PROBLEMS AND PROSPECTS OF TRAINING SPECIALISTS IN ECONOMY IN THE CONDITIONS OF OPEN SCIENCE AND DIGITAL TRANSFORMATION

Abstract

In the context of rapid digital transformation and the principles of open science, the preparation of economics specialists faces significant challenges. This thesis explores the gap between traditional academic programs and the demands of the modern labor market, emphasizing the need to integrate open access resources, big data analytics, and artificial intelligence (AI) into economics education. As a second-year PhD student in Economics, I draw from my observations and analysis to highlight key issues such as outdated curricula that fail to address digital skills, ethical considerations in data handling, and the lack of soft skills like critical thinking and academic integrity. The study reviews existing literature and employs qualitative methods to propose recommendations for curriculum reform, including reengineering programs to incorporate practical courses on AI and big data, fostering international collaborations for dual degrees and internships, and utilizing open educational platforms. The expected outcome is the formation of a new generation of economists capable of thriving in an open, innovative ecosystem. These reforms align with European Union standards and contribute to Ukraine’s integration into the European Research Area. By addressing these challenges, higher education institutions can better prepare graduates for sustainable economic development in a digitalized world.