Masters

Intelligent Interactive Systems (IISY)

Bielefeld University

Bielefeld, Germany

Program Overview

The Master’s programme in Intelligent Interactive Systems provides the training of knowledge and skills that enable students to analyse, design and develop state-of-the-art cognitive systems. Such cognitive systems are characterised by their ability to perceive a complex or open environment and to interact with it intelligently. An essential feature of such systems is their ability to learn and thus to adapt to unknown or changing environments, tasks, or users. Such systems are relevant in many areas such as robotics, autonomous agents, assistive systems, recommender systems or web information systems. Students in the programme will be increasingly enabled to work independently according to the scientific principles of machine learning and cognitive computer science. In addition to imparting knowledge, the Master’s programme explicitly focuses on providing practical, professional skills as well as abilities such as interdisciplinary research methods, critical thinking, and teamwork. The contents of the study programme reflect the current developments towards modern intelligent systems that interact autonomously with their environment.

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EUR

Financials

Tuition FeesNone
Living Expenses11904 euros (living expense) plus semester contribution
Note: This programme appears tuition-free, but students should still budget for the semester contribution and living expenses.
INFO

Intakes and Duration

Intake Season

Winter (October)

Duration

4 semesters

CO

Career Outcomes

Design EngineerProcess EngineerR&D EngineerProject EngineerTechnical Consultant

You can always explore various career paths after completing this program. The listed options are some of the most popular among graduates.

EUR

Salary Outlook

Typical range

€55,000 – €95,000 per year

Fresher, mid-level, and experienced ranges are linked to external sources so they stay auditable for applicants.

LANG

Language & Exams

Teaching Language

English

Applicants are required to prove that their English is at a proficiency level of B2 (CEFR) or higher. This corresponds to TOEFL 72+ points, IELTS 5.5+, or Cambridge First Certificate (CFE). The regular German high school diploma (Abitur) qualifies for this, too.

IELTS required (IELTS 5.5 overall)Language certification required
REQ

Requirements

Academic Admission

The prerequisite for admission is a Bachelor’s degree grade of at least 2.7 (according to the German grading system). In addition, the following knowledge is required to apply successfully: Knowledge and skills in foundations of computer science (e.g. algorithms, data structures, theoretical or technical computer science, computer architectures) of 30 ECTS or an equivalent total workload Knowledge and skills in mathematics (e.g. analysis, linear algebra, stochastics) amounting to 10 ECTS or an equivalent total workload Applicants are required to have knowledge and skills in basic technical methods for the development of intelligent systems (e.g. machine learning, artificial intelligence, pattern recognition, robotics, image/language processing, human-machine interaction) to the extent of 30 ETCS or an equivalent total workload. Alternatively, knowledge and skills in interdisciplinary foundations of intelligent or interactive systems (e.g., from psychology, neurobiology, linguistics, philosophy) are recognised up to 10 ETCS or a corresponding total workload. A further condition for admission is language competency in English at a proficiency level of B2 (CEFR) or higher. You can find the details below. When applying, each applicant needs to provide a list of courses passed successfully during their qualifying degree (Bachelor's) in each of the three areas, along with the ECTS or the overall workload for each course.

APS Certificate

An APS certificate is required for applicants who have completed their qualifying education in India, China, or Vietnam.

IELTS Score

IELTS 5.5 overall

Application Deadline

Application deadlines are subject to changes. Please refer to the above university course link for the most accurate information.

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