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Ricardo Baeza-Yates is an Affiliate Professor in Data Science at Chalmers University of Technology. He has significant experience in the fields of Artificial Intelligence and Computer Science Engineering, with a focus on developing algorithms and methods for data analysis. His research interests include various aspects of Data Science and its application in real-world scenarios, particularly in improving the understanding of data behavior and performance. Over the years, he has contributed to multiple projects that leverage machine learning and statistical techniques to derive insights from complex datasets. His work emphasizes the practical implications of data science methodologies and their role in enhancing technological solutions across different industries. He is active in the academic community, frequently collaborating with other researchers and contributing to the advancement of knowledge in his fields of expertise.
General requirements apply to all departments listed at Chalmers. Specific departments like Architecture require a portfolio. Programs in Management/Economics do not strictly require GMAT/GRE but high academic standing is prioritized.