Joint Major in Computer Science and Data Science
Joint Major
The joint major in computer and data science targets students who seek comprehensive training in two bodies of knowledge:
- Computer science, an established field that advances computing, programming, and building large-scale and intelligent systems
- Data science, an emerging field that leverages computer science, mathematics, and domain-specific knowledge to analyze large data collections using data mining, predictive statistics, visualization, and efficient data management.
The joint major in computer and data science trains students to use data science systems, the automated systems that effectively predict outcomes of interest and that extract insights from increasingly large data sets. This training enables students to participate in harnessing the power of data and in influencing policies that will govern the rollout of data science technologies. In addition, students gain the ability to build such systems.
This is an interdisciplinary major (eighteen courses/72 points) offered by the Department of Computer Science and the Center for Data Science. Please see the College of Arts & Sciences Bulletin for the full major requirements, and don’t hesitate to get in touch with any questions. We can be reached at cds-undergraduate@nyu.edu.
Joint Major in Data Science and Mathematics
The joint major in data science and mathematics trains students to use data science methods, and enables them to understand the mathematical theories that go into the analysis of large data sets. It will allow students to apply mathematical theories to real-world challenges that need data science and computational solutions.
This is an interdisciplinary major (eighteen courses/72 points) offered by the Center for Data Science and Courant’s Department of Mathematics. Please see the College of Arts & Sciences Bulletin for the full major requirements, and don’t hesitate to get in touch with any questions. We can be reached at cds-undergraduate@nyu.edu.