Columbia introduced a new minor in Artificial Intelligence for undergraduates not studying computer science.

On Tuesday, October 28, Columbia Engineering announced their new Minor in Artificial Intelligence. The program aims to provide students not studying computer science with foundational skills in artificial intelligence, computing, and ethics around this technology. In an email sent to Columbia Engineering students, Dean Shih-Fu Chang described the minor as providing “cutting-edge knowledge and skills essential for success in today’s tech-driven environment,” allowing for further career opportunities for students. 

Chang explained the goals of the program, remarking that not only will it provide fundamental skills related to AI computing, but it will also explore issues such as “bias, fairness, and societal and environmental impact.” A press release from Columbia Engineering claimed that this social commitment to responsible AI is what makes Columbia’s AI minor unique. The program was partially designed by Teaching Professor of Computer Science Adam Cannon, who commented that the minor teaches foundational skills in a nuanced setting, allowing graduates to have “immediate impact in their respective fields.” 

The new minor will consist of six courses and is available to Engineering students who have declared a major other than computer science. Linear algebra, probability, and programming competency comprise the minor’s foundation. As students progress, they will also take  core courses on artificial intelligence, ethics, and a specialized AI elective.. Further information regarding the curriculum and course requirements can be found in the Columbia Engineering Bulletin. If interested in the minor, students should contact their Advising Dean and the Computer Science Department. 

Email from SEAS Dean Shih-Fu Chang to the SEAS community on October 28, 2025 at  at 10:39 am:

Columbia Engineering is excited to announce the launch of our new Minor in Artificial Intelligence! This innovative program from Computer Science is crafted to provide students, who are not majoring or minoring in computer science, with a solid foundation in Artificial Intelligence, computing and their ethical and responsible use. It aims to equip you with the cutting-edge knowledge and skills essential for success in today’s tech-driven environment.

The minor encompasses an exploration of core AI and computing technologies and real-world applications via a diverse selection of elective courses. As AI becomes increasingly integral to engineering and applied sciences, a nuanced understanding of issues like bias, fairness, and societal and environmental impact becomes essential. This minor ensures that our students are not only technically proficient but also well-versed in the ethical considerations essential for responsible AI use.

This six-course curriculum is thoughtfully structured, building upon fundamental concepts in linear algebra and probability, as well as both introductory and intermediate programming skills. It offers a formal introduction to the techniques of constructing intelligent computer systems while also addressing the ethical and responsible use of AI. Students will also select an elective from a growing list of over 40 courses, allowing for tailored exploration and specialization.

The minor is now available to Engineering students who have declared a major (sophomores, juniors, seniors) and are not pursuing a computer science major or minor. Those interested in declaring this minor should consult their advisor in the Berick Center for Student Advising (CSA) and the Computer Science Department. Specific curricular questions can be directed to ug-advising@cs.columbia.edu.

With AI’s pivotal role in modern industries, this minor sets the stage for students to embark on exciting career paths, from innovative startups, to non-profit organizations, to established multinational corporations. Join us in this forward-thinking program and position yourself at the forefront of a future where AI and human intelligence work collaboratively for societal improvement.

Shih-Fu Chang, Dean
Barclay Morrison, Senior Vice Dean
Luca Carloni, Chair of CS Department
Adam Cannon, Teaching Professor of CS

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