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The volume of data generated by researchers and corporations is growing at an unprecedented, uncontrollable pace. Effectively processing and interpreting this deluge of information has emerged as a critical challenge in computer science. Solutions require not just compact storage methods, but also the creation of efficient processing algorithms and smart systems capable of identifying meaningful patterns and making data-driven decisions. These fundamental concepts define the Data Management and Analysis track's focus. Each year, around 100 graduate students enroll, with equal numbers pursuing master's and doctoral degrees. With highly selective admission criteria, competition for the program's limited spots is intense. Selection depends on thorough assessment of each candidate's academic achievements and research capabilities.