The article compellingly argues for the integration of "Data Analytics" and "Data Science" into the curricula of economic specialties, empha
The article compellingly argues for the integration of "Data Analytics" and "Data Science" into the curricula of economic specialties, emphasizing how pivotal these disciplines are in enhancing economic planning and decision-making. With the advent of data science and artificial intelligence, there are transformative impacts on various sectors, particularly in economics and finance, where these tools can provide significant strategic advantages to professionals and policymakers. The article defines the essential skills required in the modern workforce and discusses the broad implications of integrating these subjects in educational programs, which are projected to influence the economy a large positively. Furthermore, the research addresses the evolving labor market trends, highlighting the growing demand for digital skills across all sectors, with a notable emphasis on the manufacturing industry. The impact of digitalization on the labor market is thoroughly analyzed, reinforcing the necessity for economic students to gain proficiency in "Data Analytics" and "Data Science." Specific skills that students should acquire through these courses are identified, ensuring they are well-equipped for the challenges of the digital economy. Additionally, the article outlines the distinct advantages that graduates with expertise in "Data Analytics" hold, positioning them favorably in the competitive job market. This comprehensive study not only substantiates the need for these disciplines but also charts a path forward for curriculum development to better prepare students for future economic challenges.
