Cognitive Systems (Master of Science) at Ulm University
Ulm University•Ulm
- Degree type
- Master's Degree
- Subject
- Computer Science & IT
- Language
- English
- Duration
- 4 semesters (~2 years)
- Tuition fee
- €1,500
- Minimum GPA
- 2.5
- English requirement
- C1
- Admission type
- Restricted (Numerus Clausus)
- Application method
- via uni-assist
- City
- Ulm
- Winter deadline
- 15 May
At a glance
- Minimum GPA: 2.5
- English: C1
- Admission: Restricted (Numerus Clausus)
- Tuition: €1,500
Overview
The Cognitive Systems (Master of Science) program at Ulm University is a Master's Degree pathway in Computer Science & IT, taught primarily in English. The curriculum balances core fundamentals with specialised modules, giving graduates a competitive, globally relevant profile.
To be considered, applicants typically need a competitive German GPA (around 2.5 or better) and English at C1 level. Admission to this program is restricted (numerus clausus). Applications are submitted via via uni-assist.
The program spans 4 semesters and costs approximately €1,500 in tuition. Key application deadlines are 15 May for the winter intake.
MSc Cognitive Systems @ Ulm University Understand Cognition. Engineer Intelligence. Cognitive systems enable humans and machines to perceive their environment, learn from experience, make decisions, solve problems, and interact intelligently. Whether grounded in the human brain or implemented in technical systems like robots and smart devices, cognitive capabilities are key to promote innovation in today’s digital world. The English-taught Master’s programme in Cognitive Systems at Ulm University offers a unique opportunity to understand, empirically explore and shape these capabilities through an interdisciplinary lens. What makes this programme special? Truly interdisciplinary : At Ulm University, Engineering, Computer Science and Psychology are part of the same faculty. This allows us to integrate theoretical, empirical, and computational approaches to cognition in a seamless and collaborative way. Research meets real-world application : From psychophysical studies and psychological testing to the development of intelligent technical systems, you’ll learn to connect human cognition with machine intelligence – both in theory and hands-on practice. Future-oriented and versatile : Our graduates are prepared for careers in cutting-edge fields such as intelligent robotics, cognitive assistance systems, smart vehicles and devices, AI in healthcare, and human-computer interaction – or for further academic research. In this programme, you will study the foundations, principles and mechanisms behind perception, learning, memory, reasoning, and interaction – and learn how to model and implement these abilities in both humans and machines. You’ll investigate cognitive functions through experiments and simulations, and apply your knowledge to the development of intelligent systems aiming to improve and support human action and performance.
Requirements can change, so always verify the latest details on the official program page before applying.
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