Master of Science in Intelligent Adaptive Systems Postgraduate Programme By Universität Hamburg |TopUniversities

Master of Science in Intelligent Adaptive Systems

Subject Ranking

# 301-350QS Subject Rankings

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Intelligent systems and robots are expected to become an integral part of our daily lives. In order to be accepted by, and interact efficiently and naturally with humans, they have to adapt to changing environments as well as the users they interact with.


The MSc in Intelligent Adaptive Systems aims to provide students with the ability to create these intelligent adaptive systems and to prepare them for a future market, where intelligent behaviour is considered the standard for computer systems. It is a 2-year, research-oriented programme taught in English by international experts in the field, integrating concepts from informatics, robotics, and neuro-cognition.


The curriculum is focused on the area of smart technology and intelligent adaptive systems and provides in-depth training in this area. The selected modules provide a comprehensive overview including technical aspects and state-of-the-art algorithms and methods. Students are introduced to current research in the corresponding fields and have the opportunity to deepen the acquired knowledge by participating in international research projects.


As one of the few computer science programmes in Germany that are taught completely in English, the Master course „Intelligent Adaptive Systems“ prepares students for international research and work. The inter-student exchange is fostered in seminars and work groups and extended in extra-curricular discussions and activities. Through the proximity to current research projects, students have the possibility of a smooth transition into collaborative research environments and continuing education and study.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Intelligent systems and robots are expected to become an integral part of our daily lives. In order to be accepted by, and interact efficiently and naturally with humans, they have to adapt to changing environments as well as the users they interact with.


The MSc in Intelligent Adaptive Systems aims to provide students with the ability to create these intelligent adaptive systems and to prepare them for a future market, where intelligent behaviour is considered the standard for computer systems. It is a 2-year, research-oriented programme taught in English by international experts in the field, integrating concepts from informatics, robotics, and neuro-cognition.


The curriculum is focused on the area of smart technology and intelligent adaptive systems and provides in-depth training in this area. The selected modules provide a comprehensive overview including technical aspects and state-of-the-art algorithms and methods. Students are introduced to current research in the corresponding fields and have the opportunity to deepen the acquired knowledge by participating in international research projects.


As one of the few computer science programmes in Germany that are taught completely in English, the Master course „Intelligent Adaptive Systems“ prepares students for international research and work. The inter-student exchange is fostered in seminars and work groups and extended in extra-curricular discussions and activities. Through the proximity to current research projects, students have the possibility of a smooth transition into collaborative research environments and continuing education and study.

Admission Requirements

6+
90+
In order to apply to the Master in Intelligent Adaptive Systems, you have to fulfil the following requirements:
  • A Bachelor’s degree in computer science or a related field insofar as 60 ECTS credit points were acquired in the core field of computer science.
  • Proof of English language proficiency by (or comparable to):
  • CEFR/TELC Level >= B2
  • IELTS >= 6.5
  • TOEFL: IBT >=90, PBT >= 575, CBT >= 230
  • Cambridge >= CAE or CPE

Oct

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