Data Science at NYU Shanghai is designed to create data-driven leaders with a global perspective, a broad education, and the capacity to think creatively. Data science involves using computerized methods to analyze massive amounts of data and to extract knowledge from them. Data science addresses a wide-range of data types, including scientific and economic numerical data, textual data, and image and video data.
Requirements for the Minor
| Course Title | Credits |
| CSCI-SHU 101 Introduction to Computer Science | 4 |
| CSCI-SHU 210 Data Structures | 4 |
| CSCI-SHU 360 Machine Learning | 4 |
| DATS-SHU 101 Introduction to Data Science | 4 |
Choose One Course Below: MATH-SHU 235 Probability and Statistics MATH-SHU 238 Honors Theory of Probability SOCS-SHU 141 Methods of Social Research | 4 |
| Total Credits | 20 |
Note:
- Computer Science majors should additionally take DATS-SHU 235 Information Visualization Information Visualization or CSCI-SHU 213 Databases to earn at least 12 unique credits for the minor.
- Students who matriculated before Fall 2026 may follow the requirements outlined in the previous academic bulletin.
Faculty Mentors
Faculty mentors are the leading faculty and experts in the major disciplines. Students can reach out to faculty mentors for specific questions about the major, and references for connecting with relevant discipline resources. If you have specific questions about specific fields of study within the major, you can search for faculty through the faculty directory.
Area Head of Data Science, Associate Professor of Practice in Data Science