Applied Artificial Intelligence (AAI)
Rosenheim Technical University of Applied Sciences
at University of Tübingen · Tübingen, Baden-Württemberg
Duration
4 semesters
Tuition
On request
Intake
Winter semester
Mode
Full Time
The Master's degree in Machine Learning at the University of Tübingen is designed to provide students with a comprehensive understanding of the theories, tools, and techniques in the field of machine learning. Over the course of four semesters, students will explore various aspects of machine learning, including statistical methods, model development, and practical applications across different domains. This interdisciplinary approach combines computer science principles with real-world problem-solving, preparing graduates for the demands of today's data-driven industries.
The programme is structured into modules that foster both theoretical knowledge and practical skills. Students earn European Credit Transfer and Accumulation System (ECTS) credits as they progress through the programme, culminating in a thesis that showcases their ability to conduct independent research. The importance of hands-on experience is emphasized through project-based assignments and collaboration with industry partners, reflecting the university’s commitment to bridging academic study and practical application.
Graduates of the Master's programme in Machine Learning will develop critical thinking, analytical skills, and proficiency in programming languages relevant to machine learning, equipping them to tackle complex challenges in various sectors. This programme is well-suited for individuals with a strong background in computer science, mathematics, or related fields who are eager to delve into advanced topics and application of machine learning.
The industries that commonly hire graduates from this programme include technology firms, automotive, healthcare, and finance sectors, especially those focusing on data analytics and artificial intelligence. Studying in the German context provides advantages such as access to the thriving Mittelstand and innovative companies, as well as the opportunity for an 18-month post-study job-seeking permit which supports international graduates in finding employment in Germany.
It typically takes 4 semesters, with intakes in Winter semester.
Data ScientistMachine Learning EngineerResearch ScientistSoftware Developer in AIBusiness AnalystThe industries that commonly hire graduates from this programme include technology firms, automotive, healthcare, and finance sectors, especially those focusing on data analytics and...
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