With the rapid advancement of artificial intelligence, big data, machine learning, deep learning, cloud computing, and data-driven decision-making approaches, data-centric management has become a fundamental component of both academic research and professional practice. In today’s digitally transforming world, the ability to collect, process, analyze, and interpret large volumes of data has become a critical factor in creating sustainable competitive advantage and supporting strategic decision-making across organizations. These developments have significantly influenced not only computer science but also business administration, economics, finance, marketing, engineering, healthcare, and various social science disciplines.
Data Science and Analytics is an interdisciplinary field that integrates statistics, mathematics, computer science, and domain expertise to extract meaningful insights from complex datasets, develop predictive models, and support evidence-based decision-making. As organizations increasingly rely on data to optimize processes, improve performance, and foster innovation, analytical competencies have become indispensable in both public and private sectors.
In line with Türkiye’s digital transformation strategy and its objective of enhancing global competitiveness, there is a growing demand for highly qualified professionals who can effectively utilize artificial intelligence technologies, manage and analyze large-scale datasets, and develop innovative, ethical, and reliable data-driven solutions. The Graduate Program in Data Science and Analytics is designed to equip students with advanced theoretical knowledge and practical competencies in data analytics, machine learning, artificial intelligence, data engineering, big data technologies, and decision support systems.
The program adopts an interdisciplinary approach by bringing together students from diverse academic backgrounds, including computer science, software engineering, mathematics, statistics, industrial engineering, business administration, economics, finance, and related disciplines. Through a curriculum that combines theoretical foundations with hands-on applications, students gain the skills required to solve real-world problems, conduct high-quality scientific research, and contribute to technological innovation at both national and international levels.
The Graduate Program in Data Science and Analytics supports research excellence, university–industry collaboration, and innovation-driven projects while fostering analytical thinking, ethical responsibility, and lifelong learning. It aims to educate professionals and researchers capable of generating value from data, leading digital transformation initiatives, and contributing to the advancement of science, technology, and society in the era of artificial intelligence and data-driven innovation.
