International Master's program at the University of Bremen

Come to the University of Bremen to study Artificial Intelligence and Intelligent Systems!

Artificial Intelligence and Intelligent Systems (AIIS)

Why AIIS

The international Master's program AIIS offers students a broad variety of research-based courses in a vibrant interdisciplinary environment benefiting from renowned researchers in the field of AI, Cognitive Systems, and robotics. Students will have access to the unique laboratories, equipment, and computing resources for their courses, projects, and theses. Many research groups offer part-time jobs as research or teaching assistants.

AIIS students receive comprehensive training in theoretical, practical, and applied AI while specializing in "Cognition-Enabled Robotics" and "Machine Learning & Cognitive Systems", choosing one of the two as major and the other as minor. Other features of AIIS are the Guided Research Model - an independent student research project with individual supervision by a professor - and the Bremen Concept and Bremen model concept. While the latter is a project study in larger teams, the former is an independent research project with individual supervision by a professor.

Patrick Pollmeier / University of Bremen
What awaits you

AIIS is a four-term program comprising 120 credit points (CP). Courses will be taught in English and international students are very welcome.

AIIS is anchored in the faculty of Mathematics and Computer Science and part of the high-profile area "Minds, Media, Machines" of the University of Bremen allowing students a broad range of study courses and insights into related research fields.

Patrick Pollmeier / University of Bremen
How to apply

Applicants for the AIIS Master's program are expected to meet the following prerequisites:

  • a Bachelor's degree with at least 180 CP in a relevant field, e.g. Computer Science, Mathematics, Electrical Engineering, Business Informatics, Systems Engineering,
  • proof of at least 90 CP in the field of Computer Science (especially in the sub-areas Mathematics, Artificial Intelligence, Machine Learning, Software Design, Theoretical Computer Science, Programming and/or project work) that were completed in the preliminary studies,
  • English: B2 at time of application; CEFR C1 level or equivalent at time of enrollment.

Submission of an application is possible from the start of February to March15th of each year. Places are limited and will be granted to only the best applicants. Applicants are encouraged to apply early. Courses will start mid-October of each academic year, and follow the German academic year with a winter term (courses mid October - beginning February) and a summer term (courses mid April - mid July). With the term breaks lasting several weeks, there is plenty of time to benefit from the AIIS network for internships, student jobs, or other professional development.

AIIS at a glance

International Master's program at the University of Bremen
  • Application Period: February 01 - March 15 of each academic year
  • Standard Duration of Studies: 4 terms (fulltime)
  • Credit points: 120 CP
  • Course Language: English
Matej Meza / University of Bremen

Contact details

University of Bremen
High Profile Area Minds, Media, Machines
Enrique-Schmidt-Str. 5, 28359 Bremen

Prof. Dr-Ing. Tanja Schultz
aiis-info@uni-bremen.de

Contact point and study advice:
szi@uni-bremen.de

Further Information:

Flyer Master Program AIIS
Module Handbook

Frequently Asked Questions

Why Bremen

Bremen is a very welcoming city of ~ 570.000 residence, located in north-west Germany close to the North Sea coast: www.bremen.eu. It is host of the premier international AI-conference IJCAI-2026: www.ijcai.org/. Bremen is home of the ambitious, agile, and creative University of Bremen: www.uni-bremen.de. The University of Bremen has a strong international reputation for its research in the field of computer science, AI-enabled robotics, and Cognitive Systems. It offers a broad range of intramural student activities, such as

Incoming international students will be supported by the Welcome Center. As a student at the University of Bremen, you will have free access to public transport in the state of Bremen and neighboring Lower Saxony as part of your tuition fee (~ 344 € per semester).

University of Bremen
Job Profile of AIIS Graduates

AIIS is designed to prepare students for research and development positions in academia or industry in the fast-growing field of AI such as scientist, research engineer, data scientist, or AI consultant. Throughout their studies, AIIS students will have the opportunity to connect with top-notch researchers of the University of Bremen, as well as with leaders of technology companies in and around Bremen, e.g. through internships and Master's projects.

AIIS: A more Detailed Look!

AIIS: 1st semester

  • Modeling intelligent systems as “rational agents”
  • Problem solving through search, logic-based representation and reasoning systems
  • Probabilistic problem solving: Bayes nets (inference and learning), Markov Decision
  • Problem solving with the help of machine learning
  • Generative/discriminative models, regression, features, evaluation
  • Fundamentals of statistics, mathematics, neural networks, transformers
  • End-to-end systems, optimization, explainable AI
  • Responsible use of computational resources and computational complexity of machine learning methods and deep neural networks
  • Sensors, actuators and hardware infrastructure of technical cognitive systems
  • Control of technical cognitive systems: forward and inverse kinematics, dynamics
  • Basics of probabilistic state estimation: Bayesian filters, data association, learning, HMMs
  • Applications: localization, environment mapping, object tracking
  • Programming methods for technical cognitive systems
  • Modeling intelligent systems as “rational agents”
  • Problem solving through search, logic-based representation and reasoning systems
  • Probabilistic problem solving: Bayes nets (inference and learning), Markov Decision
  • Problem solving with the help of machine learning
  • As preparation for the projects from the 2nd semester onwards, this module aims to develop the necessary skills to successfully carry out such projects.
  • In the form of lectures (guest lectures), seminar papers or small group work
  • Knowledge through to scientifically sound project work and professional practice

     
The following topics are covered in particular:

  • Scientific practice (including research funding, applications)
  • Methodological aspects: Statistical procedures, visualization, experiments
  • Philosophy of science (e.g. Kuhn, Popper, Descartes)
  • Scientific culture and research ethics
  • Interdisciplinary work and the wide-ranging applications of computer science
  • Project management: time and resource management
  • Project management: motivation and leadership
  • Applications and CVs (including foreign applications)
  • Moderation techniques and decision-making

Major / Minor

MCLS & CER

Students in AIIS specialize in “Machine Learning & Cognitive Systems” (MLCS) and “Cognition-Enabled Robotics” (CER). You choose one of them as your major and the other as your minor.

Choosing Your Major and Minor

In the second semester, you choose one MLCS course and one CER course. In the third semester, the specialization you choose for your course becomes your major.

  • MLCS in the third semester: MLCS is your major, and CER is your minor.
  • CER in the third semester: CER is your major, and MLCS is your minor.

Select your AIIS Major and Minor!

Machine Learning and Cognitive Systems (MLCS) Major

Topics and Course Offerings in MCLS

This list is updated regularly!

Join the Bremen Big Data Challenge!

© CSL, University of Bremen

Research in AIIS

03-INF-MA-AI-R-PJ - Master's Project

The Guided Research Module gives students the opportunity to gain practical experience in independent scientific research. Working closely with an advisor, students develop a research question, investigate it systematically, and work toward producing a scientific paper with the potential for publication.

1. Choose a Topic
: Select a guided research topic from among those offered by the AIIS research groups.

2. Start Your Research
After assignment, contact your assigned supervisor to discuss the topic, refine the research question, and formally begin the module.

3. Complete the module “
” Conduct the research independently and prepare the scientific paper. The module must be completed within a maximum of three months from the date of confirmation.

Note: The list of topics and assignment information may change periodically. Please refer to the most recent list of topics and instructions when selecting your topic; if your assigned advisor becomes unavailable due to unforeseen circumstances, you may approach another available advisor, provided the topic has not already been assigned.

The Master Seminar allows students to explore a given topic in depth through scientific literature, discuss their findings, and present their knowledge. Worth 3 CP, it develops skills in research, presentation, discussion, and academic work.

The courses offered may vary from semester to semester. Current master's seminars can be found in Stud.IP under "Master's Courses."

1. Choose a Seminar
. Review the available Master Seminar topics and select one that matches your interests.

2. Study the Topic
, students work with the literature provided for the seminar, identify additional relevant papers, and build their knowledge of the topic.

3. Present and Discuss
: Students present their findings and share their understanding of the topic while discussing it with the professor and other participants.

The Guided Research Module gives students the opportunity to gain practical experience in independent scientific research. Working closely with an advisor, students develop a research question, investigate it systematically, and work toward producing a scientific paper with the potential for publication.

1. Choose a Topic
: Select a guided research topic from among those offered by the AIIS research groups.

2. Start Your Research
After assignment, contact your assigned supervisor to discuss the topic, refine the research question, and formally begin the module.

3. Complete the module “
” Conduct the research independently and prepare the scientific paper. The module must be completed within a maximum of three months from the date of confirmation.

Note: The list of topics and assignment information may change periodically. Please refer to the most recent list of topics and instructions when selecting your topic; if your assigned advisor becomes unavailable due to unforeseen circumstances, you may approach another available advisor, provided the topic has not already been assigned.

Free choice

Free choice
03-INF-MA-AI-S-FC – Free Choice

Free Choice is worth 9 CP and allows students to choose courses that complement their AIIS studies. You can combine courses with different CP values, and there is no set number of courses required, as long as you pass assessments totaling 9 CP.

Course Options
  • Additional Computer Science Courses
  • Courses from General Studies / Complementary Studies
  • Eligible courses outside of computer science
  • Courses that overlap substantially in content with other completed modules cannot be credited.
  • Courses intended exclusively for bachelor's students cannot be selected.
  • Free Choice courses are normally recorded as "passed" or "ungraded." Eligible graded courses may count toward the final degree grade upon request, in accordance with the examination regulations.

 

Note: Check the current course catalog and module information. If you are unsure about a course’s eligibility, check with the relevant instructor, module coordinator, or PABO before registering.

Master's Thesis

03-INF-MA-AI-T-MT – Master's Thesis

The Master’s Thesis allows you to conduct independent research on a topic related to your interests. The thesis, including the colloquium, is worth 30 CP.

Requirements

Before you can register your thesis, you must have earned at least 60 CP. The official processing period is 24 calendar weeks (168 days). The thesis must be written in English unless German has been approved. The written thesis accounts for 67% of the module grade, and the colloquium (defense) accounts for the remaining 33%.

Where to Find Your Topic

You can explore the topics offered by AIIS research groups and advisors. A topic may also stem from a master's thesis, guided research, or previous coursework. External or industry-related topics are possible with a suitable University of Bremen advisor, although they are generally not recommended.

  1. Explore research areas.
  2. Contact potential supervisors.
  3. Discuss the topic and the supervision with them.
  4. I agree with the topic.
  5. Register the thesis.
  • The 24-week period is the official timeframe you have to complete and submit your written thesis. It is equivalent to 168 calendar days, or roughly five and a half months.
  • The period begins only after your registration application has been reviewed and approved and the Examination Office has issued the admission notice specifying your submission deadline. Discussing a topic or finding an advisor does not start the clock.
  • This period covers the entire thesis process: literature review, research design, implementation or experiments, analysis, writing, revision, and submission. Weekends and semester breaks are included.

The AIIS Examination Board may approve an extension of up to eight weeks upon receipt of a justified request. Extensions are not granted automatically. In cases of illness, a separate procedure applies, and medical documentation must be submitted to the Examination Office.

Further Information

For detailed regulations, see the AIIS Examination Regulations, §6, and the information on illness and thesis deadlines.