<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI on UniversityGuide</title><link>https://universityguide.jp/en/tags/ai/</link><description>Recent content in AI on UniversityGuide</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>UniversityGuide</copyright><lastBuildDate>Sat, 04 Jul 2026 20:59:36 +0900</lastBuildDate><atom:link href="https://universityguide.jp/en/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Why Study Economics in the AI Era: Thriving in a Data-Driven Society</title><link>https://universityguide.jp/en/field-of-study/faculty-of-social-sciences/economics-in-ai-era/</link><pubDate>Thu, 02 Jul 2026 15:00:00 +0900</pubDate><guid>https://universityguide.jp/en/field-of-study/faculty-of-social-sciences/economics-in-ai-era/</guid><description>&lt;img src="https://universityguide.jp/img/thumbnail/economics-in-ai-era-en.png" alt="Featured image of post Why Study Economics in the AI Era: Thriving in a Data-Driven Society" /&gt;&lt;p&gt;With artificial intelligence transforming society and the economy, some students wonder whether studying economics still makes sense. The answer is a clear yes—economics is more valuable than ever in the AI era. This article explores why economics matters now and how it prepares you for future careers.&lt;/p&gt;
&lt;h2 id="the-deep-connection-between-economics-and-ai"&gt;The Deep Connection Between Economics and AI
&lt;/h2&gt;&lt;p&gt;Economics studies how to allocate scarce resources efficiently. Modern resource optimization relies heavily on AI and data science methods, making the two fields deeply interconnected.&lt;/p&gt;</description></item><item><title>Choosing an Information Science Department in the AI Era: 2026 Guide</title><link>https://universityguide.jp/en/field-of-study/science-engineering-agriculture/information-science-ai-department-selection-guide-2026/</link><pubDate>Tue, 30 Jun 2026 10:00:00 +0900</pubDate><guid>https://universityguide.jp/en/field-of-study/science-engineering-agriculture/information-science-ai-department-selection-guide-2026/</guid><description>&lt;img src="https://universityguide.jp/img/thumbnail/information-science-ai-department-selection-guide-2026-en.png" alt="Featured image of post Choosing an Information Science Department in the AI Era: 2026 Guide" /&gt;&lt;p&gt;With AI and data science evolving at breakneck speed in 2026, choosing the right university department is one of the most consequential decisions a prospective student can make. The term &amp;ldquo;information science department&amp;rdquo; covers vastly different curricula, specializations, and career outcomes. This guide helps you navigate the options.&lt;/p&gt;
&lt;h2 id="three-types-of-information-departments"&gt;Three Types of Information Departments
&lt;/h2&gt;&lt;p&gt;Japanese universities offer three main types of information-related departments.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Engineering-based Information Engineering&lt;/strong&gt;: Focuses on the full hardware-software stack from a practical engineering perspective. Embedded systems, robotics, networking, and security are core areas. Heavy on programming practice, ideal for students aiming to become hands-on engineers.&lt;/p&gt;</description></item></channel></rss>