Will AI replace data scientists and data analyst in the coming years?

Ans: The entire global economy is projected to grow on the solid bedrock of IT tools and platforms. And naturally data scientists and analysts will have a pivotal role.

Ans: Garena, Before answering your question, Please note that Return on Investment (ROI), regardless of the branch or college, is not determined solely by your choice of institution or program. Several other factors significantly influence it—such as consistent academic performance over the next four years, regular skill enhancement, soft skills development, awareness of job market trends, a well-built personal profile, and maintaining a professional LinkedIn presence with clear job search strategies. ANSWER to your question: By 2030, artificial intelligence and data science roles are expected to flourish as automation creates 11 million net new jobs globally and transforms 86 percent of businesses, underscoring strong long-term demand. Data scientist employment in the U.S. alone is projected to grow 36 percent from 2023 to 2033, far outpacing average occupations and signaling robust global opportunity. At Amrita Vishwa Vidyapeetham, Coimbatore, the CSE-Data Science branch recorded a 92 percent placement rate in 2024, with the lowest on-campus offer around ?2 LPA and a median salary of ?7.6 LPA across all streams.

Recommendation: Embrace a Data Science pathway at Amrita Coimbatore for its consistent placement performance, industry-aligned curriculum, and accessible entry-level salaries, ensuring a strong foundation in a rapidly expanding field through 2030 and beyond. All the BEST for Admission & a Prosperous Future!

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Ans: You have raised a truly unique and excellent question. Statistics remains a relevant and valuable field in the era of Artificial Intelligence (AI), functioning as a critical foundation for trustworthy and impactful AI applications. AI technologies rely heavily on statistical principles to ensure models are understandable, reliable, and grounded in robust evidence. Core statistical methods such as hypothesis testing, uncertainty quantification, and model validation are vital for understanding complex AI algorithms, ensuring accuracy, and avoiding over-reliance on "black box" predictions. Statistics enhances AI by optimizing data collection, improving data quality assessment, and enabling rigorous evaluation of AI systems. While AI automates and accelerates data analysis, statistics provides the methodological rigor necessary to interpret results and guide decision-making effectively.

The relationship between statistics and AI is symbiotic: AI tools support automated, efficient statistical analysis, whereas statistical theory underpins AI’s validity and interpretability. Although AI may automate certain routine aspects of statistics, statisticians' expertise remains essential to navigate nuances in data, design experiments, and apply domain knowledge. Emerging AI-assisted statistical tools are expanding research possibilities but require human oversight for accuracy and context.

Comparatively, statistics is more theory-driven and concerned with inference and small to moderate datasets, while AI focuses on algorithmic, large-scale data processing and automation. The demand for statisticians in AI-related fields, including data science, bioinformatics, and risk analysis, continues to grow, with institutions emphasizing interdisciplinary curricula, research integration, modern computing infrastructure, experienced faculty with AI-statistics expertise, strong industry collaborations, and comprehensive career and research support. Statistics programs that integrate AI tools and concepts prepare graduates for dynamic roles in data analysis, AI model validation, and ethical AI deployment. Pursuing statistics remains a strategic choice in this AI-driven era, offering enduring scope and opportunities. Select programs that combine solid statistical theory with AI applications, robust faculty expertise, advanced computational resources, industry partnerships, and holistic career support to stay at the forefront of this evolving field. All the BEST for a Prosperous Future!

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