【摘要】 随着人工智能生成内容（AIGC,AI-Generated Content）技术的飞速发展，教育领域正经历深刻变革。数据科学作为一门交叉学科，对计算能力、数据处理和智能分析的依赖程度较高，亟需利用AIGC技术优化资源建设，提升教学与研究效率。该文首先回顾近年来国内外数字智能化研究现状、面临的挑战及最新的应对方案。其次，作者对所在学校数据科学专业数智化建设框架、方法流程及平台载体进行详细介绍，对AIGC在数据科学与大数据技术专业数智化资源建设中的作用、方法及应用场景进行探讨。最后，总结展望未来大数据专业教育发展趋势。更多还原

【Abstract】 With the rapid development of AI Generated Content(AIGC) technology, the education sector is undergoing profound changes. As an interdisciplinary field, data science relies heavily on computing power, data processing, and intelligent analysis, and urgently needs to utilize AIGC technology to optimize resource construction and improve teaching and research efficiency. This paper first reviews the current research status, challenges, and latest solutions of digital intelligence at home and abroad in the past 5 years. Secondly, a detailed introduction was given to the framework, methodology, process, and platform carrier of the big data major in the author’s school, exploring the role, methods, and application scenarios of AIGC in the construction of digital resources in the data science and big data technology major. Finally, this study summarizes and looks forward to the future development trends of big data professional education.更多还原