{"id":20290,"date":"2026-03-06T09:23:55","date_gmt":"2026-03-06T08:23:55","guid":{"rendered":"https:\/\/wi.bwl.uni-mainz.de\/?p=20290"},"modified":"2026-04-28T23:14:00","modified_gmt":"2026-04-28T21:14:00","slug":"neuer-studiengang-wirtschaftsinformatik-b-sc-bachelor-wirtschaftsinformatik-data-science-maschinelles-lernen","status":"publish","type":"post","link":"https:\/\/wi.bwl.uni-mainz.de\/en\/2026\/03\/06\/neuer-studiengang-wirtschaftsinformatik-b-sc-bachelor-wirtschaftsinformatik-data-science-maschinelles-lernen\/","title":{"rendered":"New Business Informatics (B.Sc.) Degree Program \u2013 Data Science & Machine Learning"},"content":{"rendered":"<\/jgu-base-heading>\n\n

Starting in the winter semester 2026\/2027, the Faculty of Law and Economics will offer a new Business Informatics (B.Sc.) degree program<\/strong>.<\/p>\n\n

The Business Informatics bachelor’s program<\/strong> combines business management questions with modern methods of data science, machine learning, and data-driven decision-making<\/strong>. The goal is to prepare students to systematically analyze data and deploy artificial intelligence responsibly in organizations. <\/p>\n\n

The degree program is interdisciplinary and combines content from Economics, Business Informatics, Computer Science, Statistics, and Applied Mathematics<\/strong>. Mathematics, Statistics, and programming provide the methodological foundations for machine learning, while Economics conveys practical application scenarios from areas such as marketing, production, logistics, controlling, finance, or staff management. <\/p>\n\n

In the required modules, students acquire comprehensive knowledge in Mathematics, Statistics, data analysis, programming, big data, machine learning, data mining, and data visualization<\/strong>. The curriculum is complemented by foundational economics topics such as Economics, management, organization, strategic decision-making, and entrepreneurship. Courses on study methodology and an accompanying seminar also convey competencies in academic papers<\/strong>. In the elective area, students can set individual focuses, for example in Economics, computer science, sustainability, or law. The program concludes in the sixth semester with the bachelor’s thesis. <\/p>\n\n

The six-semester degree program starts exclusively in the winter semester<\/strong> and is designed for a small, selective cohort to ensure high-quality supervision and a structured course sequence.<\/p>\n\n

Graduates are qualified to deploy artificial intelligence procedures in organizations, automate processes, and enable or help shape digital business models. They are particularly in demand in areas such as data analytics, data science, digitalization, controlling, marketing, IT, production, and logistics<\/strong>, but also in management consulting and auditing<\/strong>. The close connection between the Technics Department and business administration opens up diverse career paths in nearly all organizational areas. <\/p>\n\n

The degree program is aimed at prospective students with an interest in numbers, algorithms, and economic relationships<\/strong> who want to make organizations more data-oriented, digital, and agile. Team skills, communication skills, and the motivation to make fact-based decisions are important prerequisites. <\/p>\n\n \n<\/jgu-base-buttonitem>\n\n<\/jgu-base-button>\n

<\/p>\n

\n \n <\/div>","protected":false},"excerpt":{"rendered":"

Starting in the winter semester 2026\/2027, the Faculty of Law and Economics will offer a new Business Informatics (B.Sc.) degree program. The Business Informatics bachelor’s program combines business management questions with modern methods of data science, machine learning, and data-driven decision-making. The goal is to prepare students to systematically analyze data and deploy artificial intelligence … Continued<\/a><\/p>\n","protected":false},"author":2976,"featured_media":17281,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[72,70,88],"tags":[],"class_list":["post-20290","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-english","category-german","category-teaching"],"primary_category":{"id":72,"name":"English","slug":"english","parent":0,"breadcrumb":"English"},"media":{},"image":{"url":"https:\/\/cms.zdv.uni-mainz.de\/fb03-wi-isym\/wp-content\/uploads\/sites\/1014\/2023\/12\/Studis_im_Hoersaal.svg","credit":""},"index":"06.03.2026","assigned_date":"","external_link":"","_links":{"self":[{"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/posts\/20290","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/users\/2976"}],"replies":[{"embeddable":true,"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/comments?post=20290"}],"version-history":[{"count":1,"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/posts\/20290\/revisions"}],"predecessor-version":[{"id":20293,"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/posts\/20290\/revisions\/20293"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/media\/17281"}],"wp:attachment":[{"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/media?parent=20290"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/categories?post=20290"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wi.bwl.uni-mainz.de\/en\/wp-json\/wp\/v2\/tags?post=20290"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}