New York University Graduate School of Arts and Science 16 courses 36 total credits
The MS in Scientific Computing, offered jointly by the Departments of Mathematics and of Computer Science, provides broad rigorous training in areas of mathematics and computer science related to scientific computing. It aims to prepare people for a technical career in scientific computing or for further study in a field with computing as an essential element. The program accommodates both full-time and part-time students, with most courses meeting in the evening. Required coursework includes core mathematical and computer science material related to scientific computing. Students choose electives specific to their interest and goals. Specific application areas include mathematical and statistical finance, machine learning/data science, fluid mechanics, finite element methods, and biomedical modeling. The program culminates in a capstone project, which serves to integrate the classroom material. All applicants to the Graduate School of Arts and Science (GSAS) are required to submit the general application requirements, which include:
Major Requirements
Mathematics Core
| Code | Course Title | Credits |
|---|---|---|
| MATH-GA 2010 | Numerical Methods I | 3 |
| MATH-GA 2020 | Numerical Methods II | 3 |
Major Requirements
Select two of the following:
| Code | Course Title | Credits |
|---|---|---|
| MATH-GA 2701 | Methods of Applied Mathematics | 3 |
| MATH-GA 2490 | Introduction to Partial Differential Equations | 3 |
| MATH-GA 2702 | Fluid Dynamics | 3 |
| MATH-GA 2704 | Applied Stochastic Analysis | 3 |
| MATH-GA 2962 | Mathematical Statistics | 3 |
| MATH-GA 1002 | Multivariable Analysis | 3 |
| Total Major Requirements | 6 credits | |
Major Requirements
Computer Science Core
| Code | Course Title | Credits |
|---|---|---|
| CSCI-GA 1170 | Fundamental Algorithms | 3 |
| CSCI-GA 2110 | Programming Languages | 3 |
Major Requirements
Select two of the following:
| Code | Course Title | Credits |
|---|---|---|
| CSCI-GA 2270 | Computer Graphics | 3 |
| CSCI-GA 2565 | Machine Learning | 3 |
| CSCI-GA 2566 | Foundations of Machine Learning | 3 |
| DS-GA 1001 | Introduction to Data Science | 3 |
| DS-GA 1003 | Machine Learning | 3 |
| DS-GA 1004 | Big Data | 3 |
| Total Major Requirements | 6 credits | |
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