Applied Artificial Intelligence (AAI)
Rosenheim Technical University of Applied Sciences
at Otto von Guericke University Magdeburg · Magdeburg, Saxony-Anhalt
Duration
4 semesters
Tuition
No tuition fees
Intake
Winter semester, Summer semester
Mode
Full Time
The Master's degree in Data & Knowledge Engineering (MDKE) at Otto von Guericke University Magdeburg is crafted to equip students with advanced expertise in managing, processing, and analyzing large datasets. The program offers a comprehensive curriculum that integrates theoretical knowledge with practical applications in the fields of data science and computer engineering. Through a combination of lectures, seminars, and hands-on projects, students learn to develop effective methods for data-driven decision-making, which are crucial in various sectors including IT, finance, and healthcare.
This four-semester program follows a structured framework characteristic of German higher education, where students gain a total of 120 ECTS credits. The coursework is divided into modules that explore various aspects of data management, machine learning, and knowledge representation. In addition to theoretical assignments, students are typically engaged in practical projects during their studies, fostering skills in teamwork and real-world problem-solving.
A key feature of this program is the opportunity for students to undertake a practical or internship semester, where they can immerse themselves in the industry, working alongside esteemed partners from Germany’s robust Mittelstand – small and medium-sized enterprises known for their innovation. This experience not only enriches the students' academic journey but also significantly enhances their employability in the competitive job market.
The MDKE program is well-suited for individuals who have a strong background in computer science or related fields and wish to delve deeper into data analytics and knowledge engineering. Aspiring data scientists, software engineers, or researchers will find this program particularly beneficial as it prepares them not just academically, but also practically for the demands of the industry.
It typically takes 4 semesters, with intakes in Winter semester, Summer semester.
Tuition is around No tuition fees. Fees change yearly — confirm with an advisor.
Data Scientist - Technology and finance sectors Machine Learning Engineer - Automotive and manufacturing industries Data Analyst - Consulting firms and market research Software Developer - IT companies and startups Researcher - Academic institutions and laboratories
Application Guides How to Apply to a German University: uni-assist, anabin and Deadlines
Most international students apply to German universities through uni-assist, with key deadlines typically set for July 15 and January 15.
Rankings & Comparisons University or Hochschule? Choosing Between Research and Applied Sciences in Germany
Choosing between a university and a Hochschule in Germany depends on your career goals and whether you prefer a research or practice-led education.
Rankings & Comparisons Studying Computer Science in Germany: Universities, Entry Requirements and Careers
Computer science has 143 programmes at 210 institutions in Germany, many offering no tuition fees and a strong demand in the job market.
Rosenheim Technical University of Applied Sciences
Weihenstephan-Triesdorf University of Applied Sciences
Friedrich-Alexander-Universität Erlangen-Nürnberg
Otto von Guericke University Magdeburg
South Westphalia University of Applied Sciences
Osnabrück University of Applied Sciences