New York University NYU Shanghai 7 courses 20 total credits
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. This new discipline draws from methodologies and tools in several well-established fields, including computer science, statistics, applied mathematics, and economics. Data science has applications in just about every academic discipline, including sociology, political science, digital humanities, linguistics, finance, marketing, urban informatics, medical informatics, genomics, image content analysis, and all branches of engineering and the physical sciences. The importance of data science is expected to accelerate in the coming years, as data from the web, mobile sensors, smartphones, and Internet-connected instruments continues to grow. Students who complete the major will not only have expertise in computer programming, statistics, and data mining, but also know how to combine these tools to solve contemporary problems in a discipline of their choice, including the social science, physical science, and engineering disciplines. Upon graduation, data science majors have numerous career paths. Data Science majors can go on to graduate school in data science, computer science, social science, business, finance, medicine, law, linguistics, education, and so on. Outside of academia, there are also myriad career paths. Not only can graduates pursue careers with traditional data-driven computer-science companies and startups such as Google, Facebook, Amazon, and Microsoft, but also they can also be valuable to companies in the transportation, energy, medical, and financial sectors. Graduates can also pursue careers in the public sector, including urban planning, law enforcement, and education.
Required Courses
| Code | Course Title | Credits |
|---|---|---|
| CSCI-SHU 101 | Introduction to Computer Science | 4 |
| DATS-SHU 101 | Introduction to Data Science | 4 |
| CSCI-SHU 210 | Data Structures | 4 |
| CSCI-SHU 360 | Machine Learning | 4 |
Required Courses
Select one of the following:
| Code | Course Title | Credits |
|---|---|---|
| MATH-SHU 235 | Probability and Statistics | 4 |
| MATH-SHU 238 | Honors Theory of Probability | 4 |
| SOCS-SHU 141 | Methods of Social Research | |
| Total Required Courses | 4 credits | |
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