Studying Data Science in the Age of AI: What’s Changing, What’s Not
The convergence of data science and artificial intelligence is reshaping traditional roles, emphasizing the need for professionals to master both foundational mathematics and advanced automation tools while prioritizing critical human-centric skills. As AI automates routine tasks, the demand for data scientists who can bridge the gap between complex modeling and organizational goals, while maintaining ethical oversight and strategic insight, is expanding, highlighting the importance of continuous learning and adaptability in the field.