Meeting the Industry Demands of DS and AI
Data science (DS) and artificial intelligence (AI) are increasingly being integrated into all sectors of the economy, making them two of the most sought-after technologies today. In a recent article appearing in Analytics India Magazine, Professors Ratnajit Bhattacharjee and Ashish Anand from the Mehta Family School of Data Science and Artificial Intelligence at the Indian Institute of Technology Guwahati discuss the importance of long-term, in-depth coursework in DS and AI to fully prepare graduates for careers in these in-demand fields. Key takeaways from the article include the following:
- DS is a vast, multidisciplinary domain that requires a solid grounding in mathematics, statistics, computer science, and other subjects.
- Students of DS and AI also need training in industry-relevant topics to fully prepare them to enter the workforce.
- A well-balanced program must combine theoretical fundamentals and practical training with hands-on sessions. As Professor Bhattacharjee, director of the Mehta Family School of DS and AI, and Professor Anand point out, “The foundational courses [should] cover the essentials of DS and AI, whereas the advanced and elective courses [should] broaden [students] perspective in applying DS and AI across several domains.”
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