CEU relaunches business master’s programs with AI focus

Central European University is updating two business master’s degrees for the 2027/28 academic year to better align finance and analytics training with data, artificial intelligence and judgment-based decision-making. Applications are now open for the renamed programs in Vienna.

Why it matters: - CEU is redesigning business graduate training for a labor market where AI can increasingly handle coding, data analysis, modeling and first-round research. - The university is betting employers will value graduates who can combine subject expertise with data fluency, AI literacy and critical judgment. - The update aims to preserve deeper professional learning even as AI takes over many junior-level tasks.

What happened: - Central European University is relaunching two Business Master’s programs in its Department of Economics. - Starting in the 2027/28 academic year, the MS in Finance will become the MS in Finance, Data & AI. - The MS in Business Analytics will become the MS in Business Data Analytics & AI. - Applications for both programs are now open at CEU in Vienna.

The details: - The MS in Finance, Data & AI combines finance education with data analysis and practical AI literacy. - The program covers corporate finance, banking, investments, financial markets and risk. - The curriculum is designed to strengthen students’ ability to work with data and AI-supported decision-making. - The MS in Business Data Analytics & AI brings together statistics, applied data science and AI with business context and problem-solving. - Students in the analytics program learn how to judge whether an analytical approach is appropriate, evaluate results and translate findings into organizational decisions. - Both programs are built around the idea that technology becomes valuable when paired with disciplinary expertise and critical evaluation of evidence. - CEU’s Capstone Projects will connect students with real challenges from companies and other organizations. - The projects are intended to apply academic and technical knowledge to practical finance and analytics problems.

Between the lines: - CEU is signaling that AI education should not be treated as a standalone technical add-on. - The redesign reflects a broader concern in higher education: if AI performs more entry-level tasks, students still need a strong foundation to understand, question and improve those outputs. - The move also positions CEU to market its programs around a mix of research-led teaching and job-ready skills. - Andras Danis said the finance program is being renewed around the combination of deep domain knowledge, data, AI and judgment under uncertainty. - Gabor Bekes said the main barrier to AI adoption is often organizational change, not access to the technology itself, and that the program should prepare professionals to help companies turn AI capability into productivity gains.

What's next: - Students will enter the renamed programs beginning in the 2027/28 academic year. - CEU will continue recruiting applicants for both master’s degrees in Vienna. - The university is positioning the new curricula as preparation for finance and analytics roles that require more than technical output alone.

The bottom line: - CEU is reshaping two business master’s programs around a simple premise: in the AI era, graduates need to know both how to use technology and when to challenge it.