The Certification of Professional Achievement in Data Sciences prepares students to expand their career prospects or change career paths by developing foundational data science skills.

Candidates for the Certification of Professional Achievement in Data Sciences, a non-degree, part-time program, are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization.

This program is jointly offered in collaboration with the Graduate School of Arts and Sciences and The Fu Foundation School of Engineering and Applied Sciences. Join us from anywhere in the world as the program is now also offered online.

Columbia data science students