Data Science

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

Choose One Course Below:

ECON-SHU 301 Econometrics

MATH-SHU 234 Mathematical Statistics

4

Choose One Course Below:

BUSF-SHU 101 Statistics for Business and Economics

MATH-SHU 235 Probability and Statistics

MATH-SHU 238 Honors Theory of Probability

SOCS-SHU 141 Methods of Social Research

4
Total Credits 20

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.

Li Guo

Area Head of Data Science, Associate Professor of Practice in Data Science

Frequently Asked Questions
1. How can a computer science major student meet the Data Science minor requirement?

Computer Science majors should additionally take CSCI-SHU​ 235 Information Visualization or CSCI-SHU 213 Databases to earn at least 12 unique credits for the minor.