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Bruno Gächter is a professor at the Zurich University of Applied Sciences, specializing in data science and its applications. He has an extensive background in statistical methods and machine learning, with a focus on developing innovative strategies for complex real-world problems. His research interests encompass various facets of data analytics, including predictive modeling and algorithmic decision-making. Bruno actively collaborates with industry partners to apply his expertise in practical settings and has published numerous articles in reputable journals, contributing significantly to the advancement of knowledge in his field. He is committed to cultivating analytical skills among students and is involved in various educational programs aimed at enhancing the understanding of data science methodologies.
This requirement applies generally to the Master of Science in Engineering and its specializations like Data Science, Computer Science, and Medical Physics.