[ 921CDASI17 ] Studienfach (*)Data Science (CS)

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Workload Form der Prüfung Ausbildungslevel Studienfachbereich VerantwortlicheR Anbietende Uni
0-27 ECTS Gliederung M - Master Informatik Sepp Hochreiter Johannes Kepler Universität Linz
Quellcurriculum Masterstudium Computer Science 2022W
Ziele (*)Data science is an interdisciplinary field at the interface of computer science and statistics. Rapidly growing amounts of data require completely new solutions, for example in language and speech processing (e.g., machine translation) or image recognition (e.g., in self-driving cars). The specialization in Data Science empowers students to solve hard real-world problems in a data-driven manner. It provides them with profound skills in data analysis technologies such as machine learning, pattern recognition, probabilistic models, data mining, and data visualization, accompanied with a solid background in database and software technologies. Data scientists are highly demanded in industry across various domains such as medicine, smart production, finance and marketing.
Lehrinhalte (*)The contents of this subject result from the contents of its courses.
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