Many undergraduate students are interested in computer science, AI, software engineering, data science, and related fields, but they often struggle to understand which academic or technical direction fits them. Information about CS/AI pathways is fragmented across course pages, informal conversations, student communities, and personal experiences. At the same time, master’s and PhD students have valuable first-hand knowledge, but this knowledge is rarely collected, structured, or reused to support younger students.
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