• Participate in the Intelligent Systems Project, conducted over the first two semesters
• Work in project teams of 4–6 students on topics linked to the department’s research
• Attend lectures and complete coursework delivered in English
• Fulfil all academic assessments to be awarded the Master of Science degree

Graduates are prepared for roles in industry and research that require the design, implementation and evaluation of intelligent, data-driven systems. Typical career paths include applied research positions, software and systems engineering roles focused on AI and large-scale distributed systems, and technical management or product leadership positions where both technical expertise and strategic understanding are required.

The programme’s project-based training and emphasis on current research topics also provide a solid foundation for continuing to a PhD or other research careers in academia and research institutions.