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In today's digital age, the fields of data science and computer science are at the forefront of technological innovation and advancement. As students navigate their academic and career paths, they are often presented with options such as Bachelor of Computer Applications (BCA) Data Science programs and traditional Computer Science programs. While both disciplines share foundational principles in computing, they also exhibit distinct differences in curriculum focus, skill development, and career outcomes. This article aims to delve into these differences.
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