New York University Graduate School of Arts and Science 30 courses 36 total credits
The Master of Science in Data Science is a highly-selective program for students with a strong background in mathematics, computer science, and applied statistics. The degree focuses on the development of new methods for data science. Our networked world is generating a deluge of data that no human, or group of humans, can process fast enough. This data deluge has the potential to transform the way business, government, science, and healthcare are carried out. But too few possess the skills needed to use automated analytical tools and cut through the noise to create knowledge from big data. A new discipline has emerged to address the need for professionals and researchers to deal with the βdata tidal wave.β Its objective is to provide the underlying theory and methods of the data revolution. This emergent discipline is known by several names. We call it βdata science,β and we have created the worldβs first MS degree program devoted to it.
| Other Elective Credits | 18 credits |
Major Requirements
| Code | Course Title | Credits |
|---|---|---|
| DS-GA 1001 | Introduction to Data Science | 3 |
| DS-GA 1002 | Probability and Statistics for Data Science I | 3 |
| DS-GA 1003 | Machine Learning | 3 |
| DS-GA 1004 | Big Data | 3 |
| DS-GA 1006 | Capstone Project and Presentation | 3 |
Electives
Select one of the following:
Required Course
| Code | Course Title | Credits |
|---|---|---|
| DS-GA 1009 | Practical Training for Data Science | 3 |
Concentration Electives
Big Data
Concentration Electives
Natural Language Processing
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