At Bennington, students work closely with faculty to design the content, structure, and sequence of their study and practice—their Plan—taking advantage of resources inside and outside the classroom to pursue their work.
Computer science is increasingly considered a core literacy. It is not only a rich field in its own right—with its own intellectual challenges, traditions and approaches to solving problems—but is indispensable in almost every other discipline. Bennington students can explore this field in a number of ways through project-based courses: they can choose to complement Plans in other disciplines or they can deeply explore computing and computational principles as part of a concentration in computer science.
Students with an interest in computer science can choose an entry point that suits their level of experience, interest and comfort—studying game design, introductory programming or other timely or timeless topics related to computer science. While the topics of these courses differ, they share goals that help students develop the technical skills and broader context needed advance in and beyond the discipline.
Bennington College Field Work Term (FWT) provides a broad range of experiences through internships with startups or major companies, giving students a taste of the wide array of opportunities available for students with a computer science background. FWT also provides opportunities for independent research both with Bennington faculty and computer science researchers at universities and private companies.
Meltem Ballan is a neurodiverse computer engineer and neuroscientist. She researches the effects of AI and studies Sustainable AI solutions on different disciplines, behavioral interventions and software tools as medical treatment, reducing the environmental effects of blockchain and fashion using AI. She is passionate about TRUE Diversity and Inclusion in the STEM domain, particularly AI and Data Science.
Darcy Otto is a computer scientist who studies the foundations of computation, artificial intelligence, quantum computing, and AI Ethics.
Visiting Faculty & Technicians
Michael Corey is a data scientist working in responsible/ethical AI, privacy, blockchain, and visualization. A lapsed sociologist, he focuses on user-centered product development and applies social science to technological questions.