Master of Science in Cognitive Systems
Interdisciplinary programme blending psychology, computer science, and engineering to model and develop human and machine cognition.
Best for:Best for graduates in psychology, computer science, engineering, or related fields seeking a hands-on, interdisciplinary programme in cognitive systems and AI.
Overview
The Master of Science in Cognitive Systems at Ulm University offers a unique interdisciplinary approach to understanding and engineering intelligent systems. Combining psychology, computer science, and engineering, this programme explores how humans and machines perceive, learn, and interact with their environments. Students gain theoretical knowledge and practical experience in cognitive modelling, empirical research, and technical implementation, preparing them for careers in AI, robotics, healthcare, and human-computer interaction. The curriculum integrates foundational courses with specialised electives and hands-on projects, culminating in a research-focused Master’s thesis. Ulm University’s collaborative environment fosters innovation by bridging theoretical research with real-world applications.
What you'll do
- Study foundational principles of cognitive systems, including perception, learning, memory, and decision-making, from both human and machine perspectives.
- Develop computational models to simulate cognitive processes and apply them to technical systems like robots or AI assistants.
- Conduct empirical research using psychophysical experiments, simulations, and simulations to investigate cognitive functions.
- Participate in interdisciplinary projects that bridge psychology, computer science, and engineering to create intelligent systems.
- Complete a Master’s thesis in collaboration with research groups or external institutions specialising in cognitive systems.
- Engage in research-oriented colloquia featuring leading experts in cognitive science and AI.
- Apply theoretical knowledge to practical challenges in fields such as healthcare, smart devices, and autonomous systems.
Requirements
Degree required: Bachelor’s degree (or equivalent) in psychology, computer science, cognitive science, engineering, natural sciences, or related fields with a minimum duration of three years. Graduates in other disciplines (e.g., mathematics, physics, biology with neuroscience specialisation) may apply if they demonstrate relevant prior knowledge or experience.
Degree offered: Master of Science (MSc)
Language: English proficiency at B2 level (IELTS Academic: 5.5, PTE Academic: 59, or equivalent).
Instruction: English
- Strong foundational knowledge in at least one of the following areas: information processing in natural systems, technical systems, or mathematical modelling.
- Basic proficiency in empirical research methods, including experimental design and data analysis.
- Ability to work collaboratively across disciplines (e.g., psychology, computer science, engineering).
- Familiarity with computational tools or programming languages commonly used in cognitive science research.
- No German language skills required.
- Applicants must have completed a Bachelor’s degree with an overall grade equivalent to 2.5 or better (or demonstrate equivalent academic performance by the application deadline).
- No nationality or residency restrictions.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2024-05-15
Applicants must submit their application through Ulm University’s official portal for Master’s programmes. Required documents include a completed application form, proof of Bachelor’s degree, transcripts, proof of English proficiency, a CV, a letter of motivation, and subject-specific additional information. Additional documents may be requested based on individual academic backgrounds.
- Completed application form
- Proof of Bachelor’s degree (or equivalent)
- Transcripts of academic records
- Proof of English proficiency (e.g., IELTS, PTE)
- CV (Curriculum Vitae)
- Letter of motivation
- Subject-specific additional information form
- 3 reference letters (if required)
Contact
Cognitive Systems Programme Office· Admissions Contact
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