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In today\u2019s rapidly evolving digital era, artificial intelligence, big data, machine learning, cloud computing, and advanced analytics are fundamentally transforming the decision-making processes of businesses, public institutions, and society. The ability to extract meaningful insights from data and transform them into strategic value has become one of the most critical competencies driving the digital economy.<\/p>\n
Data Science and Analytics<\/strong>\u00a0is an interdisciplinary field that integrates statistics, mathematics, computer science, and domain expertise to extract knowledge from data. It encompasses the collection, processing, modeling, and interpretation of large-scale datasets while leveraging artificial intelligence to develop innovative solutions to complex real-world problems through scientific and analytical approaches.<\/p>\n The Bachelor\u2019s Program in\u00a0Data Science and Analytics<\/strong>\u00a0provides students with a strong theoretical foundation complemented by practical, application-oriented education. The program aims to equip students with advanced competencies in data analytics, machine learning, artificial intelligence, data engineering, data visualization, and decision support systems. It also fosters analytical thinking, problem-solving, and data-driven decision-making skills while encouraging ethical responsibility, technological awareness, and a commitment to lifelong learning.<\/p>\n Offered within the\u00a0Faculty of Business<\/strong>, the program establishes a strong interdisciplinary connection between business administration, economics, finance, marketing, management sciences, and computer science. This integrated approach enables students to acquire not only technical expertise but also a comprehensive understanding of business processes, empowering them to develop innovative,\u00a0data-driven solutions to contemporary organizational and societal challenges.<\/strong><\/p>\n The primary objective of the program is to educate highly qualified data scientists and analytics professionals who can adapt to the rapidly evolving digital ecosystem of the 21st century, effectively utilize artificial intelligence and data analytics technologies, embrace research and innovation, and compete successfully in both national and international environments.<\/p>\n","protected":false},"excerpt":{"rendered":" In today\u2019s rapidly evolving digital era, artificial intelligence, big data, machine learning, cloud computing, and advanced analytics are fundamentally transforming the decision-making processes of businesses, public institutions, and society. The ability to extract meaningful insights from data and transform them into strategic value has become one of the most critical competencies driving the digital economy. […]<\/p>\n","protected":false},"author":228,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"genel_sayfa.php","meta":{"footnotes":""},"class_list":["post-226","page","type-page","status-publish","hentry"],"yoast_head":"\n