Data Science, MS

Program Introduction

The Master of Science in Data Science program at Columbia University is an interdisciplinary course that provides students with advanced education in the theoretical foundations and practical applications of data science. Offered by the Data Science Institute within the Fu Foundation School of Engineering and Applied Science, the program is designed to develop expertise in fields such as machine learning, big data analytics, artificial intelligence, statistics, optimization, and data visualization. This program is designated as a STEM (Science, Technology, Engineering, and Mathematics) field, allowing international students to benefit from up to 36 months of Optional Practical Training (OPT) after graduation. The master's program is typically completed in 3-4 semesters, providing students with comprehensive education in the mathematical, statistical, and computational aspects of data science. Leveraging its strategic location in New York City, the program offers students projects and internship opportunities using real data from various industries including finance, healthcare, media, and technology. Additionally, students are exposed to the latest research trends and technologies through the Data Science Institute's seminars, workshops, and industry partnerships. The program helps students develop advanced analytical skills to solve complex data problems, derive meaningful insights from data, and support data-driven decision making. Graduates are prepared to lead innovation in a data-driven world, taking on various roles such as data scientists, machine learning engineers, data analysts, and research scientists.