As Artificial Intelligence (AI) changes how businesses work, there is a growing need for people who can work in this sector. This paper investigates how well universities in United Kingdom offering courses in AI, prepare students for jobs in the real world. To gain insight into the differences between university curricula and industry demands we review the contents of taught courses and job advertisement portals. By using custom data scraping tools to gather information from job advertisements and university curricula, and frequency and Naive Bayes classifier analysis, this study will show exactly what skills industry is looking for. In this study we identified 12 skill categories that were used for mapping. The study showed that the university curriculum in the AI domain is well balanced in most technical skills, including Programming and Machine learning subjects, but have a gap in Data Science and Maths and Statistics skill categories.

翻译：随着人工智能（AI）改变企业运营模式，该领域对专业人才的需求日益增长。本文旨在探究英国高校开设的人工智能课程在多大程度上为学生适应实际工作需求做好准备。为深入理解高校课程设置与产业需求之间的差异，本研究系统分析了教学课程内容与招聘门户网站信息。通过定制数据采集工具收集招聘广告与高校课程数据，并运用频次分析与朴素贝叶斯分类器方法，本研究精准揭示了产业界所需技能的具体构成。研究共确立12项技能分类作为分析框架，结果表明：英国高校人工智能课程在编程、机器学习等多数技术技能领域设置较为均衡，但在数据科学及数学统计技能类别方面存在明显不足。