Minor in Data Science
Minor in Data Science
The minor in data science allows students to learn foundational computational analysis concepts and use data science methods and tools to answer important questions. Students will be able to apply those concepts to a range of domain-specific issues that relate to their major course of study.
Students completing the minor will gain a robust introduction to data science principles, while specializing in other liberal arts fields. They will have opportunities for hands-on experience working with real world datasets, and they will cultivate knowledge about the ethical issues related to data science.
Additionally, thanks to a grant from the NYU Curricular Development Challenge Fund, students will experience locally-inflected data science that explores contemporary urban and social issues relating to our home city of New York.
The minor consists of five four-point courses (20 credits). It is suitable for students in all disciplines and gives students from all backgrounds an array of core data science skills, methodologies, and philosophies.
The minor has three pathways. Each pathway shares the same three data science courses, the two computer science courses will be determined by your level of programming experience.
Please visit the College of Arts & Sciences Bulletin on the minor for a comprehensive listing of requirements for a minor in data science.