New York University College of Arts and Science 29 courses 128 total credits
The Computer and Data Science major integrates the full Data Science curriculum with the Computer Science curriculum. Students develop strong foundations in statistical modeling, machine learning, and data-driven reasoning, alongside advanced coursework in algorithms, computer systems, and related areas of computer science. The curriculum emphasizes computational methods and scalable system design, preparing students to build and deploy data-driven systems and to engage with the computational foundations of modern data science and artificial intelligence. Students may contact cds-undergraduate@nyu.edu and undergrad@cs.nyu.edu with questions. New York University's Office of Undergraduate Admissions supports the application process for all undergraduate programs at NYU. For additional information about undergraduate admissions, including application requirements, see How to Apply.
General Education Requirements
First-Year Seminar
| Code | Course Title | Credits |
|---|---|---|
| EXPOS-UA 1 | Writing as Inquiry | 4 |
Major Requirements
Computer Science Requirements
Major Requirements
Data Science Requirements
| Code | Course Title | Credits |
|---|---|---|
| DS-UA 111 | Principles of Data Science I | 4 |
| DS-UA 112 | Principles of Data Science II | 4 |
| DS-UA 201 | Causal Inference | 4 |
| DS-UA 202 | Responsible Data Science | 4 |
Major Requirements
Mathematics Requirements
| Code | Course Title | Credits |
|---|---|---|
| MATH-UA 120 | Discrete Mathematics | 4 |
| MATH-UA 121 or MATH-UA 131 | Calculus I or Mathematics for Economics I | 4 |
| MATH-UA 122 or MATH-UA 132 | Calculus II or Mathematics for Economics II | 4 |
| MATH-UA 123 or MATH-UA 133 | Calculus III or Mathematics for Economics III | 4 |
| MATH-UA 140 or MATH-UA 148 | Linear Algebra or Honors Linear Algebra | 4 |
| MATH-UA 185 | Probability & Statistics | 4 |
Major Requirements
Computer Science Electives (choose two):
| Code | Course Title | Credits |
|---|---|---|
| CSCI-UA 202 | Operating Systems | 4 |
| CSCI-UA 469 | Natural Language Processing | 4 |
| CSCI-UA 475 | Predictive Analytics | 4 |
| CSCI-UA 476 | Processing Big Data for Analytics Applications | 4 |
| CSCI-UA 480 | Special Topics in Computer Science | 4 |
| Total Major Requirements | 8 credits | |
Major Requirements
Advanced Elective Requirement (choose one):
| Code | Course Title | Credits |
|---|---|---|
| DS-UA 205 | Machine Learning for Climate Change | 4 |
| DS-UA 301 | Advanced Topics in Data Science | 4 |
| DS-UA 302 | Natural Language Processing | 4 |
| Total Major Requirements | 4 credits | |
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