Real World Applications of Data Science and Analytics

3 credits · Graduate Programs

This course introduces students to end-to-end data science and analytics projects through applied case studies, emphasizing real-world implementation of artificial intelligence and other data-driven methodologies. By integrating applied methods with considerations of project management, communication, and professional skills, the course helps prepare students to design, manage, and deliver end-to-end data analytics projects. Prerequisite(s): Admission to the Master of Data Science and Analytics and 24 units in 600-level Data Science courses. Also known as: (formerly Data Science 691)