Publication Details
Abstract
In the era of rapid technological advancement and digital transformation, higher and applied mathematics have assumed a critical role in shaping the digital economy. From algorithmic design and data analytics to financial modeling, artificial intelligence, and blockchain technology, mathematical methods underpin the functionality and growth of digital platforms and economic systems. This paper explores the modern applications of mathematical disciplines such as linear algebra, calculus, probability theory, optimization, and numerical methods in various sectors of the digital economy, including fintech, e-commerce, digital logistics, and smart manufacturing. Emphasis is placed on the integration of mathematical models in big data analysis, machine learning algorithms, predictive modeling, and decision-making systems. The study highlights how mathematical competence drives innovation, enhances economic efficiency, and enables the development of intelligent systems that support automation and real-time analytics. Ultimately, the findings underscore that higher and applied mathematics are indispensable tools for advancing and sustaining the digital economy.