This course is designed to introduce students to frameworks and methods for thinking critically about our screen- and data-saturated environments. Starting with the premise that studying these environments involves both reading about and working with media and data, the course consists of lectures, group discussion of assigned texts, and a weekly “collaboratory” where students will engage in hands-on activities to learn the basics of data analysis through the programming language Python. By the end of the course, students will have learned various methods and approaches for studying media, data, and culture, including: critical textual analysis of visual culture; the history and ethics of surveillance and data collection; and exploratory data analysis of social media/Twitter discourse. As we explore these approaches to the study of media, technology, and culture, we will consider the stakes of such inquiry from the standpoint of justice and equity.