COURSE CURRICULUM

The Master of Science in Data Science offers a specialized curriculum designed to equip students with the technical knowledge and practical skills needed to lead in data-driven global markets. The required general education courses provide a strong foundation in analytics, database systems, cloud technologies, and real-world data applications. Students begin with Digital Analytics, which focuses on interpreting data and extracting actionable insights to support strategic decision-making. Math and Statistics for Database Analysis strengthens quantitative and analytical abilities by teaching the mathematical and statistical methods essential for managing and analyzing complex datasets. Digital Technology 1 introduces students to key technological concepts and tools used in modern data science environments. The program also includes the MBDA Integrative Project, which allows students to apply their knowledge to practical business and analytics challenges through project-based learning. Additional hands-on experience is gained through the BDA Capstone Project, where students solve real-world problems using advanced data science techniques. Fundamentals of Database Technologies helps students understand database design, management, and data storage systems, while Cloud Computing and Big Data Analytics focuses on handling large-scale data using cloud platforms and advanced analytics tools. This comprehensive curriculum prepares graduates for careers in data science, business analytics, cloud computing, database management, and technology consulting across industries such as finance, marketing, operations, and international business.