Provides a framework for students to initiate, perform and successfully complete a real-world project in Data Science and Analytics. This includes problem identification and formulation; discussion of legal, social, and ethical issues in data-driven projects; holistic processing and application of data; communication and data storytelling skills as well as leadership skills. In addition, students will be exposed to emerging topics in Data Science and Analytics.
This course may not be repeated for credit.
Prerequisite(s)
- Admission to the Master of Data Science and Analytics and 24 units in 600-level Data Science courses.
Sections