Artificial Intelligence and Intelligent Systems - Uni4edu

Artificial Intelligence and Intelligent Systems

Main Campus, Germany

851 / years

Master's & Postgraduate24 months
Modern university campus at the University of Bremen, Faculty of Mathematics and Computer Science building with glass facade, students walking on tree-lined pathways, robotics lab visible through windows, overcast northern German sky
Master

Master of Science in Artificial Intelligence and Intelligent Systems

University of Bremen

Artificial Intelligence & Computer Science

Duration4 Semesters (2 Years)
LanguageEnglish
FormatFull-time
Credits120 ECTS

Program Overview: Artificial Intelligence and Intelligent Systems (AIIS)

The international Master's program in Artificial Intelligence and Intelligent Systems (AIIS) at the University of Bremen offers students a broad variety of research-based courses in a vibrant, interdisciplinary environment. Anchored in the Faculty of Mathematics and Computer Science and part of the university's high-profile area Minds, Media, Machines, the program provides comprehensive training in theoretical, practical, and applied AI.

Students specialize in two key tracks — Cognition-Enabled Robotics and Machine Learning and Cognitive Systems — choosing one as their major and the other as their minor. This dual-track structure ensures graduates develop both depth and breadth across the most in-demand areas of modern artificial intelligence research and application.

The program is designed to prepare students for research and development positions in academia or industry in the fast-growing field of AI, including roles such as scientist, research engineer, data scientist, or AI consultant. Students benefit from connections with renowned researchers at the University of Bremen and leaders of technology companies in and around Bremen through internships and Master's projects.

Key Program Highlights

  • Dual specialization tracks: Cognition-Enabled Robotics and Machine Learning and Cognitive Systems
  • Guided Research module with individual supervision by a professor for independent research
  • Access to unique laboratories, equipment, and computing resources for courses, projects, and theses
  • Part-time research or teaching assistant opportunities within university research groups

Curriculum and Modules

The AIIS curriculum is structured across four semesters and 120 credit points, combining foundational AI courses with specialization modules, a guided research project, and a Master's thesis. Students build a strong theoretical base in the first semester before progressing to advanced specialization, collaborative project work, and independent research.

Advanced Methods of AI

6 CP

Covers advanced artificial intelligence methodologies including knowledge representation, reasoning, planning, and search algorithms. Students gain a deep understanding of core AI paradigms and their computational foundations.

Advanced Machine Learning

6 CP

Explores state-of-the-art machine learning techniques including deep neural networks, responsible use of computational resources, and the computational complexity of modern learning methods.

Integrated Intelligent Systems

6 CP

Focuses on the design and implementation of complex intelligent systems that integrate multiple AI components. Students learn to build systems that combine perception, reasoning, and action.

AI Algorithms: Theory and Engineering

6 CP

Bridges the gap between theoretical algorithm design and practical engineering of AI systems. Covers algorithmic efficiency, scalability, and real-world deployment of AI solutions.

Guided Research

12 CP

An independent student research project with individual supervision by a professor. Students conduct original research in their chosen specialization area and develop scientific methodology skills.

Master Project

18 CP

A specialty of Bremen's computer science programs where topics of practical importance are worked on intensively in groups over a longer period. Students develop teamwork, project management, and presentation skills alongside technical expertise.

Elective Specialization Modules

Cognition-Enabled Robotics (Major/Minor Track) Machine Learning and Cognitive Systems (Major/Minor Track) Cross-Disciplinary Foundations Master Seminar in AI and Intelligent Systems

Admission Requirements

The AIIS program welcomes international applicants with a strong background in computer science or a closely related field. Admission is competitive, with places limited and granted to the most qualified applicants. Contact Uni4Edu for personalized guidance on your eligibility and application.

Academic Requirements

  • Bachelor's DegreeCompleted Bachelor's degree (or equivalent) with at least 180 ECTS credits in Computer Science, Mathematics, Electrical Engineering, Systems Engineering, Business Informatics, Physics, or a closely related field
  • Computer Science CreditsMinimum 90 credit points in Computer Science areas including mathematics, AI, machine learning, software design, theoretical computer science, programming, and/or project work
  • Provisional AdmissionApplicants who have not yet completed their Bachelor's but have achieved at least 120 ECTS may apply provisionally
  • Letter of MotivationA letter of motivation (maximum 2 pages) stating particular interest in the AIIS program, qualifications, career goals, and relevant experience
  • Admission TypeLocal admission restriction (numerus clausus); selection based on academic record and motivation letter

Language Requirements

  • English (at Application)Minimum B2 level (CEFR) at the time of application
  • English (at Enrollment)C1 level (CEFR) or equivalent required at the time of enrollment
  • Alternative ProofEnglish proficiency is also demonstrated if the applicant's university entrance qualification or most recent degree was obtained in English

Required Documents

Certified copies of Bachelor's degree certificate and transcript of records Proof of English language proficiency (B2 at application, C1 at enrollment) Letter of motivation (maximum 2 pages) Curriculum vitae (CV) Valid passport or national identity document

Application Deadlines

For personalized admission guidance, document verification, and application support, please contact Uni4Edu

Scholarships and Funding

While the University of Bremen does not charge tuition fees for most programs, students should plan for semester fees and living expenses. Several scholarship opportunities are available to support international students. Contact Uni4Edu for guidance on funding options that match your profile.

Deutschlandstipendium

EUR 300 per month

The University of Bremen awards approximately 100 Deutschlandstipendium scholarships annually. Open to all enrolled students regardless of nationality, this merit-based scholarship supports committed and qualified students based on academic achievement and social engagement.

DAAD Scholarships for International Students

Varies by program (monthly stipend plus allowances)

The German Academic Exchange Service (DAAD) offers various scholarships for international Master's students, including monthly stipends, health insurance coverage, and research allowances. Multiple DAAD programs are available depending on the applicant's country of origin and field of study.

Bremen Landesstipendium (Partner Country Scholarships)

Varies (monthly stipend)

Financed by the state of Bremen, these scholarships are offered to students from universities within Bremen's international partner network. They provide financial support to help cover living expenses during your studies in Bremen.

For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.

Career Prospects

The AIIS program is designed to prepare graduates for research and development positions in both academia and industry within the rapidly growing field of artificial intelligence. Students build professional networks through internships and Master's projects with technology companies in and around Bremen, and the degree can be followed seamlessly by a PhD at the University of Bremen.

Top 5 Fastest-Growing Career Field Globally (AI and Machine Learning)
20+ Computer Science Professorships Supporting the Program
400+ Companies in Bremen Technology Park Near Campus

Potential Career Roles

AI Research Scientist Machine Learning Engineer Data Scientist Robotics Engineer AI Consultant Research and Development Engineer

Notable Employers and Research Partners

German Research Center for Artificial Intelligence (DFKI) Technology Centre for Informatics (TZI) German Aerospace Center (DLR) Max Planck Society Institutes Leibniz Association Research Institutes Fraunhofer-Gesellschaft Institutes

Rankings and Recognition

The University of Bremen is a recognized University of Excellence in Germany and maintains a strong international research reputation, particularly in computer science, AI-enabled robotics, and cognitive systems. It is part of the YUFE (Young Universities for the Future of Europe) network funded by the EU Commission.

THE World University Rankings
#301-350
2026
QS World University Rankings
#530
2026
ARWU (Shanghai Ranking)
#501-600
2025
UI GreenMetric Sustainability
#10 Worldwide
2025
SubjectRanking BodyRank
Computer ScienceTHE Subject Rankings#301-400
Computer ScienceEduRank#33 in Germany
EngineeringTHE Subject Rankings#401-500
Physical SciencesTHE Subject Rankings#251-300

How to Apply

Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.

1

Contact Uni4Edu

Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.

2

Prepare Your Documents

Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.

3

Submit Your Application

Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.

4

Receive Your Offer

Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.

Contact Uni4Edu

corporate@uni4edu.com
+90 5435286292
+44 7868736984
Apply Now

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